The following are examples of VA Office of Modernization products. Each is designed to support one or moreof the Secretary's priorities and/or one or more VA Modernization initiatives.
Content last updated: 2019-07-03
Features last updated: 2019-05-03
The following are examples of VA Office of Modernization video products. Each is designed to support one or more of the Secretary's priorities and/or one or more VA Modernization initiatives.
VA and IBM Watson Health announced the extension of a public-private partnership to apply artificial intelligence to help interpret cancer data in the treatment of Veteran patients. First announced in 2016 as part of the National Cancer Moonshot Initiative, VA oncologists have now used IBM Watson for Genomics technology to support precision oncology care for more than 2,700 Veterans with cancer.
VA healthcare recruiting and hiring processes have been supported at 148 separate locations. As part of its Modernization efforts, VA will consolidate this function into a network of 18 concentrated locations. This will better focus HR expertise to more efficiently resolve staffing issues.
Veterans, their families, caregivers and VA's many customers have successful online transactions in their day-to-day lives. They should expect the same exceptional digital experience when coming to VA. That starts with a simple, clean, intuitive online front door. We designed it with input from the people who use it.
The Veterans Appeals Improvement and Modernization Act of 2017 became law on August 23, 2017 (Pub L. 115-55). It is also known as the Appeals Modernization Act (AMA). You can read the law in full on Congress.gov.
VA made a historic decision to modernize its electronic health record system to provide Veterans with seamless care as they transition from military service to Veteran status. VA awarded a contract to acquire the same EHR solution being deployed by DoD that allows patient data to reside in a single hosting site, using a single common system. This enables sharing of health information, improves care delivery and coordination, and provides clinicians with data and tools that support patient safety.
Enterprise Supply Chain Modernization (ESCM) improves the acquisition process of surgical supplies and ensures a speedier delivery to Veterans. Partnering with DoD, VA can provide the services Veterans deserve with potential cost savings to American taxpayers.
Put VA Data to Work.
VA is empowering its partners to build innovative, Veteran-centered solutions. Learn more about Lighthouse and
VA's APIs at https://developer.va.gov
VA telehealth changes the location where health care services are routinely provided. The value VA derives from telehealth is not in implementing telehealth technologies alone, but in how VA uses health informatics, disease management and telehealth technologies to target care/case management, thereby facilitating access to care and improving the health of Veterans.
VA has selected 18 medical centers to lead the way in the department’s efforts to transform the nation’s largest integrated health care system into a high reliability organization (HRO). Pioneered in highly complex environments, such as aviation and nuclear energy, HROs put procedures and protocols in place that maximize safety and minimize harm, which in the medical industry assures every patient receives excellent care, every time.
The 18 sites selected are: Manchester VA Medical Center (VAMC) (N.H.); Albany Samuel S. Stratton VAMC (N.Y.); Erie VAMC (Pa.); Beckley VAMC (W.Va.); Durham VAMC (N.C.); Ralph H. Johnson VAMC (Charleston, S.C.); James A. Haley Veterans Hospital (Tampa, Fla.); James H. Quillen VA Healthcare System (HCS) (Johnson City, Tenn.); Louis Stokes Cleveland VAMC (Ohio); William S. Middleton VA Hospital (Madison, Wis.); Kansas City VAMC (Mo.); G.V. Sonny Montgomery VAMC (Jackson, Miss.); Audie L. Murphy VA Hospital (San Antonio, Texas); Oklahoma City VA HCS (Okla.); Boise VAMC (Idaho); VA Sierra Nevada HCS (Reno, Nev.); VA San Diego HCS (Calif.); and St. Cloud VA HCS (Minn.).
"The major driver of transformation is the MISSION Act." - VA Secretary Robert Wilkie
If you are a Service member or Veteran in crisis or you're concerned about one, there are specially trained responders ready to help you, 24 hours a day, 7 days a week, 365 days a year. Veterans Crisis Line: 1-800-273-8255 Press 1
In December 2018, the U.S. Department of Veterans Affairs (VA) launched its first Health Application Programming Interface (API) that will power the next generation of Blue Button features by enabling Veterans to interact with their own personal health data within innovative mobile and web-based apps.
VA is a leader in providing telehealth services, leveraging the latest technologies to enhance the accessibility, capacity, and quality of VA health care for Veterans, their families, and their caregivers anywhere in the country.
A U.S. Department of Veterans Affairs (VA) customer experience feedback survey showed an average 2.4 percent increase in Veteran trust of VA hospitals during fiscal year 2018.
In 2018, VA Secretary Robert Wilkie issued VA's first customer service policy. That policy outlines how VA will achieve excellent customer service along three key pillars: CX Capabilities, CX Governance, and CX Accountability. Secretary Wilkie is holding all VA executives, managers, supervisors, and employees accountable to foster a climate of customer service excellence.
VA is modernizing the way it uses information technology.
Executive in Charge of the Veterans Health Administration, Dr. Richard Stone, speaks to the House Committee on Veterans' Affairs at the oversight hearing assessing the technology to support VA MISSION Act's community care program April 2, 2019.
Dr. Richard Stone speaking to the House Committee on Veterans' Affairs at the oversight hearing assessing the technology to support VA MISSION Act's community care program April 2, 2019.
Veterans Affairs Secretary Robert Wilkie testified at a Senate hearing on President Trump's fiscal year 2020 budget request for his department March 26, 2019. The secretary talked about how the VA is working to modernize for Veterans across the nation. This video is brought to you by the VA's Office of Modernization.
This video was created using audio from Secretary Wilkie's Congressional testimony to promote the progress being made in Modernization efforts within VA. The target audience was internal viewers, but this could appeal to many audiences and could be shown far and wide.
This is a video product we created to be used as a primer for Modernization briefings, discussions, presentations, etc. Intent is to demystify the concept of Modernization to better prepare the audience to hear the briefing / participate in the discussion.
U.S. Department of Veterans Affairs (VA) Medical Centers are using the latest technologies in their continued efforts to improve care and services to Veterans. The Tennessee Valley Healthcare System (TVHS) recently acquired four high-tech devices to battle pathogens and kill multi-drug resistant organisms at its Nashville and Murfreesboro Medical Centers.
A video highlighting VA Tennessee Valley Health System.
A MODCast Video comparing and contrasting VA healthcare and private healthcare.
This video was made to promote the VA's Best Places to Work survey. Input gathered in this survey helps VA leaders tailor their programs, policies and procedures to make improvements, and Secretary Wilkie was interested in getting wide participation. Target audience was internal viewers and the goal was to compel people to believe taking the survey is important, and that their feedback is welcome and valuable.
The following are examples of images we will offer for sharing via social media.
The following are examples of other video products created by the Office of Modernization and others. These videos may be relevant or related to Modernization initiatives but may not necessarily be used on the page.
Explains how VA uses APIs for benefits intake.
VA telehealth bridges health care access and expertise across distances that otherwise separate some Veterans — especially those living in rural areas — from the providers best able to serve them. Learn more about telehealth services at www.telehealth.va.gov, and contact your care team. Made by VHA
This whiteboard video briefly addresses some of great highlights to the Forever GI Bill.
VA is helping students make informed choices by providing information about schools offering “priority enrollment,” allowing Veterans to register ahead of certain other students. They may not necessarily have first priority, but if a school gives some sort of priority to Veterans, VA will share that information on the GI Bill Comparison Tool on the GI Bill website. For more information about the GI Bill, visit www.benefits.va.gov/gibill.
Learn about the GI Bill. For more information, visit www.benefits.va.gov/gibill .
A veteran takes time to care for his ailing father, without fear of losing his VA education benefits. For more information about the GI Bill, visit www.benefits.va.gov/gibill.
GI Bill isn’t just about getting a degree - see how you can use the GI Bill to get technical training and business training. For more information about the GI Bill, visit www.benefits.va.gov/gibill
Veteran pursues his dreams with the help of the Forever GI Bill. For more information about the Harry W. Colmery Veterans Educational Assistance Act (Forever GI Bill).
World War II Veteran Vincent R. Holley, P.E., C.S.P., talks about his experience with TVHS.
This is an example of MODWeekly, a video product we create to summarize the biggest VA news stories of the week. Target audience is employees. The product is posted to the MOD Central space in VA Pulse, as well as to VA's internal employee blog, VA Insider.
This is a tour of VA Pulse and the MOD Central space on VA Pulse, the main place where the Office of Modernization posts its communication products. This was created specifically for BCW/HZ team orientation.
3D Printing focuses on using 3D printing to enhance the care of Veterans by improving understanding of complex patient anatomy. As medicine continues to advance, there are more and more minimally invasive treatment strategies for diseases such as cancer (renal tumor 3D printed model) and heart failure. This means surgical incisions are smaller, portions of vital organs are increasingly spared and patients recover faster. Medical imaging coupled with 3D printing can play a role in planning for these procedures by allowing physicians the opportunity to see and interact with patient anatomy before a patient goes to the operating room. Our hope is that 3D printing will speed treatment and recovery of Veterans.
VA Video Connect Demo
Skip the phone call. For your next VA care visit, use VA Online Scheduling to book your appointment. To learn more, visit the My Healthevet portal at myhealth.va.gov.
Before receiving her new hearing aid equipment in early 2017, Hartley had been using hearing aid devices for years. Some were helpful at times, but most fell short of her expectations. She needed help -- and to her relief, she had finally found it. Thanks to cutting-edge VA technologies called Telehealth, new hearing aid equipment and support from her friends at the Key West VA Clinic, Hartley found a solution that is finally working for her.
In the wake of Hurricane Harvey, as flood waters rose quickly, one Army Veteran worked to help his terminally ill wife out of their Houston home. He had already freed his truck from the flooding, and they were all set to leave, but then he realized the waters must have swept his antibiotics right off the counter.
At VA, our goal is to prevent suicide among all Veterans, including those who do not and may never, come to us for care. To do that, we have adopted a public health to suicide prevention driven by data and best practices that looks beyond the individual to involve peers, family members, and the community.
Learn how the new VA Appeals Modernization process provides a quicker review of your disagreement with any VA claim decision.
The Under Secretary for Benefits, Paul R. Lawrence, Ph.D., held a live webcast on January 31 about the general health of the Veterans Benefits Administration (VBA) for the first quarter in Fiscal Year 2019, including its performance and financial metrics, accomplishments, challenges, and collaborations. This was the second in a series of quarterly events in which we share VBA's progress, challenges, and way forward for the administration.
PX Symposium - Day 2 (Feb 6, 2019) 5+ hours.
The following are examples of VA Office of Modernization microblogs.
The U.S. Department of Veterans Affairs (VA) is equipping its employees with the information, tools, and skills they need to deliver quality services and improve the Veteran experience. Employees will be better able to provide an excellent customer service experience to Veterans, Servicemembers, their families, caregivers, and survivors through VA’s exciting new initiatives. These include:
Initiatives like these are improving VA’s service delivery capabilities and enhancing Veterans’ customer experience.
In October 2017, the fully operational White House VA Hotline went live. This hotline is the first of its kind: a non-clinical, non-emergency, around-the-clock Veteran call center. The hotline, with live agents available 24 hours per day and 365 days per year, fields Veterans’ complaints and requests for information.
VA and the White House created the hotline to modernize, improve, and simplify the way Veterans contact VA. The hotline is staffed by more than 60 agents with extensive training in VA programs and services. In response to feedback that Veterans preferred to speak to agents who could relate to their experiences, most of these agents are Veterans, military family members, caregivers or survivors.
To contact the White House VA Hotline, Veterans can call 1-855-948-2311.
Electronic Health Record Modernization means VA is doing business differently. “We made a historic decision to modernize our electronic health record (EHR) system to provide our nation’s Veterans with seamless care as they transition from military service to Veteran status. The same EHR solution being deployed by DoD that allows patient data to reside in a single hosting site using a single common system to enable sharing of health information, improve care delivery and coordination, and provide clinicians with data and tools that support patient safety,” said VA Secretary Robert Wilkie.
VA and the Department of Defense (DoD) share more medical information than any other two healthcare organizations in the country, so adopting the same computerized record system will facilitate a seamless link between the Departments. Veterans will have a single lifetime record starting the day they begin military service to ensure their safety, health, and general well-being throughout their lives.


MongoDBMongoDB is a backend as a service that provides an HTTP API to MongoDB, integration with other services, and a declarative rules infrastructure which spans database and service actions. For more information
ExpressExpress.js, or simply Express, is a web application framework for Node.js, released as free and open-source software under the MIT License. It is designed for building web applications and APIs. It is the de facto standard server framework for Node.js.
AngularAngular is a toolset for building the framework most suited to your application development. It is fully extensible and works well with other libraries. Every feature can be modified or replaced to suit your unique development workflow and feature needs. Read on to find out how.
Node.jsNode.js® is a JavaScript runtime built on Chrome's V8 JavaScript engine. Node.js uses an event-driven, non-blocking I/O model that makes it lightweight and efficient. Node.js' package ecosystem, npm, is the largest ecosystem of open source libraries in the world.


We help develop R packages for the sciences via community driven learning, review and maintenance of contributed software in the R ecosystem.


{% extends "base.html" %} {% load static %} {% block title %}Resume Books{% endblock %} {% block css %} {% endblock %} {% block content %}
Download the resumes of every single Hackathon participant as a Zip File
Download the resumes of every single Hackathon participant that is Class of {{ year }} ({{title}}) as a Zip File
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curl_mime_encoder - set encoder and content transfer encoding
NAME
curl_mime_encoder - set a mime part's encoder and content transfer encoding
SYNOPSIS
#include <curl/curl.h>
CURLcode curl_mime_encoder(curl_mimepart * part , const char * encoding );
DESCRIPTION
curl_mime_encoder() requests a mime part's content to be encoded before being transmitted.
part is the part's handle to assign an encoder. encoding is a pointer to a zero-terminated encoding scheme. It may be set to NULL to disable an encoder previously attached to the part. The encoding scheme storage may safely be reused after this function returns.
Setting a part's encoder twice is valid: only the value set by the last call is retained.
Upon multipart rendering, the part's content is encoded according to the pertaining scheme and a corresponding Content-Transfer-Encoding" header is added to the part.
Supported encoding schemes are:
"binary": the data is left unchanged, the header is added.
"8bit": header added, no data change.
"7bit": the data is unchanged, but is each byte is checked to be a 7-bit value; if not, a read error occurs.
"base64": Data is converted to base64 encoding, then split in CRLF-terminated lines of at most 76 characters.
"quoted-printable": data is encoded in quoted printable lines of at most 76 characters. Since the resulting size of the final data cannot be determined prior to reading the original data, it is left as unknown, causing chunked transfer in HTTP. For the same reason, this encoder may not be used with IMAP. This encoder targets text data that is mostly ASCII and should not be used with other types of data.
If the original data is already encoded in such a scheme, a custom Content-Transfer-Encoding header should be added with FIcurl_mime_headers() instead of setting a part encoder.
Encoding should not be applied to multiparts, thus the use of this function on a part with content set with curl_mime_subparts() is strongly discouraged.
AVAILABILITY
As long as at least one of HTTP, SMTP or IMAP is enabled. Added in 7.56.0.
RETURN VALUE
CURLE_OK or a CURL error code upon failure.
EXAMPLE
curl_mime *mime; curl_mimepart *part; /* create a mime handle */ mime = curl_mime_init(easy); /* add a part */ part = curl_mime_addpart(mime); /* send a file */ curl_mime_filedata(part, "image.png"); /* encode file data in base64 for transfer */ curl_mime_encoder(part, "base64");
SEE ALSO
curl_mime_addpart, curl_mime_headers, curl_mime_subparts
This HTML page was made with roffit.


In logistic regression, the loss function and the cost function J take the forms
where is the sigmoid of the linear superposition of the features represented in matrix form, with as the vector of the feature weights, and as the intercept term. The sigmoid of some function is defined as
To understand why and take such forms, first note that is the probability of the binary classification variable to be equal to a positive example (). This means for a single example , takes the form if . The other condition is when , where we want the probability to be equal to zero. To satisfy both of these conditions, we define :
Another way to write is as follows:
You can check this for yourself using or .
Now, let’s consider the idea of applying a logarithm on probabilities. The probability defined above for a single example is simple enough, but if you’d like to do maximum likelihood estimation for a set of examples, then we have to consider some “overall probability” value. In probability theory, when two events and are independent, then the probability of them both occurring (their intersection) is given by
In most cases, it’s safe to assume that every example in your training set occurred independently of each other. Thus the probability for a training set of samples is
We can use probabilities outrightly, but using the logarithm of probabilities has many practical advantages. One advantage is that multiplication is more computationally expensive than addition. We’ll see shortly how applying the log translates the above from a multiplication problem to an addition problem. Also, computers have limited floating point accuracy, thus when a computer multiplies a very large set of probabilities (recall that they’re valued from zero to one), you may end up with a value very close or equal to zero, which is far from ideal. You will not encounter this weird behaviour if you apply the logarithm.
Let’s apply the logarithm to . Using the fact that and , we get
This is similar in form to the loss function of logistic regression for a single example, except for the minus sign. Logistic regression includes the minus sign in order for the cost function to be minimized.
How about for ? By applying the multiplication rule for probabilities, it turns out that is just the sum of the loss functions of every training example:
Looks familiar? Recall from above that the cost function has the form
Thus, is the cost function without the negative sign and without the scaling factor :
The factor found in is for scaling purposes, and to allow us to treat the cost function as the average of the loss functions for all training examples.


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--- layout: page title: Press description: We want to help you deliver a stellar community experience, quantify your business impact, and become the next generation of community and DevRel leadership. eleventyNavigation: key: Press --- {% from "macros/typography.njk" import title %}


Highlighting text in color using HTML and CSS
Highlighting text on a web page can help bring important information immediately to the reader's attention. For example, this text is highlighted in yellow and probably caught your eye first. There are several methods for highlighting text. To proceed, select a method from the list below and follow the instructions.
Highlight using the HTML5  tag
If you are working on an HTML5 page, the  tag can be used to quickly highlight text. Below is an example of the mark tag being used. If your browser supports the  tag, "highlighted text" should have a yellow background.
Example code:
Here is an example of highlighted text using the  tag.
Example result:
Here is an example of highlighted text using the  tag.
Highlight text with only HTML code
To highlight text with just HTML code and support for all browsers, set the background-color style, as shown in the example below, using the  HTML tag.
Example code:
This text is highlighted in yellow.
Example result:
This text is highlighted text in yellow.
Tip: In the example above, the  HTML tag has a background-color code of #FFFF00, which is yellow. In this case, the word "yellow" could have also been used in place of the color code, or any other color name for that matter.
Tip: With the same code, you could also highlight one or more words within a paragraph to draw attention to a specific section of the text.
Highlight text with CSS & HTML
You can also create a CSS class and set the "background-color" attribute, as shown in the example below.
Example code:

In the CSS code above, there are three elements being defined. First, the body background color is set to blue, second, a new class called "highlightme" with a yellow background has been created, and finally, the paragraph tag will have a white background.
If you want to use the "highlightme" class to highlight your text, you can create a  tag in your HTML which references the CSS class.
Example code:
test
How to highlight a complete paragraph
The CSS class or style class mentioned above could also be applied to a paragraph tag if you wanted to highlight a complete paragraph as shown below.
Example code:

This whole paragraph of text is highlighted in yellow.

Example result:
This whole paragraph of text is highlighted in yellow.
Additional information
- See our CSS, highlight, and HTML definition for additional information related pages.
- CSS and HTML color help and support.


last changed 10/15/2014
NetCDF4 / HDF5 does not support attributes on fields in Compound types. These are proposed Conventions to support attributes on individual fields in a Compound type.
Consider an example of a compound variable in NetCDF-4, using CDL:
netcdf point.nc4 { types: compound record_t { double time ; double latitude ; double longitude ; byte data ; float z ; } dimensions: obs = UNLIMITED ; // (5 currently) variables: record_t record(obs) ; }
We would like to add any number of attributes of arbitrary type to the fields of this compound type. For example (in CDM), suppose we want to add the following attributes:
netcdf point.nc { dimensions: time= 5; variables: Structure { int lon; :long_name = "longitude"; :units = "degrees_east"; int lat; :long_name = "latitude"; :units = "degrees_north"; float z; :long_name = "height above mean sea level"; :units = "km"; :positive = "up"; short time; :units = "days since 1970-01-01 00:00:00"; byte data; :long_name = "skin temperature"; :units = "Celsius"; :coordinates = "time lon lat z"; :calibration = 1382.89f, 12.0f, 0.008f; // float } obs(time); }
The "Arbitrary field attributes" proposal is to add a compound attribute named "_field_atts" to the compound variable, with one field for each attribute on any of the fields. Example in CDL:
netcdf point.nc4 { types: compound record_t { double time ; double latitude ; double longitude ; byte data ; float z ; }; compound _record_field_atts_t { string time\:units; string latitude\:units; string latitude\:long_name ; string longitude\:units; string longitude\:long_name; string data\:units; string data\:long_name; string data\:coordinates; float data\:calibration(3) ; string z\:units; string z\:long_name; string z\:positive; }; dimensions: obs = UNLIMITED ; // (5 currently) variables: record_t record(obs) ; _record_field_atts_t record:_field_atts = {{"days since 1970-01-01 00:00:00"}, {"degrees_north"}, {"station latitude"}, {"degrees_east"}, {"station longitude"}, {"Celsius"}, {"skin temperature"}, {"time lon lat z"}, { 1382.89f, 12.0f, 0.008f} {"km"}, {"height above mean sea level"}, {"up"}} ;
Notes:
An important use case is to add missing values to a compound type. In this case, there is no need to add a separate compound type, and in practice would be confusing. Example:
types: compound wind_vector_t { float eastward ; float northward ; } dimensions: station = 53434 ; variables: wind_vector_t wind(station) ; wind_vector_t wind:_FillValue = {-9999, -9999} ;
Notes:
We propose to allow adding attributes to fields in a compound type, using both the "Arbitrary field attributes" and the "Natural field attributes" conventions. Both require no changes to the existing NetCDF / HDF file format or APIs. Both are conventions on how libraries and applications should understand certain compound attributes.
The NetCDF Java library will follow these conventions and hide the implementation details from the user. The NetCDF C library might in the future do the same.


This is all about me and me!
Thanks for playing my silly guessing game. Did you find it to be fun or annoying? Here is a bit of background about myself. I enjoy learning to code but I have no prior coding experience. I love spending the weekend outdoor with my husband and my two sons. Of course my dad is not Bruce Lee and I grew up with 3 older brothers. Ironically, majority of my brothers have daughters. Therefore, I now have 5 nieces. My biggest fear in life is snake. If I have enough money, I would love to travel around the world, especially to tropical places. That should give you a bit of a background about me and my family.
Below are the questions which I asked you to guess during the game
- Question 1: Do you think I have any coding experience?
- Question 2: I am very tall, do you think I am over 6 feet tall?
- Question 3: Do I have any sisters?
- Quesiton 4: If I told you my dad is Bruce Lee, would you believe me?
- Question 5: Lastly, do you think I can become a software developer in the future?
- Question 6: Please guess how many nieces I have?
- Question 7: Can you guess one of the 5 cities in the U.S. that I have visited?
The top ten activities that I enjoy doing over the weekends:
- Spending time with my kids
- Fishing
- Traveling
- Hanging out at coffee shops
- Hiking
- Hosting a family BBQ
- Shopping
- Bicycleing
- Sleeping
- Watching a movie


--- layout: page title: Lean Prover Zulip Chat Archive permalink: archive/113488general/22471copyingstructurefieldsfromtwoplaces.html ---
I want to write { X and Y with .. }
to copy fields from two different structures. How is this meant to be done?
Ah: { ..X, ..Y }


You know what? I got mad at google for making the error of posting Pennsylvania as being 99% reported on election night 2016, then posting PA as 89% reported about 2:30am-ish the 9th. I called Google and complained not because I am a Donald Trump supporter, I'm not even going there. I called out of what I thought was fairness for the democratic process.  How could anyone at Google make such a mistake? Well, you know what? Google is comprised of humans. Like, well, almost all companies....
Today (Nov. 11th, 2016), I was contacted by what turns out to be a scam artist. Their ultimate goal was to get me to join a transaction website other than Paypal, of which I am currently a member. They were going to attempt to get me so excited about the opportunity to make money, that I would end up giving them access to what little money I have. How did I know this was their ultimate goal? I "googled" the dudes email address. Up came all the info I needed to stay away from this crook. Then I thought. They contacted me through my g-mail email. An email account which Google allows me to use FREE of charge. And I continued thinking. Basically Google Search allows me to freely search the entire world. Search for whatever information I feel I need. Wow, that's pretty darn cool. They, I mean Google, provide all types of business and personal resources. They're online to make my life better, easier, and it's all FREE!
So I say Google Rocks! Thank you Google and keep up the good work. Remember Google's motto "Don't be evil".
Written By: West Brown of AccessTech.io


Below you can find the research topics that I have worked on in the past or I am working right now. Generally speaking, I am interested in parallel numerical algorithms for the solution of large-scale linear systems, eigenvalue problems, and problems in data analysis.
Population genetics
A plot of the projection of the HGDP dataset onto the two leading principal directions.
- 1. "TeraPCA: a Fast and Scalable Method to Study Genetic Variation in Tera-scale Genotypes". Preprint, Dept. Computer Science and Engineering, University of Minnesota, Minneapolis, MN, 2018.
Top-N recommendations
- 2. "EIGENREC: Generalizing PureSVD for Effective and Efficient Top-N Recommendations". To appear in Knowledge and Information Systems, 2018.
- 1. "Factored Proximity Models for Top-N Recommendations". In Proceedings of the 2017 IEEE International Conference on Big Knowledge (ICBK 2017).


Private equity's rush to get into shale development helped push oversupply issues, Harold Hamm believes
by Jack MoneyThe nation’s oil and natural gas industry is awash in production thanks to technological and operational improvements.
But that success also flooded the industry with private equity investments that only accelerated oversupply issues, Harold Hamm, Continental Resources’ chairman and CEO, told an audience of several hundred at the Dug Midcontinent conference in Oklahoma City on Wednesday.
“Our energy renaissance is the best thing that has happened since oil was found in Saudi Arabia. It is huge,” Hamm said, but added, “it probably wouldn’t have been quite as bad, but there were a lot of elements from the market side, private equity players, that overloaded the sector.”
“The early people who came in and took an equity position and then flipped it to someone else made a lot of money. They did well,” he said. But those that followed? Not so much.
“Today, we just say that model is broken, because a lot (of companies and investors) are stuck,” Hamm said. “A lot of folks who raised their money from investors basically have been burned and stung, and that helped sour the market.”
Still, he said it has been a remarkable decade for the industry.
Before 2008, diesel was retailing for more than $4 a gallon while most believed the globe's future energy supply mainly would be provided by bitumen produced in Canada.
These days, diesel is about as cheap as a gallon of unleaded gas.
“The Bakken — a natural shale play — lit it up for America,” he said. “It was a game changer that had a profound impact on the national market.”
During a conversational interview between himself and Nissa Darbonne, editor-at-large at Oil and Gas Investor, Hamm also talked about OPEC’s ability to influence world crude markets in light of the U.S.’s ability to export crude, about Continental Resources’ success in finding and developing key oil resources, about work the Domestic Energy Producers Alliance did to get Congress to allow crude oil exports, about one of the alliance’s current focuses, about the current political environment and about his thoughts on the future.
OPEC’s concern
Hamm estimated Wednesday that Saudi Arabia needs oil at $80 a barrel to have enough money to adequately operate its country.
But he said its ability to impact the market in a meaningful way continues to diminish as the U.S. oil and gas industry, which has been able to export crude since 2016, continues to build out what it needs to adequately put its supplies on the world market.
He noted the price differential between West Texas Intermediate and Brent crude continues to narrow as that process evolves.
“In 2014, they thought they could bust us and didn’t quite get that done,” Hamm said. “After they oversupplied global markets, they cut back, but they misjudged and didn’t cut back enough.
“If we were getting what OPEC was getting all along, it would be a totally different story."
Continental’s success
“We have a great team (of geologists and engineers), a lot of talent that honors the science … and have a nose for finding oil,” Hamm said. “But it is more than just finding oil — we wanted to find complete fields.”
Hamm told Darbonne Continental purposely seeks oil because of its value.
“Gas is ubiquitous. It is everywhere, easier to find in large quantities,” he said. “What has happened with shale? We have found a lot of both.
"Don’t get me wrong. It is great to be fortunate and lucky in this business.”
Alliance tasks remain
Hamm agreed with Darbonne that the Domestic Energy Producers Alliance’s achievement to change federal law to allow oil exports remains one of its most notable.
He said the alliance, which he chairs, is working on several energy-related issues today, including a push to get federal oversight of natural gas pipeline projects changed so that it mirrors the administrative review process the federal government already follows when considering and approving lines that carry oil.
Hamm noted that it typically can take a year or longer to get a natural gas pipeline project through an approval process before the Federal Energy Regulatory Commission.
“Today, there are $115 billion of gas projects held up because FERC hasn’t made the approvals,” he said.
About the future
Hamm said he and his team recently looked at Continental Resources’ performance since the firm went public in 2007.
“What we saw is, it has been very cyclic, like a saw tooth, if you will,” he said.
There’s no doubt, he agreed, most public companies now are pulling in their horns with a realization the supply and demand market needs to be balanced again.
“A reduction in capital expenditures is a huge part of what everybody has to do,” Hamm said.
“It seems simple, but it is somewhat painful. If you are a private equity and you are guaranteed a delivery, to choose not to do it is tough.”
However, Hamm said he expects the industry will eventually recover from its current malaise, provided investors and the companies they support are willing.
Oklahoma and the nation, he told audience members, hold more oil and natural gas than many believed.
Oklahoma, for example, has tripled its oil production and doubled its natural gas production since horizontal drilling and completion techniques in shale plays took hold, he said.
In part, Hamm attributed that to existing infrastructure that midstream companies already had in place as shale development activities began ramping up in west-central and northwest Oklahoma.
He also credited those companies and others for building out significant recent projects to help move natural gas, natural gas liquids and oil from the field to market.
“We are not as constrained as some places are, not like the Permian,” he said.
And despite an ongoing political climate that is polarized between environmentalists seeking to declare war on fossil fuels and seemingly everyone else, Hamm was generally upbeat about the future, despite current market conditions.
He also encouraged audience members to learn their trades well, saying, “you can do what I have done if you work hard, put it together, get a little bit lucky and find some oil.
“The future is bright,” Hamm said, noting fossil fuels will still be a major energy supplier for the nation for at least another half-century.
“We just need commodity prices to recover. We all we be a lot happier if that happens.”
Related Photos


I have 4+ years of professional development experience building fullstack and cross platform products from scratch, developing and integrating APIs, working with a variety of databases more recently developing mobile applications with React Native.
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BeHappyTherapist is a Ghanaian based online therapy service. The mission of BeHappyTherapist is to make professional counseling accessible, affordable, convenient - so anyone who struggles with life’s challenges can get help, anytime, anywhere. This is to help people find therapists online and chat with them. Visit BeHappyTherapist. You can help by donating. Click here to donate
Shopy POS is an inventory and point of sale application designed for retail shops.Click here to request a quote for shopy now!
This is a Quran verses chrome extension. This extension that generates verses from the Quran whenever is opened. You also get a notification within time periods with verses from the Quran. Download from the chrome webstore
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The Mazzuma Node library provides convenient access to the mazzuma API from applications written in server-side JavaScript.
Blocks is a very minimal PHP framework for building web applications.
This is a command line (CLI) tool for interacting with Blocks Framework.
This is a really simple and minimal Electron + React boilerplate to get you started with a project. This project use a Webpack as a module bundler to React ES2015 to vanilla JS.
A simple mongodb express node boilerplate.
TwitBot is a twitter bot built in node. This bot tweets a programmer's quote every hour, tweet to a user if followed and replies to tweet.
Apart from being a full stack developer, I enjoy watching sci-fi movies and TV shows. I'm also into anime. I think my favorite TV show of all time is Doctor Who. I also spend a large amount of my free time exploring the latest programming technologies and advancements


pymatgen.symmetry.settings module¶
-
class
JonesFaithfulTransformation
(P, p)[source]¶ Bases:
object
Transform between settings using matrix P and origin shift vector p, using same notation as reference.
Should initialize using from_transformation_string in Jones faithful notation, given by a string specifying both a transformation matrix and an origin shift, with parts delimited by a semi-colon. Best shown by example:
- a,b,c;0,0,0 is the identity (no change)
- -b+c,a+c,-a+b+c;0,0,0 is R3:r to R3:h (rhombohedral to hexagonal setting)
- a,b,c;-1/4,-1/4,-1/4 is Pnnn:1 to Pnnn:2 (change in origin choice)
- b,c,a;-1/2,-1/2,-1/2 is Bbab:1 to Ccca:2 (change settin and origin)
Can transform points (coords), lattices and symmetry operations.
Used for transforming magnetic space groups since these are commonly used in multiple settings, due to needing to transform between magnetic and non-magnetic settings.
See: International Tables for Crystallography (2016). Vol. A, Chapter 1.5, pp. 75–106.
-
P
¶ transformation matri
Type: return
-
classmethod
from_transformation_string
(transformation_string='a, b, c;0, 0, 0')[source]¶ Construct SpaceGroupTransformation from its transformation string. :param P: matrix :param p: origin shift vector :return:
-
inverse
¶ JonesFaithfulTransformation
Type: return
-
p
¶ translation vector
Type: return
-
transform_coords
(coords)[source]¶ Takes a list of co-ordinates and transforms them. :param coords: List of coords :return:
-
transform_lattice
(lattice)[source]¶ Takes a Lattice object and transforms it. :param lattice: Lattice :return:
-
transform_symmop
(symmop)[source]¶ Takes a symmetry operation and transforms it. :param symmop: SymmOp or MagSymmOp :return:
-
transformation_string
¶ transformation string
Type: return


Programming a quantum computer is now something that anyone can do in the comfort of their own home.
But what to create? What is a quantum program anyway? In fact, what is a quantum computer?
These questions can be answered by making comparisons to standard digital computers. Unfortunately, most people don’t actually understand how digital computers work either. So in this article we’ll look at the basics principles behind these devices. To help us transition over to quantum computing later on, we’ll do it using the same tools as we'll use for quantum.
from qiskit import QuantumCircuit, execute, Aer
from qiskit.visualization import plot_histogram
The first thing we need to know about is the idea of bits. These are designed to be the world’s simplest alphabet. With only two characters, 0 and 1, we can represent any piece of information.
One example is numbers. In European languages, numbers are usually represented using a string of the ten digits 0, 1, 2, 3, 4, 5, 6, 7, 8 and 9. In this string of digits, each represents how many times the number contains a certain powers of ten. For example, when we write 9213, we mean
$$ 9000 + 200 + 10 + 3 $$or, expressed in a way that emphasizes the powers of ten
$$ (9\times10^3) + (2\times10^2) + (1\times10^1) + (3\times10^0) $$Though we usually use this system based on the number 10, we can just as easily use one based on any other number. The binary number system, for example, is based on the number two. This means using the two characters 0 and 1 to express numbers as multiples of powers of two. For example, 9213 becomes<PHONE_NUMBER>1101, since
$$ 9213 = (1 \times 2^{13}) + (0 \times 2^{12}) + (0 \times 2^{11})+ (0 \times 2^{10}) +(1 \times 2^9) + (1 \times 2^8) + (1 \times 2^7) \\\\ \,\,\, + (1 \times 2^6) + (1 \times 2^5) + (1 \times 2^4) + (1 \times 2^3) + (1 \times 2^2) + (0 \times 2^1) + (1 \times 2^0) $$In this we are expressing numbers as multiples of 2, 4, 8, 16, 32, etc instead of 10, 100, 1000, etc.
These strings of bits, known as binary strings, can be used to represent more than just numbers. For example, there is a way to represent any text using bits. For any letter, number or punctuation mark you want to use, you can find a corresponding string of at most eight bits using this table. Though these are quite arbitrary, this is a widely agreed upon standard. In fact, it's what was used to transmit this article to you through the internet.
This is how all information is represented in computers. Whether numbers, letters, images or sound, it all exists in the form of binary strings.
Like our standard digital computers, quantum computers are based on this same basic idea. The main difference is that they use qubits, a variant of the bit that can be manipulated in quantum ways. In the rest of this textbook, we will explore what qubits are, what they can do and how they do it. In this section, however, we are not talking about quantum at all. So we just use qubits as if they were bits.
Computation as a diagram
Whether we are using qubits our bits, we need to manipulate them in order to turn the inputs we have into the outputs we need. For the very simplest programs for small numbers of bits, it is useful to represent this process in a diagram known as a circuit diagram. These have inputs on the left, outputs on the right, and operations represented by arcane symbols in between. These operations are called 'gates', mostly for historical reasons.
Here's an example of what a circuit looks like for standard, bit-based computers. You aren't expected to understand what it does. It is simply to give you an idea of what these circuits look like.
For quantum computers we use the same basic idea, but we have different conventions for how to represent inputs, outputs, and the symbols used for operations. Here is the quantum circuit that represents the same process as above.
In the rest of this section, we will explain how to build circuits. At the end you'll know how to create the circuit above, what it does and why it is useful.
In a circuit we typically need to do three jobs: First encode the input, then do some actual computation and finally extract an output. For your first quantum circuit, we'll focus on the last of these jobs. We start by creating a circuit with eight qubits and eight outputs.
n = 8
n_q = 8
n_b = 8
qc_output = QuantumCircuit(n_q,n_b)
This circuit, which we have called qc_output
, is created by Qiskit using QuantumCircuit
. The number n_q
defines the number of qubits in the circuit. With n_b
we define the number of output bits we will extract from the circuit at the end.
The extraction of outputs in a quantum circuit is done using an operation called measure
. Each measurement tells a specific qubit to give an output to a specific output bit. The following code adds a measure
operation to each of our eight qubits. The qubits and bits are both labelled by the numbers from 0 to 7 (because that’s how programmers like to do things). The command qc.measure(j,j)
adds a measurement to our circuit qc
that tells qubit j
to write an output to bit j
.
for j in range(n):
qc_output.measure(j,j)
Now our circuit has something in, let's take a look at it.
qc_output.draw(output='mpl')
Qubits are always initialized to give the output 0
. Since we don't do anything to our qubits in the circuit above, this is exactly the result we'll get when we measure them. We can see this by running the circuit many times and plotting the results in a histogram. We will find that the result is always 00000000
: a 0
from each qubit.
counts = execute(qc_output,Aer.get_backend('qasm_simulator')).result().get_counts()
plot_histogram(counts)
The reason for running many times and showing the result as a histogram is because sometimes quantum computers have some randomness in their results. In this case, since we aren’t doing anything quantum, we get just the 00000000
result with certainty.
Note that this result comes from a quantum simulator, which is a standard computer calculating what a quantum computer would do. Simulations are only possible for small numbers of qubits, but they are nevertheless a very useful tool when designing your first quantum circuits. To run on a real device you simply need to replace Aer.get_backend('qasm_simulator')
with the backend object of the device you want to use.
Encoding an input
Now let's look at how to encode a different binary string as an input. For this we need what is known as a NOT gate. This is the most basic operation that you can do in a computer. It simply flips the bit value: 0
becomes 1
and 1
becomes 0
. For qubits, it is an operation called x
that does the job of the NOT.
Below we create a new circuit dedicated to the job of encoding and call it qc_encode
. For this we only specify the number of qubits for now.
qc_encode = QuantumCircuit(n)
qc_encode.x(7)
qc_encode.draw(output='mpl')
Extracting results can be done using the circuit we have from before: qc_output
. Adding the two circuits using qc_encode + qc_output
creates a new circuit with everything needed to extract an output added at the end.
qc = qc_encode + qc_output
qc.draw(output='mpl',justify='none')
Now we can run the combined circuit and look at the results.
counts = execute(qc,Aer.get_backend('qasm_simulator')).result().get_counts()
plot_histogram(counts)
Now our computer outputs the string 10000000
instead.
The bit we flipped, which comes from qubit 7, lives on the far left of the string. This is because Qiskit numbers the bits in a string from left to right. If this convention seems odd to you, don’t worry. It seems odd to lots of other people too, and some prefer to number their bits the other way around. But this system certainly has its advantages when we are using the bits to represent numbers. Specifically, it means that qubit 7 is telling us about how many $2^7$s we have in our number. So by flipping this bit, we’ve now written the number 128 in our simple 8-bit computer.
Now try out writing another number for yourself. You could do your age, for example. Just use a search engine to find out what the number looks like in binary (if it includes a ‘0b’, just ignore it), and then add some 0s to the left side if you are younger than 64.
qc_encode = QuantumCircuit(n)
qc_encode.x(1)
qc_encode.x(5)
qc_encode.draw(output='mpl')
Now we know how to encode information in a computer. The next step is to process it: To take an input that we have encoded, and turn it into an output that we need.
To look at turning inputs into outputs, we need a problem to solve. Let’s do some basic maths. In primary school you will have learned how to take large mathematical problems and break them down into manageable pieces. For example, how would you go about solving the following?
9213
+ 1854
= ????
One way is to do it digit by digit, from right to left. So we start with 3+4
9213
+ 1854
= ???7
And then 1+5
9213
+ 1854
= ??67
Then we have 2+8=10. Since this is a two digit answer, we need to carry the one over to the next column.
9213
+ 1854
= ?067
¹
Finally we have 9+1+1=11, and get our answer
9213
+ 1854
= 11067
¹
This may just be simple addition, but it demonstrates the principles behind all algorithms. Whether the algorithm is designed to solve mathematical problems or process text or images, we always break big tasks down into small and simple steps.
To run on a computer, algorithms need to be compiled down to the smallest and simplest steps possible. To see what these look like, let’s do the above addition problem again, but in binary.
10001111111101
+<PHONE_NUMBER>1110
= ??????????????
Note that the second number has a bunch of extra 0s on the left. This just serves to make the two strings the same length.
Our first task is to do the 1+0 for the column on the right. In binary, as in any number system, the answer is 1. We get the same result for the 0+1 of the second column.
10001111111101
+<PHONE_NUMBER>1110
= ????????????11
Next we have 1+1. As you’ll surely be aware, 1+1=2. In binary, the number 2 is written 10
, and so requires two bits. This means that we need to carry the 1, just as we would for the number 10 in decimal.
10001111111101
+<PHONE_NUMBER>1110
= ???????????011
¹
The next column now requires us to calculate 1+1+1
. This means adding three numbers together, so things are getting complicated for our computer. But we can still compile it down to simpler operations, and do it in a way that only ever requires us to add two bits together. For this we can start with just the first two 1s.
1
+ 1
= 10
Now we need to add this 10
to the final 1
, which can be done using our usual method of going through the columns.
10
+ 01
= 11
The final answer is 11
(also known as 3).
Now we can get back to the rest of the problem. With the answer of 11
, we have another carry bit.
10001111111101
+<PHONE_NUMBER>1110
= ??????????1011
¹¹
So now we have another 1+1+1 to do. But we already know how to do that, so it’s not a big deal.
In fact, everything left so far is something we already know how to do. This is because, if you break everything down into adding just two bits, there’s only four possible things you’ll ever need to calculate. Here are the four basic sums (we’ll write all the answers with two bits to be consistent).
0+0 = 00 (in decimal, this is 0+0=0)
0+1 = 01 (in decimal, this is 0+1=1)
1+0 = 01 (in decimal, this is 1+0=1)
1+1 = 10 (in decimal, this is 1+1=2)
This is called a half adder. If our computer can implement this, and if it can chain many of them together, it can add anything.
Let's make our own half adder using Qiskit. This will include a part of the circuit that encodes the input, a part that executes the algorithm, and a part that extracts the result. The first part will need to be changed whenever we want to use a new input, but the rest will always remain the same.
The two bits we want to add are encoded in the qubits 0 and 1. The above example encodes a 1
in both these qubits, and so it seeks to find the solution of 1+1
. The result will be a string of two bits, which we will read out from the qubits 2 and 3. All that remains is to fill in the actual program, which lives in the blank space in the middle.
The dashed lines in the image are just to distinguish the different parts of the circuit (although they can have more interesting uses too). They are made by using the barrier
command.
The basic operations of computing are known as logic gates. We’ve already used the NOT gate, but this is not enough to make our half adder. We could only use it to manually write out the answers. But since we want the computer to do the actual computing for us, we’ll need some more powerful gates.
To see what we need, let’s take another look at what our half adder needs to do.
0+0 = 00
0+1 = 01
1+0 = 01
1+1 = 10
The rightmost bit in all four of these answers is completely determined by whether the two bits we are adding are the same or different. So for 0+0
and 1+1
, where the two bits are equal, the rightmost bit of the answer comes out 0
. For 0+1
and 1+0
, where we are adding different bit values, the rightmost bit is 1
.
To get this part of our solution correct, we need something that can figure out whether two bits are different or not. Traditionally, in the study of digital computation, this is called an XOR gate.
In quantum computers, the job of the XOR gate is done by the controlled-NOT gate. Since that's quite a long name, we usually just call it the CNOT. In Qiskit its name is cx
, which is even shorter. In circuit diagrams it is drawn as in the image below.
qc_cnot = QuantumCircuit(2)
qc_cnot.cx(0,1)
qc_cnot.draw(output='mpl')
This is applied to a pair of qubits. One acts as the control qubit (this is the one with the little dot). The other acts as the target qubit (with the big circle).
There are multiple ways to explain the effect of the CNOT. One is to say that it looks at its two input bits to see whether they are the same or different. Then it writes over the target qubit with the answer. The target becomes 0
if they are the same, and 1
if they are different.
Another way of explaining the CNOT is to say that it does a NOT on the target if the control is 1
, and does nothing otherwise. This explanation is just as valid as the previous one (in fact, it’s the one that gives the gate its name).
Try the CNOT out for yourself by trying each of the possible inputs. For example, here's a circuit that tests the CNOT with the input 01
.
qc = QuantumCircuit(2,2)
qc.x(0)
qc.cx(0,1)
qc.measure(0,0)
qc.measure(1,1)
qc.draw(output='mpl')
If you execute this circuit, you’ll find that the output is 11
. We can think of this happening because of either of the following reasons.
The CNOT calculates whether the input values are different and finds that they are, which means that it wants to output
1
. It does this by writing over the state of qubit 1 (which, remember, is on the left of the bit string), turning01
into11
.The CNOT sees that qubit 0 is in state
1
, and so applies a NOT to qubit 1. This flips the0
of qubit 1 into a1
, and so turns01
into11
.
For our half adder, we don’t want to overwrite one of our inputs. Instead, we want to write the result on a different pair of qubits. For this we can use two CNOTs.
qc_ha = QuantumCircuit(4,2)
# encode inputs in qubits 0 and 1
qc_ha.x(0) # For a=0, remove this line. For a=1, leave it.
qc_ha.x(1) # For b=0, remove this line. For b=1, leave it.
qc_ha.barrier()
# use cnots to write the XOR of the inputs on qubit 2
qc_ha.cx(0,2)
qc_ha.cx(1,2)
qc_ha.barrier()
# extract outputs
qc_ha.measure(2,0) # extract XOR value
qc_ha.measure(3,0)
qc_ha.draw(output='mpl')
We are now halfway to a fully working half adder. We just have the other bit of the output left to do: the one that will live on qubit 4.
If you look again at the four possible sums, you’ll notice that there is only one case for which this is 1
instead of 0
: 1+1
=10
. It happens only when both the bits we are adding are 1
.
To calculate this part of the output, we could just get our computer to look at whether both of the inputs are 1
. If they are — and only if they are — we need to do a NOT gate on qubit 4. That will flip it to the required value of 1
for this case only, giving us the output we need.
For this we need a new gate: like a CNOT, but controlled on two qubits instead of just one. This will perform a NOT on the target qubit only when both controls are in state 1
. This new gate is called the Toffoli. For those of you who are familiar with Boolean logic gates, it is basically an AND gate.
In Qiskit, the Toffoli is represented with the ccx
command.
qc_ha = QuantumCircuit(4,2)
# encode inputs in qubits 0 and 1
qc_ha.x(0) # For a=0, remove the this line. For a=1, leave it.
qc_ha.x(1) # For b=0, remove the this line. For b=1, leave it.
qc_ha.barrier()
# use cnots to write the XOR of the inputs on qubit 2
qc_ha.cx(0,2)
qc_ha.cx(1,2)
# use ccx to write the AND of the inputs on qubit 3
qc_ha.ccx(0,1,3)
qc_ha.barrier()
# extract outputs
qc_ha.measure(2,0) # extract XOR value
qc_ha.measure(3,1) # extract AND value
qc_ha.draw(output='mpl')
In this example we are calculating 1+1
, because the two input bits are both 1
. Let's see what we get.
counts = execute(qc_ha,Aer.get_backend('qasm_simulator')).result().get_counts()
plot_histogram(counts)
The result is 10
, which is the binary representation of the number 2. We have built a computer that can solve the famous mathematical problem of 1+1!
Now you can try it out with the other three possible inputs, and show that our algorithm gives the right results for those too.
The half adder contains everything you need for addition. With the NOT, CNOT and Toffoli gates, we can create programs that add any set of numbers of any size.
 In fact, we can even do without the CNOT, and the NOT gate is only really needed to create bits with value 1
. The Toffoli gate is essentially the atom of mathematics. It is simplest element into which every other problem-solving technique can be compiled.
As we'll see, in quantum computing we split the atom.


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This combination is ideal for exploring Computer Vision on Greengrass V2. For ease of use, an EC2 instance will serve as target device. This reduces any complexities in getting something running and can be provisioned in minutes. Sample data will be used to reduce any complexities in connecting to RTSP sources and to provide a reapeatable framework. A pre-trained GluonCV Object Detection model will be used to count people in the sample images.
Use this Combination as a baseline to validate functionality when exploring new platform choices or new models.
It is possible to use the Cloud9 EC2 instance for BOTH the development host and target device, which may simplify creation of this Combination.
Click on the buttons to setup up the Device, Acquisition, and Inference for the combination.
| Device | Acquisition | Inference |
|---|---|---|
| Cloud9/EC2 | Sample Images + Docker GStreamer | People Counter |
Be sure to adjust the configuration of the GStreamer component to read the Sample Images
Navigate to the AWS IoT Management Console and Click Greengrass and then Deployments from the left side panel.
Check the deployment for your core and click, Revise
command
amd mounts
propertis in the Configuration to merge section with a command to read from the sample data{
"mounts": "-v /tmp/data:/data -v /greengrass/v2/packages/artifacts-unarchived/com.example.sample_data/1.0.0/com.example.sample_data/frames:/frames",
"command": "multifilesrc location=\"/frames/seq_%06d.jpg\" index=1 loop=true caps=\"image/png,framerate=\\(fraction\\)12/1\" ! multifilesink location=/data/frame.jpg"
}
Click, Confirm


House in a Park / Think Architecture
- Curated by Paula Pintos
- about 11 hours
Houses Interiors · Zurich, Switzerland
- version="1.0" encoding="UTF-8"? Architects: Think Architecture
- AreaArea of this architecture projectArea: 500.0 m2
- version="1.0" encoding="UTF-8"?YearCompletion year of this architecture project Year: 2018
- version="1.0" encoding="UTF-8"?PhotographsPhotographs: Simone Bossi
- version="1.0" encoding="UTF-8"?ManufacturersBrands with products used in this architecture project Manufacturers: Airlux, Bisazza, Brun del Re, Cea design, Egli Jona AG, Gaggenau, Graphisoft SE, Herbert Maeder AG, Huber Fensterbau, Hunziker AG, Truffer Natural Stones, Wood Rangers
Text description provided by the architects. This park-like plot comprises a collection of single-story, freely arranged spaces. The individual structures are held together by a continuous roof edge, which creates a transition with the undulating roof landscape. The volumes take their inspiration and height from the natural contours of the area and integrate themselves harmoniously into the verdant environment.
This basic meandering shape disguises the actual size of the house, and its projections and recesses allow it to merge with the landscape of the surrounding parkland. All rooms have direct garden access and, depending on their aspect, attractive views of the park towards the mountain panorama or down towards the Lake Zurich basin.
At the center of the floor plan lies an atrium that provides attractive lighting and brings living nature into the heart of the house. The basement is completely below ground and is only visible near the existing supporting wall.
The building is clad with light gray natural stone facing strips. The horizontal layering of the natural stone facing strips accentuates the natural appearance of the structures emerging from the ground. The upper edge of the single-story facade is finished with a continuous band of concrete facing, which simultaneously creates a transition with the roof landscape.
Large wood and metal windows in oiled oak and anodized metal augment the architectural appearance. Occasional skylights enhance the roof landscape, generating zenithal light and an additional line of sight to the surrounding treetops.


boost::process::postream — Child process' input stream.
class postream { public: // construct/copy/destruct postream(unspecified); // public member functions void close(void) ; };
The postream class represents an input communication channel with the child process. The child process reads data from this stream and the parent process can write to it through the postream object. In other words, from the child's point of view, the communication channel is an input one, but from the parent's point of view it is an output one; hence the confusing postream name.
postream objects cannot be copied because they own the file handle they use to communicate with the child and because they buffer data that flows through the communication channel.
A postream object behaves as a std::ostream stream in all senses. The class is only provided because it must provide a method to let the caller explicitly close the communication channel.
Blocking remarks: Functions that write data to this stream can block if the associated file handle blocks during the write. As this class is used to communicate with child processes through anonymous pipes, the most typical blocking condition happens when the child is not processing the data in the pipe's system buffer. When this happens, the buffer eventually fills up and the system blocks until the reader consumes some data, leaving some new room.
| Copyright © 2006 Julio M. Merino Vidal |


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