Welcome to the Veterans Patriot Action Conference (VPAC) & Welcome all you
Vets in the Fight®
The Veterans Patriot Action Conference is one of the younger combat veteran organizations on the block, incorporated in the Summer of 2015. We are a non-profit veteran organization under provisions of IRS 501 (c) 19.
We believe that veterans represent a vast, and untapped, reservoir of values, ethos, mission-first outlook and personal honor; attributes that ae sadly fading from the American culture.
We believe that the military veteran is the final American institutional reservoir of these key values shaped and inculcated through the crucible of honorable service.
We believe that veterans must stick together in a world, at least for the moment, that claims to approve of us and of our honorable service, a condition that can change rapidly, as those of us who served in Vietnam will vouch.
We believe that the values of Duty, Honor, Country and Competence in the face of adversity are qualities that have become a rarity in our society, yet, are ingredients indispensable to the sustainment of a viable republic.
We believe that most veterans carry into civilian life, whether after three years or after thirty years of honorable service, a sense of purpose summarized by their open-ended military oaths, which state in part...
" I ... do solemnly swear (or affirm) that I will support and defend the Constitution of the United States against all enemies, foreign or domestic, that I will bear true faith and allegiance to the same; that I take this obligation freely, without any mental reservations or purpose of evasion ... So help me God."
These we call Vets in the Fight®, men and women who’s conduct and actions represent the values espoused in their oaths.
Vets in the Fight® is also a concept aimed at giving substance to those special qualities in continuing service to our Nation.
Vets in the Fight® must: Vote, they must serve in public office, they must hold government accountable in adherence to the US Constitution, as written.
VPAC and Vets in the Fight® is born in Charleston, South Carolina, February 2016.
The Veterans Patriot Action Conference (VPAC for short) held its first conference on 18 -19 February 2016, in Charleston, SC. Over 100 special operations and other service veterans and wives from across the country assembled for VPAC I, where we were given a world level perspective on national security by distinguished professionals, like:
Admiral James 'Ace' Lyons
- former US Commander in Chief, Pacific (USCINCPAC)
Lieutenant General Tom McInerney
- former US Air Force combat wing commander
- Assistant Vice Chief of Staff of the US Air Force
- and FoxNews contributor
Lieutenant Colonel Jay Delancy
- USAF retired
- CEO of the VoterIntegrityProject.com
and other subject matter experts
You see, we wanted to gain a better understanding of our operational and civic environment, and to begin maturing the VPAC approach to providing veterans a venue beyond just a
beer and barbecue (although, we’ll do that, too).
In the course of VPAC I, it became clear that what we’d initiated was a veteran
forum, a kind of think-tank, a problem-solving environment, where we applied our varied experience and the military decision-
making process (MDMP) to the resolution of those issues.
One of our key issues was to give veterans a voice in their Republic, hence
the adoption of the Vets in the Fight® concept.
VPAC is recognized by a future President
On Day 2 of our VPAC I, we were honored to have visits by Dr. Ben Carson, world renowned surgeon, and by Mr. Donald Trump,
accomplished businessman, both candidates running in the 2016 South Carolina
Presidential Primary Elections the following day.
(All candidates were invited to VPAC I, but only Dr. Carson and Mr. Trump responded.) Each of them brought his own
approach to national security, and each contributed to maturing our Vets in the
Fight® concept.
Mr. Trump, especially, was interested in our top veteran issues. He
gave us a thumbs-up on our VPAC efforts and accepted a Vets in the Fight® challenge
coin that sits today on display behind his Oval Office desk.
The Conference Continues
We will continue the VPAC forum, a continuing conference at physical locations as well as virtually online. This website is part of the online conversation about key issues, to include Women in Ground Combat and the VPAC 21 st Century Warrior Veterans Health System.
Come join us as we give voice to you, part of the 18 million military veterans living in the United States, the Nation underwritten by your service in peace and war.
Take Action Now!


IncrementalNumber is a JQuery library for anyone who wants an Incremental animation of a number.
First you have to add the script incrementalNumber.js to your code.
Next, simply add the class incrementalNumber to the tag of the number.
This will search for all de tags with this class.
Finally you have to pass the number as a parameter in data-value attr.
Dont forget to call the function incrementalNumber when the document is ready!

Example:
If the number is to big, you can add the parameter big-Number and de count start 10% less the total.
Example:
If the number is more big, you can especificate the start number like this:
Example:
You can add text to the end with the parameter set-text
Example:
The last option can set the total time of the "animate" with set-time in ms
Example:
If the numer is to big, this may not work. You have to use big-number also to make it.
This is all. Hope you like it.
Barto!


noun
means 'ant' in Brazilian Portugese
Jiu-jitsu is easily one of the most difficult things I have had the pleasure of doing. It has taught me focus and the discipline to handle adversity. I am now in a position to teach what I have learned along the way, which continues to be an amazing and fullfilling part of my life.
When I'm not worrying about competition weight, I allow myself to
enjoy a special meal here and there. Check my food adventures
here
.
Blog posts, news, and videos for all matters jiu-jitsu will go here!
According to a tweet by MMA journalist Joss Gross, Rodolfo Vieira has signed a contract with UFC. Rodolfo Vieira is a BJJ and ADCC world champion who has been a top competitor for years in the sport of jiu-jitsu. He currently has a 5-0 record in mixed martial arts (MMA) fighting in smaller organizations. The Ultimate Fighting Championships (UFC) is currently the sport of MMA's biggest organization.
News here: ADCC and BJJ world champion Rodolfo Vieira signed with UFC, I'm told. The 29-year-old Brazilian is likely to make his Octagon debut against Oskar Piechota in Montevideo, Uruguay, on Aug. 10. Vieira, a powerful grappler, is 5-0 in MMA after a win last weekend in Poland.
— Josh Gross (@yay_yee) June 13, 2019
Last Sunday a few of our team members participated in a local tournament. While some teammates did well, others, unfortunately, did not. It is a part of the game that everyone goes through.
In that loss is the secret to your future wins."
That had a profound impact for me. No, I didn't compete this weekend, but that advice resonated and is applicable with anything in life.


{include file="public/_head" /} {include file="public/_left" /} 编辑 {$Info.content} 修改 {include file="public/_foot" /}


public interface SubjectConfirmationData extends SAMLObject, org.opensaml.core.xml.ElementExtensibleXMLObject, org.opensaml.core.xml.AttributeExtensibleXMLObject
| Modifier and Type | Field and Description |
|---|---|
static String |
ADDRESS_ATTRIB_NAME
Address attribute name.
|
static String |
DEFAULT_ELEMENT_LOCAL_NAME
Element local name.
|
static QName |
DEFAULT_ELEMENT_NAME
Default element name.
|
static String |
IN_RESPONSE_TO_ATTRIB_NAME
InResponseTo attribute name.
|
static String |
NOT_BEFORE_ATTRIB_NAME
NotBefore attribute name.
|
static String |
NOT_ON_OR_AFTER_ATTRIB_NAME
NotOnOrAfter attribute name.
|
static String |
RECIPIENT_ATTRIB_NAME
Recipient attribute name.
|
static String |
TYPE_LOCAL_NAME
Local name of the XSI type.
|
static QName |
TYPE_NAME
QName of the XSI type.
|
| Modifier and Type | Method and Description |
|---|---|
String |
getAddress()
Gets the IP address to which this information may be pressented.
|
String |
getInResponseTo()
Gets the message ID this is in response to.
|
DateTime |
getNotBefore()
Gets the time before which this subject is not valid.
|
DateTime |
getNotOnOrAfter()
Gets the time at, or after, which this subject is not valid.
|
String |
getRecipient()
Gets the recipient of this subject.
|
void |
setAddress(String newAddress)
Sets the IP address to which this information may be pressented.
|
void |
setInResponseTo(String newInResponseTo)
Sets the message ID this is in response to.
|
void |
setNotBefore(DateTime newNotBefore)
Sets the time before which this subject is not valid.
|
void |
setNotOnOrAfter(DateTime newNotOnOrAfter)
Sets the time at, or after, which this subject is not valid.
|
void |
setRecipient(String newRecipient)
Sets the recipient of this subject.
|
getUnknownXMLObjects, getUnknownXMLObjects
getUnknownAttributes
detach, getDOM, getElementQName, getIDIndex, getNamespaceManager, getNamespaces, getNoNamespaceSchemaLocation, getObjectMetadata, getOrderedChildren, getParent, getSchemaLocation, getSchemaType, hasChildren, hasParent, isNil, isNilXSBoolean, releaseChildrenDOM, releaseDOM, releaseParentDOM, resolveID, resolveIDFromRoot, setDOM, setNil, setNil, setNoNamespaceSchemaLocation, setParent, setSchemaLocation
static final String DEFAULT_ELEMENT_LOCAL_NAME
static final QName DEFAULT_ELEMENT_NAME
static final String TYPE_LOCAL_NAME
static final QName TYPE_NAME
static final String NOT_BEFORE_ATTRIB_NAME
static final String NOT_ON_OR_AFTER_ATTRIB_NAME
static final String RECIPIENT_ATTRIB_NAME
static final String IN_RESPONSE_TO_ATTRIB_NAME
static final String ADDRESS_ATTRIB_NAME
DateTime getNotBefore()
void setNotBefore(DateTime newNotBefore)
newNotBefore
- the time before which this subject is not validDateTime getNotOnOrAfter()
void setNotOnOrAfter(DateTime newNotOnOrAfter)
newNotOnOrAfter
- the time at, or after, which this subject is not validString getRecipient()
void setRecipient(String newRecipient)
newRecipient
- the recipient of this subjectString getInResponseTo()
void setInResponseTo(String newInResponseTo)
newInResponseTo
- the message ID this is in response toString getAddress()
void setAddress(String newAddress)
newAddress
- the IP address to which this information may be pressentedCopyright © 1999–2016 Shibboleth Consortium. All rights reserved.


All PayPal transaction data is stored for your reference. This information is read-only and is created by PayPal.
Remove: Deletes one or more transaction records.
View: Opens the PayPal Transaction View screen to allow you to view details for the transaction.
Export/CSV: Exports transaction details for one or more PayPal Transactions to a csv file. The csv file can be read into Excel for reporting purposes.
Help: Opens this help screen.
PayPal txnID: Unique ID, assigned by PayPal, for the transaction.
Request ID: The Booking Request to which the PayPal transaction refers.
Buyer's Name: Name of the buyer in the transaction.
Email: Email address of the buyer in the transaction.
Date: Transaction date.
Status: Transaction status.
Total, Fee & Tax: Amounts charged to the customer. Tax settings are controlled in you PayPal account.
Click on the PayPal txnID link to open the view screen.
Click in the Request ID link to open the request detail screen.


Esperance local who received state's first heart transplant celebrates milestone
by Sarah MakseThe state's first heart transplant patient travelled to Perth last month to celebrate 25 years of the Advanced Heart Failure and Cardiac Transplant Service.
Esperance local Rodney Western was the first patient to receive a heart following the opening of the service at Royal Perth Hospital in November 1995.
The service marked the first time West Australians could receive heart treatment and care in their own state.
Mr Western's successful procedure paved the way for 198 WA patients to receive healthy heart transplants.
He has been visiting the team at Fiona Stanley Hospital for the past 24 years and enjoyed a healthy life.
Mr Western said his transplant enabled him to live a full life of work, hobbies, time with his wife, three children and eight grandchildren.
"Although it's been 24 years since my transplant I remember clearly the day I received the phone call asking me to come Perth for the transplant, I was excited and nervous at the same time," he said.
"It all worked out really well with the team having me up and walking quite soon after the operation."
On average, there are 10 heart transplants and seven Ventricular Assists Devices implanted each year in WA.


Minimal HTML UI
Title for graph:
My first graph
What sort of graph you would like ?
linear
Quadratic
Here is the picture of my cat


Some elements aren't displayed because they don't match the search.
Clear search.
Search text is too short, must have at least 4 characters.
Active Application Threads
{{t.state}}
{{t.name}}
{{filteredStackTrace(t).length}}
{{runningMillis(t)}}
Other Threads
{{t.state}}
{{t.name}}
{{filteredStackTrace(t).length}}


{{someProperty}}
someProperty = {{someProperty2}}
{{someProperty2}}
someProperty = {{someProperty3}}
select two fish:
one fish
two fish
{{isTwoFish}}


EPICODUS TRACK SUGGESTER
Choosing a track for Epicodus may not be easy, especially if you don't know anything about programming. This quick quiz will suggest a track for you based on your interests and expectations.
Take Quiz here.


#include <logic.h>
|
| | UndiffCore (ParseXML *XML_interface, int ithCore_, InputParameter *interface_ip_, const CoreDynParam &dyn_p_, bool exist_=true, bool embedded_=false) |
| |
| void | displayEnergy (uint32_t indent=0, int plevel=100, bool is_tdp=true) |
| |
| | ~UndiffCore () |
| |
| | Component () |
| |
| | ~Component () |
| |
| double | compute_gate_area (int gate_type, int num_inputs, double w_pmos, double w_nmos, double h_gate) |
| |
| double | compute_tr_width_after_folding (double input_width, double threshold_folding_width) |
| |
| double | height_sense_amplifier (double pitch_sense_amp) |
| |
|
| int | logical_effort (int num_gates_min, double g, double F, double *w_n, double *w_p, double C_load, double p_to_n_sz_ratio, bool is_dram_, bool is_wl_tr_, double max_w_nmos) |
| |
Definition at line 220 of file logic.h.
◆ UndiffCore()
◆ ~UndiffCore()
| UndiffCore::~UndiffCore |
( |
| ) |
|
|
inline |
◆ displayEnergy()
| void UndiffCore::displayEnergy |
( |
uint32_t |
indent = 0 , |
|
|
int |
plevel = 100 , |
|
|
bool |
is_tdp = true |
|
) |
| |
◆ chip_PR_overhead
| double UndiffCore::chip_PR_overhead |
◆ clockRate
| double UndiffCore::clockRate |
◆ core_ty
◆ coredynp
◆ embedded
| bool UndiffCore::embedded |
◆ executionTime
| double UndiffCore::executionTime |
◆ exist
◆ interface_ip
◆ is_default
| bool UndiffCore::is_default |
◆ issue_width
| double UndiffCore::issue_width |
◆ ithCore
◆ macro_PR_overhead
| double UndiffCore::macro_PR_overhead |
◆ num_hthreads
| double UndiffCore::num_hthreads |
◆ opt_performance
| bool UndiffCore::opt_performance |
◆ pipeline_stage
| double UndiffCore::pipeline_stage |
◆ scktRatio
| double UndiffCore::scktRatio |
◆ XML
The documentation for this class was generated from the following files:
- gpgpu-sim_distribution/src/gpuwattch/logic.h
- gpgpu-sim_distribution/src/gpuwattch/logic.cc


<lcGapAnalysis>
The <lcGapAnalysis>
compares
existing learning objectives to current job task
analysis.
Category: Learning and training: common content elements


patch: The {_parameter} that determines how the sound processing modules in a {_voice} are interconnected. It includes options like sync and ring modulation.
Also: {Control_patch} parameter


Galvanize
It's all about HTML yo
Home Base
How to Get Free Pizza
Location
Your Right to Code
Follow me on twitter
How to Get Free Pizza
Location
Where Da Classes At?
Your Right to Code
How to Become A Student


Hospital name : {{hosp.hospital.user.username}}
Hospital Location: {{hosp.hospital.location}}
Hospital Phone No : {{hosp.hospital.phno}}
Hospital Description: {{hosp.hospital.description}}
{% if hosp.address != None %}Hospital Address: {{hosp.address}}
{% endif %} {% if hosp.pin_code != None %}Hospital Pincode: {{hosp.pin_code}}
{% endif %} {% if hosp.district != None %}Hospital District: {{hosp.district}}
{% endif %} {% if hosp.state != None %}Hospital State: {{hosp.state}}
{% endif %} {% if hosp.taluka != None %}Hospital Taluka: {{hosp.taluka}}
{% endif %} {% if hosp.staff_strength != None %}Hospital Staff Strength: {{hosp.staff_strength}}
{% endif %} {% if hosp.cost_range != None %}Hospital Cost Range: {{hosp.cost_range}}
{% endif %} {% if hosp.operation_facilty == True %}Hospital Operation Facilty: Yes
{%else%}Hospital Operation Facilty: No
{% endif %} {% if hosp.emergency_facility == True %}Hospital Emergency Facility: Yes
{%else%}Hospital Emergency Facility: No
{% endif %} {% if hosp.beds_count != None %}Hospital Beds Count: {{hosp.beds_count}}
{% endif %} {% if hosp.beds_occupied != None %}Hospital Beds Occupied: {{hosp.beds_occupied}}
{% endif %}


Tyro Form Errors Tests
Password
Select
Male
Female
Check me out
Planets
Venus
Mars
Jupiter
Cities
None
Montpellier
Montreal
Submit


Good packages aren't just popular today, but tomorrow as well.
Good packages play nicely with the packages you already use.
Good packages don't duplicate functionality in other packages.
Good packages are often the ones your company already uses.
Good packages are the needles in a haystack of millions of packages.


My in vitro meat research has three main aims: 1) Close the gap in similarity between in vitro meat and livestock meat, 2) Develop muscle cell isolation methods for different species, such as pigs and lobsters, 3) Develop a suitable bioreactor system for in vitro meat production.
How do you improve the similarity of in
vitro meat to livestock meat?
Muscle (meat) is grown from the process of
myogenesis: where individual muscle stem
cells fuse together to form large elongated
muscle fibers. In vitro meat products must
undergo myogenesis the way muscle cells
do in the body.
My research focuses on enhancing in vitro
meat myogenesis through using 2D cell
cultures and 3D tissue cultures. By
studying myogenesis, we can grow bigger
and better muscle with the taste and
texture of livestock meat.
Why pig and lobster in vitro meat products?
Pigs are one of the smartest animals on
the planet (along with humans, elephants,
and dolphins), but also one of the most
delicious (I mean, who doesn't love
bacon?). Therefore making an in vitro meat
option for pork and bacon is imperative.
On the other hand, lobster meat has a very high price-per-pound, making it an easier target to provide a competitive in vitro meat price in comparison to beef.
How do you grow in vitro meat outside of
an animal?
Growing cells and tissues outside of the
body requires an ex vivo approach using
bioreactors. Currently, no bioreactor
system accommodates all the physiological
needs for growing in vitro meat. The
ExVivo BioRxr bioreactor is designed to
overcome these design limitations. The
ExVivo BioRxr improves nutrient and
oxygen delivery to in vitro meat by acting
as an artificial heart that pumps artificial
blood into the muscle. This system will
"exercise" the muscle to improve its
development, the way muscle is exercised
in the body to increase its strength. This
bioreactor system will grow bigger and
better in vitro meat than current industry
methods.


Use the checkbox below to ignore finalize() implementations with an empty method body or a body containing only if statements which have a condition which evaluates to false at compile time. For performance reasons it can be beneficial to override a non-trivial finalize() with an empty implementation in a subclass. An empty final finalize() implementation can also be used to prevent subclasses from overriding.
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--- layout: post title: Please ignore published: false ---
No Need to Click Here - I'm just claiming my feed at Feedster


CNNs in Practice
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 1 17 Feb 2016
Midterms are graded!
Pick up now
Or in Andrej, Justin, Albert, or Serena’s OH
Project milestone due today, 2/17 by midnight
Turn in to Assignments tab on Coursework!
Assignment 2 grades soon
Assignment 3 released, due 2/24
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 2 17 Feb 2016
Mean: 75.0 Median: 76.3 Standard Deviation: 13.2
N: 311 Max: 103.0
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 3 17 Feb 2016
[We threw out TF3 and TF8]
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 4 17 Feb 2016
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 5 17 Feb 2016
Bonus mean: 0.8
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 6 17 Feb 2016
Vanilla RNNs
LSTMs
Recurrent neural networks
for modeling sequences
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 7 17 Feb 2016
Last Time
Sampling from RNN language models to generate text
|
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| CNN + RNN for |
|
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| image captioning | ||
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 9 17 Feb 2016
Working with CNNs in practice:
Making the most of your data
Data augmentation
Transfer learning
All about convolutions:
How to arrange them
How to compute them fast
“Implementation details”
GPU / CPU, bottlenecks, distributed training
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 10 17 Feb 2016
Data Augmentation
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 11 17 Feb 2016
Load image
and label
“cat”
Compute
loss
CNN
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 12 17 Feb 2016
Load image
and label
“cat”
Compute
loss
CNN
Transform image
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 13 17 Feb 2016
- Change the pixels without changing the label
What the computer sees
Train on transformed data
VERY widely used
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 14 17 Feb 2016
1. Horizontal flips
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 15 17 Feb 2016
2. Random crops/scales
Training: sample random crops / scales
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 16 17 Feb 2016
2. Random crops/scales
Training: sample random crops / scales
ResNet:
Pick random L in range [256, 480]
Resize training image, short side = L
Sample random 224 x 224 patch
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 17 17 Feb 2016
2. Random crops/scales
Training: sample random crops / scales
ResNet:
Pick random L in range [256, 480]
Resize training image, short side = L
Sample random 224 x 224 patch
Testing: average a fixed set of crops
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 18 17 Feb 2016
Data Augmentation
2. Random crops/scales
Training: sample random crops / scales
ResNet:
Pick random L in range [256, 480]
Resize training image, short side = L
Sample random 224 x 224 patch
Testing: average a fixed set of crops
ResNet:
Resize image at 5 scales: {224, 256, 384, 480, 640}
For each size, use 10 224 x 224 crops: 4 corners + center, + flips
|
|
|
3. Color jitter
Simple:
Randomly jitter contrast
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 20 17 Feb 2016
Data Augmentation 3. Color jitter
Simple:
Randomly jitter contrast
Complex:
Apply PCA to all [R, G, B] pixels in training set
Sample a “color offset” along principal component directions
Add offset to all pixels of a training image
(As seen in [Krizhevsky et al. 2012], ResNet, etc)
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 21 17 Feb 2016
4. Get creative!
Random mix/combinations of :
translation
rotation
stretching
shearing,
lens distortions, … (go crazy)
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 22 17 Feb 2016
A general theme:
Training: Add random noise
Testing: Marginalize over the noise
Dropout DropConnect
Data Augmentation
Batch normalization, Model ensembles
|
|
|
Simple to implement, use it
Especially useful for small datasets
Fits into framework of noise / marginalization
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 24 17 Feb 2016
“You need a lot of a data if you want to
train/use CNNs”
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 25 17 Feb 2016
“You need a lot want to
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 26 17 Feb 2016
Train on Imagenet
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 27 17 Feb 2016
2. Small dataset:
1. Train on feature extractor
Imagenet
Freeze these
Train this
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 28 17 Feb 2016
|
|
| 1. Train on |
|
| Imagenet |
Freeze these
Train this
Medium dataset: finetuning
more data = retrain more of the network (or all of it)
Freeze these
Train this
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 29 17 Feb 2016
|
|
| 1. Train on |
|
| Imagenet |
Freeze these
Train this
Medium dataset: finetuning
more data = retrain more of the network (or all of it)
Freeze these
tip: use only ~1/10th of the original learning rate in finetuning top layer, and ~1/100th on intermediate layers
Train this
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 30 17 Feb 2016
DeCAF: A Deep
Convolutional Activation
Feature for Generic Visual
Recognition
[Donahue*, Jia*, et al.,
2013]
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 31 17 Feb 2016
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Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 32 17 Feb 2016
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Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 33 17 Feb 2016
more generic
more specific
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Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 34 17 Feb 2016
(it’s the norm, not an exception)
Image Captioning: CNN + RNN
Object Detection
(Faster R-CNN)
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 35 17 Feb 2016
(it’s the norm, not an exception)
Image Captioning: CNN + RNN
CNN pretrained on ImageNet
Object Detection
(Faster R-CNN)
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 36 17 Feb 2016
Transfer learning with CNNs is pervasive…
(it’s the norm, not an exception)
Image Captioning: CNN + RNN
CNN pretrained on ImageNet
Object Detection
(Faster R-CNN)
Word vectors pretrained from word2vec
|
|
|
Have some dataset of interest but it has < ~1M images?
Find a very large dataset that has similar data, train a big ConvNet there.
Transfer learn to your dataset
Caffe ConvNet library has a “Model Zoo” of pretrained models:
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 38 17 Feb 2016
All About Convolutions
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 39 17 Feb 2016
All About Convolutions
Part I: How to stack them
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 40 17 Feb 2016
The power of small filters
Suppose we stack two 3x3 conv layers (stride 1)
Each neuron sees 3x3 region of previous activation map
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The power of small filters
Question: How big of a region in the input does a neuron on the second conv layer see?
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The power of small filters
Question: How big of a region in the input does a neuron on the second conv layer see?
Answer: 5 x 5
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Question: If we stack three 3x3 conv layers, how big of an input region does a neuron in the third layer see?
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 44 17 Feb 2016
Question: If we stack three 3x3 conv layers, how big of an input region does a neuron in the third layer see?
Answer: 7 x 7
X
X
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 45 17 Feb 2016
Question: If we stack three 3x3 conv layers, how big of an input region does a neuron in the third layer see?
Answer: 7 x 7
X
X
Three 3 x 3 conv
gives similar
representational
power as a single
7 x 7 convolution
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 46 17 Feb 2016
Suppose input is H x W x C and we use convolutions with C filters to preserve depth (stride 1, padding to preserve H, W)
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 47 17 Feb 2016
Suppose input is H x W x C and we use convolutions with C filters to preserve depth (stride 1, padding to preserve H, W)
one CONV with 7 x 7 filters three CONV with 3 x 3 filters
Number of weights: Number of weights:
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 48 17 Feb 2016
Suppose input is H x W x C and we use convolutions with C filters to preserve depth (stride 1, padding to preserve H, W)
one CONV with 7 x 7 filters three CONV with 3 x 3 filters
Number of weights: Number of weights:
= C x (7 x 7 x C) = 49 C2 = 3 x C x (3 x 3 x C) = 27 C2
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 49 17 Feb 2016
Suppose input is H x W x C and we use convolutions with C filters to preserve depth (stride 1, padding to preserve H, W)
one CONV with 7 x 7 filters three CONV with 3 x 3 filters
Number of weights: Number of weights:
= C x (7 x 7 x C) = 49 C2 = 3 x C x (3 x 3 x C) = 27 C2
Fewer parameters, more nonlinearity = GOOD
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 50 17 Feb 2016
Suppose input is H x W x C and we use convolutions with C filters to preserve depth (stride 1, padding to preserve H, W)
one CONV with 7 x 7 filters three CONV with 3 x 3 filters
Number of weights: Number of weights:
= C x (7 x 7 x C) = 49 C2 = 3 x C x (3 x 3 x C) = 27 C2
Number of multiply-adds: Number of multiply-adds:
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 51 17 Feb 2016
Suppose input is H x W x C and we use convolutions with C filters to preserve depth (stride 1, padding to preserve H, W)
one CONV with 7 x 7 filters
Number of weights:
= C x (7 x 7 x C) = 49 C2
Number of multiply-adds:
(H x W x C) x (7 x 7 x C)
49 HWC2
three CONV with 3 x 3 filters
Number of weights:
= 3 x C x (3 x 3 x C) = 27 C2
Number of multiply-adds:
3 x (H x W x C) x (3 x 3 x C)
27 HWC2
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 52 17 Feb 2016
Suppose input is H x W x C and we use convolutions with C filters to preserve depth (stride 1, padding to preserve H, W)
one CONV with 7 x 7 filters three CONV with 3 x 3 filters
Number of weights: Number of weights:
= C x (7 x 7 x C) = 49 C2 = 3 x C x (3 x 3 x C) = 27 C2
Number of multiply-adds: Number of multiply-adds:
= 49 HWC2 = 27 HWC2
Less compute, more nonlinearity = GOOD
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 53 17 Feb 2016
Why stop at 3 x 3 filters? Why not try 1 x 1?
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 54 17 Feb 2016
Why stop at 3 x 3 filters? Why not try 1 x 1?
| H x W x C |
|
|
|
||
Conv 1x1, C/2 filters
H x W x (C / 2)
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 55 17 Feb 2016
Why stop at 3 x 3 filters? Why not try 1 x 1?
H x W x C
Conv 1x1, C/2 filters
H x W x (C / 2)
Conv 3x3, C/2 filters
“bottleneck” 1 x 1 conv to reduce dimension
3 x 3 conv at reduced dimension
H x W x (C / 2)
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 56 17 Feb 2016
Why stop at 3 x 3 filters? Why not try 1 x 1?
H x W x C
Conv 1x1, C/2 filters
H x W x (C / 2)
Conv 3x3, C/2 filters
H x W x (C / 2)
Conv 1x1, C filters
H x W x C
“bottleneck” 1 x 1 conv to reduce dimension
3 x 3 conv at reduced dimension
Restore dimension with another 1 x 1 conv
[Seen in Lin et al, “Network in Network”, GoogLeNet, ResNet]
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 57 17 Feb 2016
Why stop at 3 x 3 filters? Why not try 1 x 1?
H x W x C
Conv 1x1, C/2 filters
H x W x (C / 2)
Conv 3x3, C/2 filters
H x W x (C / 2)
Conv 1x1, C filters
H x W x C
| Bottleneck |
|
|
| sandwich |
Conv 3x3, C filters
| Single |
|
|
| 3 x 3 conv |
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 58 17 Feb 2016
Why stop at 3 x 3 filters? Why not try 1 x 1?
H x W x C
More nonlinearity,
fewer params, less compute!
| Conv 1x1, C/2 filters |
|
|
|
|
|||
H x W x (C / 2)
| Conv 3x3, C/2 filters |
|
|
9 C2 |
|
|||
| Conv 1x1, C filters | parameters | ||||
H x W x C
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 59 17 Feb 2016
Still using 3 x 3 filters … can we break it up?
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 60 17 Feb 2016
Still using 3 x 3 filters … can we break it up?
H x W x C
Conv 1x3, C filters
H x W x C
Conv 3x1, C filters
H x W x C
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 61 17 Feb 2016
Still using 3 x 3 filters … can we break it up?
More nonlinearity,
fewer params, less compute!
|
|
|
|||
| Conv 1x3, C filters | |||||
|
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||||
| Conv 3x1, C filters | 9 C2 | ||||
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|
parameters |
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 62 17 Feb 2016
Latest version of GoogLeNet incorporates all these ideas
Szegedy et al, “Rethinking the Inception Architecture for Computer Vision”
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 63 17 Feb 2016
Replace large convolutions (5 x 5, 7 x 7) with stacks of 3 x 3 convolutions
1 x 1 “bottleneck” convolutions are very efficient
Can factor N x N convolutions into 1 x N and N x 1
All of the above give fewer parameters, less compute, more nonlinearity
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 64 17 Feb 2016
All About Convolutions
Part II: How to compute them
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 65 17 Feb 2016
There are highly optimized matrix multiplication routines for just about every platform
Can we turn convolution into matrix multiplication?
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 66 17 Feb 2016
Feature map: H x W x C Conv weights: D filters, each K x K x C
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 - 17 Feb 2016
Feature map: H x W x C Conv weights: D filters, each K x K x C
Reshape K x K x C
receptive field to column
with K2C elements
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 - 17 Feb 2016
Feature map: H x W x C Conv weights: D filters, each K x K x C
Repeat for all columns to get (K2C) x N matrix
(N receptive field locations)
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 - 17 Feb 2016
Feature map: H x W x C Conv weights: D filters, each K x K x C
Elements appearing in multiple
receptive fields are duplicated; this
uses a lot of memory
Repeat for all columns to get (K2C) x N matrix
(N receptive field locations)
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 - 17 Feb 2016
Feature map: H x W x C Conv weights: D filters, each K x K x C
| Reshape each filter to K2C row, | ||||||||||||||||||||||
|
||||||||||||||||||||||
| making D x (K2C) matrix |
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 - 17 Feb 2016
Feature map: H x W x C Conv weights: D filters, each K x K x C
|
||||||||||||||||||||||||||
| D x (K2C) matrix | D x N result; | |||||||||||||||||||||||||
|
reshape to output tensor |
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 - 17 Feb 2016
CONV forward in Caffe library
im2col
matrix multiply: call to cuBLAS
bias offset
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 73 17 Feb 2016
fast_layers.py from HW
im2col
matrix multiply:
call np.dot
(which calls BLAS)
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 74 17 Feb 2016
Convolution Theorem: The convolution of f and g is equal to the elementwise product of their Fourier Transforms:
Using the Fast Fourier Transform, we can compute the Discrete Fourier transform of an N-dimensional vector in O (N log N) time (also extends to 2D images)
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 75 17 Feb 2016
Compute FFT of weights: F(W)
Compute FFT of image: F(X)
Compute elementwise product: F(W) ○ F(X)
Compute inverse FFT: Y = F-1(F(W) ○ F(X))
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 76 17 Feb 2016
FFT convolutions get a big speedup for larger filters Not much speedup for 3x3 filters =(
Vasilache et al, Fast Convolutional Nets With fbfft: A GPU Performance Evaluation
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 77 17 Feb 2016
Naive matrix multiplication: Computing product of two N x N matrices takes O(N3) operations
Strassen’s Algorithm: Use clever arithmetic to reduce complexity to O(Nlog2(7)) ~ O(N2.81)
From Wikipedia
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 78 17 Feb 2016
Similar cleverness can be applied to convolutions
Lavin and Gray (2015) work out special cases for 3x3 convolutions:
Lavin and Gray, “Fast Algorithms for Convolutional Neural Networks”, 2015
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 79 17 Feb 2016
Huge speedups on VGG for small batches:
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 80 17 Feb 2016
im2col: Easy to implement, but big memory overhead
FFT: Big speedups for small kernels
“Fast Algorithms” seem promising, not widely used yet
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 81 17 Feb 2016
Implementation Details
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 82 17 Feb 2016
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|
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 84 17 Feb 2016
“central processing unit”
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 85 17 Feb 2016
“graphics processing unit”
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 86 17 Feb 2016
“graphics processing unit”
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 87 17 Feb 2016
VS
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 88 17 Feb 2016
VS
NVIDIA is much more
common for deep learning
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 89 17 Feb 2016
Jen-Hsun Huang
(Stanford EE Masters 1992)
GTC 2015:
Introduced new Titan X GPU by bragging about AlexNet benchmarks
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 90 17 Feb 2016
Few, fast cores (1 - 16)
Good at sequential processing
GPU
Many, slower cores (thousands)
Originally for graphics
Good at parallel computation
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 91 17 Feb 2016
CUDA (NVIDIA only)
Write C code that runs directly on the GPU
Higher-level APIs: cuBLAS, cuFFT, cuDNN, etc
OpenCL
Similar to CUDA, but runs on anything
Usually slower :(
Udacity: Intro to Parallel Programming https://www.udacity. com/course/cs344
For deep learning just use existing libraries
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 92 17 Feb 2016
at matrix multiplication:
GPU: NVIDA Tesla K40
with cuBLAS
CPU: Intel E5-2697 v2
12 core @ 2.7 Ghz
with MKL
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 93 17 Feb 2016
All comparisons are against a 12-core Intel E5-2679v2 CPU @ 2.4GHz running Caffe with Intel MKL 11.1.3.
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 94 17 Feb 2016
VGG: ~2-3 weeks training with 4 GPUs
ResNet 101: 2-3 weeks with 4 GPUs
NVIDIA Titan Blacks
~$1K each
ResNet reimplemented in Torch: http://torch.ch/blog/2016/02/04/resnets.html
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 95 17 Feb 2016
Alex Krizhevsky, “One weird trick for parallelizing convolutional neural networks”
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 96 17 Feb 2016
Data parallelism
[Large Scale Distributed Deep Networks, Jeff Dean et al., 2013]
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 97 17 Feb 2016
| Data parallelism |
|
|
[Large Scale Distributed Deep Networks, Jeff Dean et al., 2013]
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 98 17 Feb 2016
Abadi et al, “TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems”
Fei-Fei Li & Andrej Karpathy & Justin Johnson Lecture 11 99 17 Feb 2016
Bottlenecks
to be aware of
|
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10 |
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| 0 |
GPU - CPU communication is a bottleneck. =>
CPU data prefetch+augment thread running
while
GPU performs forward/backward pass
|
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10 |
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| 1 |
Moving parts lol
CPU - disk bottleneck
Hard disk is slow to read from
=> Pre-processed images
stored contiguously in files, read as raw byte stream from SSD disk
|
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10 |
|
| 2 |
GPU memory bottleneck
Titan X: 12 GB <- currently the max
GTX 980 Ti: 6 GB
e.g.
AlexNet: ~3GB needed with batch size 256
|
|
10 |
|
| 3 |
Floating Point Precision
|
|
10 |
|
| 4 |
Floating point precision
64 bit “double” precision is default in a lot of programming
32 bit “single” precision is typically used for CNNs for performance
|
|
10 |
|
| 5 |
Floating point precision
64 bit “double” precision is default in a lot of programming
32 bit “single” precision is typically used for CNNs for performance
Including cs231n homework!
|
|
10 |
|
| 6 |
Floating point precision
Prediction: 16 bit “half” precision will be the new standard
Already supported in cuDNN
Nervana fp16 kernels are the fastest right now
Hardware support in next-gen NVIDIA cards (Pascal)
Not yet supported in torch =(
Benchmarks on Titan X, from https://github.
com/soumith/convnet-benchmarks
|
|
10 |
|
| 7 |
Floating point precision
How low can we go?
Gupta et al, 2015:
Train with 16-bit fixed point with stochastic rounding
CNNs on MNIST
Gupta et al, “Deep Learning with Limited Numerical Precision”, ICML 2015
|
|
10 |
|
| 8 |
Floating point precision
How low can we go?
Courbariaux et al, 2015:
Train with 10-bit activations, 12-bit parameter updates
| Courbariaux et al, “Training Deep Neural Networks with Low Precision Multiplications”, ICLR 2015 | ||||
|
|
10 |
|
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| 9 |
Floating point precision
How low can we go?
Courbariaux and Bengio, February 9 2016:
Train with 1-bit activations and weights!
All activations and weights are +1 or -1
Fast multiplication with bitwise XNOR
(Gradients use higher precision)
Courbariaux et al, “BinaryNet: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1”, arXiv 2016
|
|
11 |
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| 0 |
Implementation details: Recap
GPUs much faster than CPUs
Distributed training is sometimes used
Not needed for small problems
Be aware of bottlenecks: CPU / GPU, CPU / disk
Low precison makes things faster and still works
32 bit is standard now, 16 bit soon
In the future: binary nets?
|
|
11 |
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| 1 |
Recap
Data augmentation: artificially expand your data
Transfer learning: CNNs without huge data
All about convolutions
Implementation details
|
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11 |
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| 2 |


tictail
Businessmodel of Tictail
Customer Segments
Tictail serves two principal customer segments: independent and established retailers and general consumers. The platform is targeted primarily at small-scale, independent retail operators, such as designers, artists and small businesses, particularly those that do not have the technical expertise to set up their own online stores. Tictail currently hosts online stores operated by an estimated 125,000 independent brands. This includes brands such as Mistervain, Marcel Bedro, Brixtol and Nordic District.
Tictail’s largest consumer market is its native Sweden, which accounts for an estimated 27% of the Company’s overall business. The US and the UK are its next largest markets, accounting for 23% and 4% respectively. The majority of Tictail’s remaining business is accounted for by Western European countries including Germany France and Portugal, as well as Singapore.
Value Propositions
Tictail’s greatest value to retailers is that is enables them to showcase their products to a large, captive online audience with no need for any technical expertise or coding experience. The platform is simple to use and set up with all sales, billing and maintenance functionality provided automatically by the Company.
The platform is also free to use, and can be fully customised using a broad range of free and paid-for third-party apps. The Tictail platform’s social and messaging tools also help vendors to provide more personalised customer service, allowing direct contact with customers.
For consumers, Tictail’s greatest value is that it provides access to a range of products and designs that are not easily available elsewhere, either online or in-store, via a platform that is easy to navigate and search. The platform is also accessible via desktop and mobile browsers or through mobile apps, enabling customers to browse and make purchases from anywhere.
Channels
The Tictail platform can be accessed via its mobile and desktop websites at www.tictail.com, where users can browse and shop online or make changes to their own online stores. The Company has also launched mobile apps for iOS and Android operating systems, through which users can access Tictail’s full functionality.
Customer Relationships
The Tictail platform is available to both retailers and consumers on a self-service basis. Retailers are able to set up their own online store via the Company’s website, guided through the process automatically with no need for interaction with Tictail representatives. Retailers are paid for their sales automatically on a monthly basis. Consumers can access the Tictail store online, and can browse products from various designers by using search terms and selecting categories. Additionally, the Tictail Talk messaging service allows customers and retailers to interact directly, without using Tictail as an intermediary.
While the Tictail platform is almost entirely self-service, the Company does provide support and technical assistance through its Tips and Tricks section and its Help Centre, which hosts user guides and FAQs. Customers can also contact the Company directly through an online contact form or via its social media accounts with Twitter, Facebook Instagram and Pinterest.
Key Activities
Tictail is a technology company that develops and maintains an online platform through which independent retailers and designers can set up personalised online stores for their products. Key to the platform is the Tictail feed, which guides users through the process of setting up and running their own online store, including the incorporation of Terms and conditions and returns policies, as well as the provision of marketing and customer service advice.
Users therefore do not require any coding or web design experience to create an effective and attractive store. Tictail also collaborates with a number of software and app developers to create a range of native apps to increase the functionality of its platform.
Key Partners
Tictail’s principal partners are software and app developers that collaborate with the Company to provide greater functionality to the Tictail platform. Among the developers that have created native apps for Tictail are A3J, Sendicate, Postingly, Stormfors, Invetea and App Delegate.
Partners receive 70% of the revenue generated by their apps each month and are provided support and technical assistance from the Tictail team.
Key Resources
Tictail’s key resources are its software platform, its IT infrastructure, its personnel and its community of retailers. While the Company’s technology is an important resource, searches of records held by the Swedish Patent Database and the US Patent and Trademark Office identified no patent applications filed in the Company’s name. In addition to its online stores,
Tictail also operates one physical store in the New York, which opened in 2016.
Cost Structure
Tictail incurs costs in relation to the development of its software platform, the maintenance of its IT infrastructure and the retention of its personnel. The Company employs a team of 59 engineers, data scientists, and sales and support staff working across two offices in Stockholm and New York, accruing costs relating to salaries, benefits, rent and utilities.
Revenue Streams
Tictail has two principal revenue streams: transaction costs for purchases driven through the Tictail platform and paid add-ons to enhance merchant stores. While Tictail does not charge its merchants sign-up, monthly subscription, or product listing fees, the Company does take a 30% cut of all revenue generated through user stores. This represents Tictail’s principal revenue stream, accounting for the majority of the Company’s annual revenue.
The Company also generates revenue through the sale of premium add-ons, or apps, that increase the functionality of users’ stores. While there are a number of free apps available, many of the platforms most useful or popular apps are only available as paid-for offerings. These apps can cost as much as $20 per month to use.


cz.dhl.io
Interface CoSource
- All Known Implementing Classes:
- Ftp, LocalSource
- public interface CoSource
Defines interface of file system source.
- Version:
- 0.72 08/10/2003
- Author:
- Bea Petrovicova
Available from sourceforge http://sourceforge.net/projects/jvftp under the terms of GNU Lesser General Public License (LGPL).


You can manage your Apple ID payment information in Settings on your iPhone, iPad, or iPod touch; on your Mac or PC; or in the Apple Music app on your Android device.
Your Apple ID is the personal account that you use to access Apple services like the App Store, iTunes Store, iCloud, iMessage, the Apple Online Store, FaceTime, and more. When you change your payment method or billing address, your information also updates everywhere that you use your Apple ID.
If you change your payment method, make sure that your account information matches the information on file with your financial institution. Learn about the different payment methods that you can use.
When you set up Family Sharing and turn on purchase sharing, one adult in the family—the family organizer—controls the shared payment method for everyone in the family group. Learn more about family purchases and payments.
Store availability and features might vary by country or region. Learn more about what's available in your country or region.
On your iPhone, iPad, or iPod touch
By using the Website, You warrant that You have read and reviewed this Agreement and that You agree to be bound by it. Your access to and use of the Service is conditioned upon your acceptance of and compliance with this Agreement. This Agreement apply to all visitors, users and others who wish to access or use the Service.
If You do not agree to be bound by this Agreement, please leave the Website immediately. The Company only agrees to provide use of this Website and Services to You if You assent to this Agreement.
- Go to Settings > [your name] > iTunes & App Store.
- Tap your Apple ID, then tap View Apple ID. You might be asked to sign in.
- Tap Payment Information, then change or remove your information. To remove the payment method, select None. Get help if you don't see None or can't select it. Learn more about what payment methods are available in your country or region.
- Go to Settings > [your name] > iTunes & App Store. Tap your Apple ID, then tap View Apple ID. You might be asked to sign in. Tap Payment Information, then change or remove your information. To remove the payment method, select None. Get help if you don't see None or can't select it. Learn more about what payment methods are available in your country or region.


Chopping fire wood, the Huckle Berry Finn style.
††††††††††††††† In Victor we used fire wood and coal for the main heat in the house and for the cooking.† We did have an oil burning stove in the front room but oil was more expensive so the kitchen range was the primary heat source.† The cooking stove also had a water jacket in it which heated the potable water.† As you can imagine, the kitchen range had to be used almost every day of the year.† During the cold months, which in Idaho are most of the time, Dad would be the first one up and start a fire in the kitchen stove to warm the house.† Before we went to bed at night someone, again it was usually Dad, would stoke the stove so the house would remain warm as long as possible, but the fire still went out before it was time to get up.† During the winter months it was not unusual for Dad to get up during the night to rebuild the fire so the water in the house wouldnít freeze.† From the time I can really remember, it was Royís and my job to keep firewood, kindling and coal supplied in the house.† I guess that Rich and Bob had their turns but I really donít remember Rich at home.† My first remembrance of him was that he was in the army.† After Bob graduated from High School he joined the Air force, so the job fell to Roy and I.†† Each summer Dad would take us boys in the pickup to the mountains and we would bring back several loads of logs.† Dad would then have a man bring a power saw to the house and cut the trees into logs about 12 to 14 inches long.† I remember that Roy and I had the job of stacking the cut logs into a shed to keep the wood dry.† Half the shed was for wood and the other half was for coal.† Most of the time, Roy or I would chop the kindling on Saturdays so we would have enough kindling for the coming week.† As Roy and I seldom got along with each other, Mom would have Roy chop wood for one week and then the next week it would be my turn.† Chopping a weekís worth of wood could take three to four hours, so we usually did that on Saturday.† Besides that, every evening we had to carry out the ashes and refill the coal bucket, plus carry in the next dayís supply of wood.†  During the winter, night come early so you had to get started as soon as you got home from school.† I remember that with chores during the week and chopping wood every other Saturday, it didnít seem to leave you with much play time.
††††††††††††††† There was a single man named Ceiler Westover and his sister that lived just west of town.  His sister was just crazy and I donít remember any of the youth in town, that wasnít totally afraid to go to their house because of her.† I remember going with Barbara and Roy selling paper Poppies to raise money for the Veterans.† I donít remember how it was organized or who the money was turned into.† I just remember that Barbara, Roy and I were out going from door to door selling Poppies.† Barbara had her bike and Roy had our bike.† That meant that I had to ride on the back fender with one of them.† When we came to Westoverís house, Roy and Barbara decided that it was my turn to go to the house.† I didnít want to but they had decided.† I remember that it was a warm sunny day and as I started up to the front door, I saw other adults in the front yard.† I continued towards the front porch but about half way there, someone screamed.† I didnít know who it was but I throw the poppies into the air and ran.† As I reached the gate I saw Barbara and Roy riding the bikes just as hard as they could go down the road.† They werenít waiting for me so I just ran as hard as I could.
††††††††††††††† I remember that Ceiler was a little taller than my father, but he was very strong.† Dad often let Ceiler work for him doing odd jobs at the slaughter house.† I remember Dad giving him some meat for his help, but other times I think Ceiler came to the slaughter house just to have something to do.† He liked being with people and especially boys.† Grandma seemed especially concerned to have him be around us and at that age I didnít quite understand why, because Ceiler was so strong, he could chop my share of wood in ľ the time it would take me.† I donít remember Ceiler helping Roy, but he often came over on my Saturday.† He would invite me to go to the drug store for a pop or some candy.† I would tell him that I couldnít do anything until I got my wood chopped.† To this he always asked if he could chop my wood for me.† I would tell him no, that it was my job.† Then he would beg me to let him help.† After he begged long enough, I would reluctantly give in, only if he would buy me a milk shake or a candy bar.


Magister Papiku:
Is there something wrong? Please do not delay!
Take High Priest Orven's letter to the commander at
Keucereus Alliance Base
,
Admiral Keucereus
himself.


Attacks on police increase
by Dominic RobertsonAttacks on emergency workers in the region have increased by seven percent in just three months, new figures show.
West Mercia's Police and Crime Commissioner, John Campion, is now calling for more to be done to tackle assaults against emergency workers.
West Mercia Police said they have seen a seven per cent increase in incidents where the victim was an officer or member of staff.
In total 180 incidents, of which 53 involved injury, were reported in just three months.
The force said that 17 per cent of the victims were repeat victims, with five frontline officers, being a victim four times or more, in just a sixth month period.
New legislation was brought in last year, giving the courts the power to impose stronger sentences, and in the year since 259 charges or summons have been brought.
Commissioner John Campion said: “Through my Behind the Badge campaign, we are seeing progress; sentences are becoming tougher for those who assault emergency workers or animals and my investments in body worn video acts as a deterrent, but there is so much more we, as a society as a whole, can do.
"We are seeing around two incidents every day, and this is just not acceptable. We need to look at the bigger picture, where alcohol and drugs play a part, and make rehabilitation programmes effective. By tackling these underlying problems, we can do more for our communities, and for our hard working emergency workers.”


--- layout: default title: ComSSA has moved date: 2014-02-05 22:30:00 +0800 ---
Unfortunately, after over a decade, we have lost access to our clubroom.
Until further notice, we have been relocated to the common area of the Engineering Pavilion, which is the ground floor of building 215. In the same building is our office, which is shared with IEEE in room 215.104.
Our pool table has also moved with us, and you can find it in the entrance to the Pavilion, with games for $1 each. See you there!


"Cora, would you like some chicken?" Cora goes "buk-buk-buk" making pecking motions with her hand like the chickens who startled her before.
9/15/2009, 9:27:30 PM
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"Cora, would you like some chicken?" Cora goes "buk-buk-buk" making pecking motions with her hand like the chickens who startled her before.
9/15/2009, 9:27:30 PM
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I’ve worked on a variety of projects that reflect my interests in data science, business and management, and mechanical engineering.
Portfolios of venture-based companies are inherently fraught with risk. To demonstrate a potential strategy for managing a portfolio of high-risk biotech ventures, I created a Monte Carlo simulation of a hypothetical portfolio. My simulation accepts basic assumptions about the expected life-span of ventures, their chances of success, and their expected costs. Based on a desired number of successful ventures over, say, 15 years, I can use the simulation to estimate:
My simulation could be used by portfolio managers when creating their strategies, communicate their business cases, and setting expectations around the outputs of their portfolios.
Read more about my work on simulating a venture portfolio
Protectable intellectual property is a crucial piece of any corporate strategy for creating a long-term differentiated position in a market. Patent valuation has arisen as a critical component of legal cases, startup valuations, and measuring R&D productivity. There are many approaches to patent valuation, but a common method examines the number of patents citing a given patent (called “forward cites”). A patent with many forward cites is generally more valuable since it was likely the genesis of continued innovation. One can therefore measure a patent’s value relative to similar patents by comparing its number of forward cites with other patents in the same patent class.
I created software that uses the USPTO website to find the find the information needed to value a patent. For a given class of patents, I scrape the key information for each patent (i.e. patent number, title, abstract, assignee, and file date) as well as all of the forward cites for that class. The data generated can then be used to compare patent values.
Read more about my work on valuing patents
The BRFSS is the largest health survey in the world. It is conducted by the CDC, and there are over 400,000 interviewees every year who answer hundreds of questions. Many important findings about population health, trends in behaviors, and demographic differences in health and disease outcomes originate in the data provided through the BRFSS. A wealth of interesting statistical and correlative findings are buried in the data, but unfortunately, the BRFSS can be difficult to work with due to archaic data storage techniques.
I have cleaned up all of the available BRFSS data sets (1984-2014) to make them easy to work with. I have also begun using various machine learning algorithms and statistical methods with the BRFSS results. These demonstrate the value of the data, as well as the difficulties inherent in health data and policy.
Read more about my work on the BRFSS
Accessing world-class expertise is critical for corporate R&D projects that are dependent on cutting edge science, but bringing top scientists in-house is often not an option. To solve the expertise problem, many companies use scientific advisory boards (SABs), where they contract with academics to provide advice. Identifying potential members can be difficult since most well-known academics are extremely busy. Many well-qualified, although less well-known or more junior, scientists can provide critical knowledge. How can we quickly identify potential SAB members?
I developed a method that relies on scientific publication records. I wrote a script that takes a full citation list for a given topic (e.g. prostate cancer) and identifies SAB candidates based on total authorship, first authorship, and last authorship. While quick and dirty, my method makes it easy to rapidly identify SAB candidates from a field of thousands, allowing the team to immediately begin making connections.
Read more about my work selecting scientific advisory board candidates
Translating new and exciting science into products and services that the market values is a key challenge in R&D-driven industries. Managing high-risk research programs and successfully commercializing ideas is difficult, but very worthwhile. Unfortunately, it is something that many companies (large and small) struggle to get right. Billions of dollars in R&D funds are squandered every year through mis-management. Understanding how to effectively run a R&D program and then commercialize the resulting products is a rare and valuable skill.
At Innosight, I have focused on advising and managing high-risk corporate R&D programs. I have built deep expertise in designing organizations and plans, communicating strategies to executives, and doing the legwork to get programs off the ground. On multiple projects ranging across a variety of industries, I have built a working knowledge of the underlying scientific and technological principles, engaged with scientists and engineers to test ideas, and created targeted strategies to build and sell products that people need.
Read more about my work in R&D management at Innosight
Unmanned aerial drones have revolutionized warfare in the last decade. In many ways, they are a classic case of disruptive innovation, where small, inexpensive unmanned drones have replaced fighters and helicopters in carrying out dangerous attacks, fundamentally changing the way the Air Force operates. A similar phenomenon is occurring in the Navy. Small unmanned underwater vehicles (UUVs) are able to efficiently accomplish missions that would have previously required large, expensive shipborne operations. An important challenge in developing underwater vehicles is energy storage. MIT is developing technologies that would expand current underwater operation limits by 10x.
My master’s thesis in mechanical engineering at MIT examined the financial and strategic implications of UUVs for the Navy. I found, for example, that the Navy could reduce costs by 95% by using UUVs for certain mission types. By not investing more in unmanned systems, the Navy is exposing itself to considerable financial and tactical risk.
Read more about my work on UUV strategy and disruptive innovation
As I have previously mentioned, underwater robots are becoming increasingly important to naval and maritime science operations. Robots must be robust and durable in order to survive in the harsh ocean environment, and many applications also require agility and speed. In the past, biomimetic underwater robots (e.g. robotic fish or stingrays) relied on segmented body designs, where each segment is individually actuated, to bestow agility and speed on their designs. Unfortunately, these segmented designs were not robust and suffer from high failure rates.
At MIT, I was part of a team that designed a bio-mimetic robotic stingray that solved these durability issues. It was constructed of a soft polymer body with only two actuators. I designed and demonstrated the control and actuation system to enable forward and backward motion and turning using only the two actuators. I also built and tested a robotic salamander that could both swim and walk.
Read more about my work on bio-mimetic underwater robots
Hands-on education is a critical part of any STEM program. Studies are increasingly showing that a project-based hands-on program is critical to helping students maintaining interest and succeed in difficult math-based majors. Unfortunately, due to budget and staffing limits, it can be difficult to provide a good experiential experience for all students, especially in large introductory classes.
For my senior thesis in mechanical engineering at MIT, I developed a series of mechatronics and controls experiments for undergraduate classes. Dynamics and controls is a passion of mine, and I wanted to create tools that other students could use to discover the field. My experiments, based on National Instruments DACs and Matlab Simulink, were small and portable, allowing students to take them home and tinker. That sort of hands-on tinkering is where true engineering learning happens.
Read more about my work on portable controls experiments
I believe MIT’s project-based learning paradigm is one of the key reasons that it is so successful at training scientists and engineers. As a student, I had many opportunities to get my hands dirty (literally) in interesting engineering problems, both inside and outside of class. Not only were the projects solving interesting, real-world problems, but professors are willing to give students an enormous amount of autonomy and responsibility. It’s fairly intoxicating.
Here are descriptions of some of my favorite projects at MIT.
© 2016. All rights reserved. "Then you will know the data, and the data will set you free." winstonlarson@gmail.com


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Engineering Management Space
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The cotangentcant is a formula that is equal to cosϴ/sinϴ or x/y. The secant can be used to find different values on the unit circle.
The cosecant is a formula that is equal to 1/sinϴ or 1/y. The secant can be used to find different values on the unit circle.
The secant is a formula that is equal to 1/cosϴ or 1/x. The secant can be used to find different values on the unit circle.
The sine is the formula that is equal to (opposite side length) / (hypotonuse lenght)
The cosine is the formula that is equal to (adjecent side length) / (hypotonuse length)
The tangent is the formula that is equal to (opposite side length) / (adjecent side length)
The unit circle is godawfull and should be burned but we need for trig, enjoy.


| DOSE: |
5.0 mg |
insufflated |
2C-T-2 |
(powder / crystals) |
I offer this brief encounter for educational purposes:
It was within the split-second it took for the 5mg of powder to leave the table and enter my nose that I realized my error. This substance was not to be snorted. The burn was immediate and terribly uncomfortable. It wasn’t the taste or texture, the problem lay in the pain emanating from the surface of my nasal cavity. I called RP off in time, I knew immediately that it certainly wasn’t worth it, that I would not be attempting this method again. Psychoactivity and symptoms were very similar to this substance smoked, but less intense and more brief. Visual distortions began only a few minutes later, followed by mild nausea and fatigue. A series of unproductive states of mind and body for 20-30 minutes, with a rapid decline shortly after.
The general feeling was consistent with oral doses of the same substance, somehow encapsulating the more negative side effects of this phenethylamine. No positive effect during this experience outweighed the negative, and I have little reason to believe a different dose would have resulted in a more fruitful half of an hour. I do believe, however, that a greater dose may have resulted in some degree of bodily peril, based solely on the toxic nature of the evening recounted, and therefore do not recommend this method.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Tools for the Community, provided by the Community
Some quick example text to build on the card title and make up the bulk of the card's content.
Some quick example text to build on the card title and make up the bulk of the card's content.
Some quick example text to build on the card title and make up the bulk of the card's content.
Some quick example text to build on the card title and make up the bulk of the card's content.


fun getSubConfig(path: String): JSONConfig?
Returns a new config with its root object set to the object retrieved from the specified path
path
- The path to get the new config from Cannot be null
IllegalStateException
- if the element at the path is not a JSON object.
Return
The JSONConfig at the path. Returns null if there is not an element at the specified path.
Since
2.3


With nearly six years of experience featuring many varieties of programming languages, I am able to get your job done quick and efficiently. You are able to view more examples of my projects and skills on my GitHub Profile.
All Payments made through our Client Portal
are Secured via SSL Encryption and Stripe
Contact me either Through the Contact Form on the
Client Portal or Reach out to me on Discord!
All Services provided by Aevoa Studios come
with Lifetime Support through our Ticket System
All Projects shall be completed within the Timeframe
agreed at the Start of the Job
Throughout the whole process of working together you will be Assisted through the whole process to make working together as easy as possible!
That's a great question. I'm a guy who does things, mainly with computers, based out in Germany. I started programming in 2016, starting with the Lua scripting language for a Minecraft mod, "ComputerCraft". From there, I moved into Web Development, learning the basics about HTML, CSS and JS.
From there, I've worked in multiple fields; with my main outlet being a Freelance Developer working on Jobs in for the Game Garry's Mod and a Content Creator at GModStore, with volleys into other fields; including Webdesign and Video Editing.
Patient and good at listening! Great communiciation and made what they were asked to.
100% would recommend. Developed me a highly complex script with quality within a couple of hours. Not only that but also really fair pricing
Really nice and helpful developer was easy to contact and replied fast when needed. Had a really positive experience working with Florian.


GUI.Refresh
Syntax
GUI.Refresh
Description
This routine redraws all the widgets in the currently-selected window. This is used when some form of drawing may have overwritten the widgets in a window.
It is often used when there is some possibility that the widgets may have been drawn over. For example, a program that places buttons on top of a background image should call GUI.Refresh when the image is changed.
Details
GUI.Refresh is used by the GUI Library to redraw all the widgets when the background colour of a window has changed.
Status
Exported qualified.
This means that you can only call the procedures by calling GUI.Refresh, not by calling Refresh.


Deployment Package or Script
The next step in deployment process after creating the response file is creating and running the deployment script.
To deploy DB2 products to another computer, you must create a package using a software deployment tool
or create a script that you can run on the computer. This section describes how to create a package
using SMS
on Windows and how to create a deployment script on Linux and UNIX platforms.
Creating Deployment Package or Script
- Packaging IBM Data Server products using SMS
To package IBM data server products you must have SMS 2003 installed and configured on your network
for both your SMS 2003 server and your SMS 2003 client workstations. For more details on how to configure
check this link .
- Creating a deployment script
The deployment script can be written as a shell script or in Perl,
Java, C or batch files. These script act as a wrapper to handle aspects of DB2
installation and configuration that the DB2 installation procedure does not handle.
You run the script on the target computer as part of the deployment process. Click here to download sample
deployment script that comes with DB2 Deployment Guide . For DB2 Deployment Guide check the reference part in the last page.
- Deploying a response file installation
Deploying a response file installation is the easiest of all installation as the product definition, the selection of components,
and the setting up of instances are almost completely encapsulated by the response file.
Running Deployment Script
Previous sections provided the steps to prepare for deployment.
You can perform these steps once, incurring the upfront preparation costs, and then deploy to hundreds or
thousands of computers. You can add extra computers later with almost no additional preparation.
There are two basic styles of deployment: Push and Pull.
- Push:-
In a push deployment, a centralized location initiates the contact with each computer. This is usually suitable for cases
where a centralized IT department wants to set up many computers without any user action.
- Pull:-
In a pull deployment, each location in which a DB2 product is being installed initiates its own contact
with the server to start the installation. Often, this operation is done using a link on a Web page or
in an e-mail. This style is suitable for cases where very few computers require a DB2 product
installation or no automated service is available to initiate a push installation.
- Distributing IBM Data Server products using SMS:-
With SMS, you can set up the installation of DB2 or IBM Data Server products from a central location,
and install it in an efficient and reliable manner across a computer network. For more details
check this link to see how to distribute Data Server using SMS.


--- layout: page title: "About" description: "This is what I do." header-img: "img/about-bg.jpg" ---
Hello There !
I am a passionately curious about everything. Simple person who love to research about new technology(currently focusing on SDN-NFV),read, EAT(I have a secret, I am always Hungry), traveling, listen to music.
I only believe in one thing: 'Never Give up on Something and Someone. Miracle do happens Overnight !!'
Click here to view my resume which include my professional work experience.


--- layout: post authors: ["Mike Jackson"] title: Feedback from the EGI Forum date: 2013-04-16 time: "09:00:00" tags: ["EGI Forum"] ---
At last week's EGI Forum in Manchester, we ran a day of bootcamp "highlights". These were 1.5 hour taster sessions drawn from bootcamp sessions. Our sessions covered,
We had 15-20 attendees for each session, mostly from a computer science or software development background, and in systems support or technical roles. The interests of the attendees were on the specific technologies covered in each session (Git, Python and nosetests, MongoDB) rather than the concepts underlying these, as most attendees were already familiar with these.
The attendees viewed the sessions as useful. Their comments included,
| Good | Bad |
|---|---|
| Keep up the good work | Depending on the audience you could merge in more git commands |
| The content was useful | The speed of the hands on part was a bit slow (for someone knowing unix and having used other version control systems) |
| [Know] what a NoSQL database is | Would have appreciated more inputs as to: when should I choose MongoDB or any other NoSQL db, as compared to a relational db: typical use cases; configuration of MongoDB; performances expected: should I declare some indexes, how, why? How to set up a ""map and reduce"" configuration of MongoDB? |
| Hands-on very clear | |
| Useful to start up very quickly to use MongoDB in python |
The attendees were given SSH logins to a virtual machine with the required tools pre-installed. As we were co-located with a conference, we wanted to allow attendees to drop-in without any advance preparation. Use of a VM avoided any installation woes, though, for our third session, we had to pair up the attendees as the VM began to deny SSH connections as it interpreted too many multiple SSH logins as a possible hack attack (a component called 'fail2ban' was the culprit).
I found that using 'nano', rather than my preferred editor 'emacs', acted as a good brake so I was less inclined to commit the instructor sin of making things happen by "magic".
While the sessions were very tightly-constrained time-wise - in effect only about 1h10 for "live coding" - I felt it was a good way to convey one or two key concepts and messages and to give attendees the flavour of what to expect if they attend a bootcamp - sort of like a movie trailer!


My Research about Sushi
A sushi roll is a food of Asian origin that features rice and seafood wrapped in seaweed (nori). Until the end of the twentieth century, sushi rolls were only available in restaurants. Today, a number of companies prepare them for retail sale in grocery stores. Although a few of these companies use mechanical sushi makers—called robots—to shape the rice and add condiments, the finest quality sushi rolls are still handmade. Although variety of seafood is used in sushi rolls, including shrimp (ebi), crab (kani), and salmon (sake), tuna (maguro) is by far the most popular.
How to order?
Even if you're an experienced sushi eater, ordering can be a very intimidating process. some tips that'll help novices look like they know what they're doing when they sit down at the bar.What are the ways that grocery store sushi is different from serious sushi?


Live Demo
All of WhatSock.com is powered by the AccDC API to maximize speed and efficiency.
To see how this is done, view the initial setup script at js/ready.js, which declares all of the tab links on the left as top-level AccDC Objects.
View the Live Demo setup file at js/demo.js, to see how the below demo is configured as child AccDC Objects, with the Live Demo tab specified as the top-level parent AccDC Object.
Drag & Drop
Standard images converted into draggable AccDC Objects that are automatically accessible to screen reader and keyboard only users with customizable drop zones.
Click the "Morph" button to convert all of the planet images into draggable AccDC Objects. All of the draggable planet AccDC Objects are keyboard accessible when morphed. (The sun is also draggable, though it is not configured to be keyboard accessible since there is no drop zone specified.)
Directions for keyboard access:
- When the Morph button has focus after being activated, press tab.
- Press Enter on the planet links to toggle dragging.
- Keep tabbing until focus is set on a related drop link, and press Enter to start dropping.
- Press shift+tab to reverse.
(Starscape courtesy of the NASA Image Gallery; all rights reserved)


Description:
Conditional relative branch. Tests the Zero flag (Z) and branches relatively to PC if Z is cleared. If the instruction is executed immediately after any of the instructions CP, CPI, SUB or SUBI, the branch will occur if and only if the unsigned or signed binary number represented in Rd was not equal to the unsigned or signed binary number represented in Rr. This instruction branches relatively to PC in either direction (PC - 63 ≤ destination ≤ PC + 64). The parameter k is the offset from PC and is represented in two's complement form. (Equivalent to instruction BRBC 1,k).
Operation:
If Rd ≠ Rr (Z = 0) then PC ← PC + k + 1, else PC ← PC + 1
Syntax: Operands: Program Counter:
BRNE k -64 ≤ k ≤ +63 PC ← PC + k + 1
PC ← PC + 1, if condition is false
16-bit Opcode:
|
1111 |
01kk |
kkkk |
k001 |
Status Register (SREG) and Boolean Formula:
|
I |
T |
H |
S |
V |
N |
Z |
C |
|---|---|---|---|---|---|---|---|
|
- |
- |
- |
- |
- |
- |
- |
- |
Example:
eor r27,r27 ; Clear r27 loop:inc r27 ; Increase r27 ... cpir27,5 ; Compare r27 to 5 brneloop ; Branch if r27⇔5 nop ; Loop exit (do nothing)
Words: 1 (2 bytes)
Cycles: 1 if condition is false
2 if condition is true


[gecode-users] How to stop a branching?
Martin Mann
mmann at informatik.uni-freiburg.de
Fri May 29 15:01:43 CEST 2009
mhhh.. what a pitty.. but yes, there might be problems with recomputation..
Some helper variable e.g. posted within the incremental posting might
help but I doubt that anything gets faster by that.
Nevertheless, thanks a lot for the fast reply!
Martin
Christian Schulte schrieb:
> Right now, you can't stop branching. While just having an operation to do
> that is easy, but I do not see yet how one would get that to work with
> recomputation.
>
> Did you see that you can actually post branching incrementally, maybe that
> could help. Check "Executing code between branching" in MwG. You could
> control whether a branching is posted or not by an additional variable. Just
> an idea, don't know whether that would help.
>
> Christian
>
>
> -----Original Message-----
> From: users-bounces at gecode.org [mailto:users-bounces at gecode.org] On Behalf
> Of Martin Mann
> Sent: Friday, May 29, 2009 2:04 PM
> To: gecode user list
> Subject: [gecode-users] How to stop a branching?
>
> Hi,
>
> I would like to know, if it is possible to stop a branching (when
> multiple ones are present). Thus, to ignore all remaining branches for
> this specific one.
>
> Maybe an example to make my question clear.
>
> I have two sets of variables X_1, X_2 linked via several constraints.
> Within my Space I post two brachning B_1(X_1) and B_2(X_2) such that
> first all variables of X_1 are assigned before B_2 is considered.
>
> My final goal is to enumerate solutions with different X_1 assignments!
>
> My current solution (was implemented for Gecode 1.3.* and I am going to
> reimplement in 3.*) is to formulate a COP instead of a CSP and to
> implement the *constrain* function and to post a constraint that ensures
> that the next solution is at least in one X_1 assignment different from
> the current solution.
>
> Thus, I get a new constraint per solution ... and I dont like that! ;)
>
> But when looking at the problem, it would be sufficient to stop the
> branching on X_2! I dont need to post new constraints but to cancel the
> remaining branching of B_2 on X_2. This will lead to a backtracking in
> B_1 and therefore ensures that the next solution differs in the X_1
> assignment in at least one solution...
>
> This seems to be much more efficient to me. Btw. I would end up with a
> CSP instead of this strange COP hack.
>
> So my question: Is it possible to stop the remaining branching on B_2
> out of the (Gecode 3.*) box? Or do I have to implement/subclass my own
> branching?
>
> Thanks for your help,
>
> Martin
>
>
More information about the gecode-users
mailing list


| [ Team LiB ] |
1.5 Python ResourcesThe richest of all Python resources is the Internet. The starting point is Python's site, http://www.python.org, which is full of interesting links that you will want to explore. And http://www.jython.org is a must if you have any interest in Jython. 1.5.1 DocumentationPython and Jython come with good documentation. The manuals are available in many formats, suitable for viewing, searching, and printing. You can browse the manuals on the Web at http://www.python.org/doc/current/. You can find links to the various formats you can download at http://www.python.org/doc/current/download.html, and http://www.python.org/doc/ has links to a large variety of documents. For Jython, http://www.jython.org/docs/ has links to Jython-specific documents as well as general Python ones. The Python FAQ (Frequently Asked Questions) is at http://www.python.org/doc/FAQ.html, and the Jython-specific FAQ is at http://www.jython.org/cgi-bin/faqw.py?req=index. Most Python documentation (including this book) assumes some software development knowledge. However, Python is quite suitable for first-time programmers, so there are exceptions to this rule. A few good introductory online texts are:
1.5.2 Newsgroups and Mailing ListsThe URL http://www.python.org/psa/MailingLists.html has links to Python-related mailing lists and newsgroups. Always use plain-text format, not HTML, in all messages to mailing lists and newsgroups. The Usenet newsgroup for Python discussions is comp.lang.python. The newsgroup is also available as a mailing list. To subscribe, send a message whose body is the word subscribe to<EMAIL_ADDRESS>Python-related announcements are posted to comp.lang.python.announce. To subscribe to its mailing-list equivalent, send a message whose body is the word subscribe to<EMAIL_ADDRESS>To subscribe to Jython's mailing list, visit http://lists.sf.net/lists/listinfo/jython-users. To ask for individual help with Python, email your question to<EMAIL_ADDRESS>For questions and discussions about using Python to teach or learn programming, write to<EMAIL_ADDRESS>1.5.3 Special Interest GroupsDiscussions on specialized subjects related to Python take place on the mailing lists of Python Special Interest Groups (SIGs). http://www.python.org/sigs/ has a list of active SIGs and pointers to general and specific information about them. Over a dozen SIGs are active at the time of this writing. Here are a few examples:
1.5.4 Python Business ForumThe Python Business Forum (PBF), at http://www.python-in-business.org/, is an international society of companies that base their business on Python. The PBF was formed quite recently, but the site already offers interesting information about business uses of Python. 1.5.5 Python JournalThe Python Journal, http://pythonjournal.cognizor.com/, is a free online publication focusing on Python, how to use it, and its applications. 1.5.6 Extension Modules and Python SourcesA good starting point to explore the world of available Python extensions and sources is "The Vaults of Parnassus," available at http://www.vex.net/parnassus/. It contains over 1,000 classified and commented links. By following these links, you can find and download most freely available Python modules and tools. The standard Python source distribution contains excellent Python source code in the standard library and in the Demos and Tools directories, as well as C source for the many built-in extension modules. Even if you have no interest in building Python from source, I suggest you download and unpack the Python source distribution for study purposes. Many Python modules and tools covered in this book also have dedicated sites. References to these sites are included in the appropriate chapters in this book. 1.5.7 The Python CookbookActiveState has built a collaborative web site at http://www.activestate.com/ASPN/Python/Cookbook that contains a living collection of Python recipes. Each recipe contains some Python code, with comments and discussion, contributed by volunteers and enriched with the contributions of readers, under the editorial supervision of David Ascher. All code is covered by a license similar to Python's. Everyone is invited to participate as author and reader in this interesting and useful community endeavor. Hundreds of recipes from the site, edited, commented, and grouped into chapters with introductions by well-known Python experts, are published by O'Reilly as the Python Cookbook, edited by Alex Martelli and David Ascher. 1.5.8 Books and MagazinesAlthough the Net is a rich source of information, books and magazines still have their place (if you and I didn't agree on this, I wouldn't be writing this book, and you wouldn't be reading it). At the time of this writing, the only magazine entirely devoted to Python is Py (for updated information, visit http://www.pyzine.com/). Books about Python and Jython are more numerous. Here are a few that I recommend:
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| [ Team LiB ] |


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The Basics
I am originally from California and have lived in Clarksville,
Tennessee since January 1980.
I am divorced. I like to make
new friends but with a busy life, it is often difficult. SOMEDAY I
would like to again have the security and companionship of another
relationship; however I am VERY independent. MEANINGFUL FRIENDSHIPS
are most important to me.
I have 2 children. My daughter is
21. She attends Tennessee State University in Nashville, majoring in
political science/pre-law. My beautiful granddaughter was born in
March 2003.
My son, 17, is a senior in high school and works
part-time. He is a typical teenage boy; which means 1) he eats
constantly, 2) he loves the music I can't stand, 3) it takes
bribery, threats and trickery to get him to just take out the trash
and mow the yard, and 4) he basically ignores me. The world pretty
much revolves his beautiful, sweet girlfriend.
I was born in
March 1959. I am 5'5"; meduium length blonde hair; blue or green
eyes (depending on the contacts I'm wearing that day!). I am quite
outgoing, but painfully shy in some ways; very self-conscious and at
times far too self-critical, and often unsure of myself. I am a
smoker and a social drinker ~ and I probably drink way too much
coffee!
I am a sensitive and compassionate person. I
attended California State University-Fresno, full-time for three
years, majoring in Social Work. I am definitely of above average
intelligence and rather articulate. Depending on my mood and how
tired I am, I can be quite witty and funny!
I have been
employed in the legal field for the past since 1983 and am presently
employed as a legal assistant for a non-profit poverty law program.
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My Interests
I have a huge concern for the human condition. I have been active
in the Jaycees (Junior Chamber of Commerce) for many years. I am a
member of the Clarksville Jaycees, the Tennessee Junior Chamber of
Commerce and the JCI (Junior Chamber International; Senator #62224).
Community service is a HIGH priority in my life.
If I won
the lottery I would probably become a "full-time" volunteer for many
organizations such as the Jaycees, Red Cross, United Way,
etc.
Kangaroos have always intrigued me - hence my screen
name - and I collect unique kangaroo items.
Next to my kids
and my granddaughter, the love of my life is my little "LuLu LaRoo"
... my little old Yorkshire "Terror." She loves me unconditionally
regardless of mood and whether I'm having a bad hair day.
I
like cats very much ~ I admire their independence and
self-assuredness. No doubt, I probably have too many cats (4)! My
son has a big dog. When I say "it's like a zoo at my house" ~ I'm
not kidding!
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My Online Life
It amazes me that with a few clicks of the mouse, a myriad of
information is available. Being on-line has opened up a whole new
world for me. I've met some great people on-line and I've also met
some real weirdos. I don't care for chat rooms.
I like e-Bay
and have found many of my unique kangaroo items there.
<*><*><*><*><*><*><*><*><*><*><*><*><*><*><*><*>
THE JAYCEE CREED We Believe ... That faith in God gives
meaning and purpose to human life; That the brotherhood of man
transcends the sovereignty of nations; That economic justice can
be best won by free men through free enterprise; That government
should be of laws rather than of men; That Earth's great treasure
lies in human personality, and That service to humanity is the
best work of life.
~Hearts will never be practical until
they are made unbreakable.~
~Today is the tomorrow you
worried about yesterday, and all is well.~
~Thousands of
years ago, cats were worshiped as gods.


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December 2014 in the Flink community
January 6, 2015 -This is the first blog post of a “newsletter” like series where we give a summary of the monthly activity in the Flink community. As the Flink project grows, this can serve as a “tl;dr” for people that are not following the Flink dev and user mailing lists, or those that are simply overwhelmed by the traffic.
Flink graduation #
The biggest news is that the Apache board approved Flink as a top-level Apache project! The Flink team is working closely with the Apache press team for an official announcement, so stay tuned for details!
New Flink website #
The Flink website got a total make-over, both in terms of appearance and content.
Flink IRC channel #
A new IRC channel called #flink was created at irc.freenode.org. An easy way to access the IRC channel is through the web client. Feel free to stop by to ask anything or share your ideas about Apache Flink!
Meetups and Talks #
Apache Flink was presented in the Amsterdam Hadoop User Group
Notable code contributions #
Note: Code contributions listed here may not be part of a release or even the current snapshot yet.
Streaming Scala API #
The Flink Streaming Java API recently got its Scala counterpart. Once merged, Flink Streaming users can use both Scala and Java for their development. The Flink Streaming Scala API is built as a thin layer on top of the Java API, making sure that the APIs are kept easily in sync.
Intermediate datasets #
This pull request introduces a major change in the Flink runtime. Currently, the Flink runtime is based on the notion of operators that exchange data through channels. With the PR, intermediate data sets that are produced by operators become first-class citizens in the runtime. While this does not have any user-facing impact yet, it lays the groundwork for a slew of future features such as blocking execution, fine-grained fault-tolerance, and more efficient data sharing between cluster and client.
Configurable execution mode #
This pull request allows the user to change the object-reuse behaviour. Before this pull request, some operations would reuse objects passed to the user function while others would always create new objects. This introduces a system wide switch and changes all operators to either reuse objects or don’t reuse objects.
Distributed Coordination via Akka #
Another major change is a complete rewrite of the JobManager / TaskManager components in Scala. In addition to that, the old RPC service was replaced by Actors, using the Akka framework.
Sorting of very large records #
Flink’s internal sort-algorithms were improved to better handle large records (multiple 100s of megabytes or larger). Previously, the system did in some cases hold instances of multiple large records, resulting in high memory consumption and JVM heap thrashing. Through this fix, large records are streamed through the operators, reducing the memory consumption and GC pressure. The system now requires much less memory to support algorithms that work on such large records.
Kryo Serialization as the new default fallback #
Flink’s build-in type serialization framework is handles all common types very efficiently. Prior versions uses Avro to serialize types that the built-in framework could not handle. Flink serialization system improved a lot over time and by now surpasses the capabilities of Avro in many cases. Kryo now serves as the default fallback serialization framework, supporting a much broader range of types.
Hadoop FileSystem support #
This change permits users to use all file systems supported by Hadoop with Flink. In practice this means that users can use Flink with Tachyon, Google Cloud Storage (also out of the box Flink YARN support on Google Compute Cloud), FTP and all the other file system implementations for Hadoop.
Heading to the 0.8.0 release #
The community is working hard together with the Apache infra team to migrate the Flink infrastructure to a top-level project. At the same time, the Flink community is working on the Flink 0.8.0 release which should be out very soon.


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