3D printer

Imagine having the ability to digitally create 3D models in your computer, and from the comfort of your house, being able to materialize them just a few hours later. Yes, it is possible and it is called 3D printing. It might seem, totally like a new technology, but in fact, it is relatively old, in reality the first 3D printer was invented in 1983 by Chuck Hull and since then,  has been revolutionizing the way of creating tools and objects. The manufacturing business have been benefited greatly, because their processes have been made faster and more efficient. Nowadays, it is fairly easy to get your 3D models printed, there are places and websites that offer 3D printing services, it also possible to buy a relatively cheap one for home use. The 3D printers support a wide-range of materials that can be used to print the models, such as specific types of plastic,  Nylon and various filaments. The 3D printing filaments are threadlike materials that mimic the feeling and look of various surfaces such as, wood, metal, carbon fiber and many, many more.

It sounds fun, how do I begin? Well, in the first place you will require a 3D printer, but more important than that you need a 3D model preferably in .STL format. There are many ways to get 3D models ready to print, you could buy them off websites, download them for free off the internet or make yourself your very own 3D models. Yes, there exist many capables and free softwares, in which printable 3D models can be made, the two most popular options are SketchUp and Blender. Most home 3D printers only take a few minutes to a few hours to print any object, the more complex the object is the longer it will take. The way that objects are printed is by layering, basically the printer divides the object in many layers, which slowly completes and unifies along the process of printing. Since 3D printing is such an advantageous ability to possess, many companies utilize the technology to print many things, such as tools, toys, prosthetics, food, clothes, jewellery, guns, drugs, even skin, bones and houses. One of the most desired things in the 3D printing world, are human organs. Many scienciest envision the ability of being able to 3D print a human heart or any other organ needed to save a live. Many lives are facilitated and many could be saved thanks to 3D printing. Our future will certainly be brighter if 3D printing is endorsed, taught and funded.

Sources:

https://www.tomsguide.com/us/3d-printing-materials,news-24392.html

https://www.simplify3d.com/support/materials-guide/

History of 3D Printing: It’s Older Than You Are (That Is, If You’re Under 30)

 

Animation: A jumping cat

<html>
<head>
<title> Jumping cat </title>
<link rel=”stylesheet” href=”style”>
</head>

<body>
<div id=”jump”></div>
<div id=”road”></div>

</body>
</html>

<style>
body {
background-color: white;
}
#road{
border-bottom: 7px dashed pink;
}
#jump{
background:url(“https://images-wixmp-ed30a86b8c4ca887773594c2.wixmp.com/f/b26d165b-6da1-417f-9291-a35aede94ce2/d586e2s-731073d8-d7d9-4966-b51e-da10e21d2d80.jpg?token=eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJzdWIiOiJ1cm46YXBwOjdlMGQxODg5ODIyNjQzNzNhNWYwZDQxNWVhMGQyNmUwIiwiaXNzIjoidXJuOmFwcDo3ZTBkMTg4OTgyMjY0MzczYTVmMGQ0MTVlYTBkMjZlMCIsIm9iaiI6W1t7InBhdGgiOiJcL2ZcL2IyNmQxNjViLTZkYTEtNDE3Zi05MjkxLWEzNWFlZGU5NGNlMlwvZDU4NmUycy03MzEwNzNkOC1kN2Q5LTQ5NjYtYjUxZS1kYTEwZTIxZDJkODAuanBnIn1dXSwiYXVkIjpbInVybjpzZXJ2aWNlOmZpbGUuZG93bmxvYWQiXX0.GKZN72iPyVfRvDeyEuRRrfQt10fkeHnE1Eeu4Q8RaaU”);

width: 59.75px;
height: 86px;
object-position: center;
animation: jump 1s steps(4) infinite,
forward 5s linear infinite;
}

@keyframes jump{
100%{
background-position: 0px;
}
0%{
background-position: 239px;
}
}

@keyframes forward{
100%{
transform:tranlateX(-100px);

}

0%{transform:translateX(229px);
}

}
</style>

Video Compression Problems

Reasons for Compression issues:

Main reason is the bitrate, the higher the bitrate the higher the quality of the video. Youtube compresses videos to accommodate everyone, the more users you are trying to accommodate to while streaming with good quality to over to 100m of people, a gigabyte per second has to be sent to the wire for each person.

Essay related to Digital Media

COMD 1112 Sec. D112
Prof. Tracie Schaeffer
Friday 8:00am – 11:20am
Jennie Zhu Pan

In Modern Times, Seeing Is Not Believing; Deepfakes

Is your motto in life, “seeing is believing”? If so, you might be in big trouble. Nowadays,
it is firmly praised our ability to create content, and being able to share it, to literally, the whole world. This contemporary ability is an incredibly powerful double-edged sword while being able to promptly and effortlessly share educational videos, images, and texts, is it indeed advantageous. However, this immense sharing ability it quickly becomes dangerous if it is used to spread misinformation or fakes. In 2017, a new type of software became widely available on the internet, a software capable of swapping extremely well people’s faces using machine learning. The name of this program is FakeApp and its users have the ability to create very convincing videos without the need of having programming language skills or knowledge. The amount of threat that this new technology opposes to the masses is extremely large because it strongly challenges our ability to distinguish reality and questions the legitimacy of digital media sources.

The very infamous software is called FakeApp, but how does it work? First, we need to understand how face detection technology works. For the past decades, cameras have had some kind of real-time face detection algorithm, which can recognize people faces using light and shadows to recognize a face, and FakeApp is a program that uses images to create videos, using machine learning and face recognition technology. The program uses images of faces as database (the images that can be automatically downloaded by the program, using image search engines such as google, bing, and duckduckgo), after the images are collected of the program is to find a face in the image, and for this it turns the images in black and white to reduce the amount of information that the image has for easier lightning pattern recognition, if the image is black and white it is easier for the program to figure out which pixel in the image is darker compared to the surrounding pixels. By using this previous method, it facilitates the process of finding the pattern of a face and hence a face. After the program has obtained the model of the faces then the program uses them to create the fake models in the video via trial and error using machine learning and neural networks (Raval). The program is able to detect when the face model was erroneously placed, again by comparing the lightning patterns and since the software can teach itself in how to correctly superimpose the images, based on all the samples collected with enough time and many tries, you will have very fake and convincing video.

This technology at some point was inevitable, however, the problem is how widely available and how easy it is to use. Many public figures and singers have already been a victim of this technology. Faces of famous public figures have been swapped into pornographic videos in very convincing ways, and these videos are literally undetectable to the untrained eye, some early victims were Daisy Ridley, Gal Gadot, Scarlett Johansson, and Taylor Swift and their videos quickly went viral, if powerful and famous are not able to prevent it, imagine your own face being posted onto the web on a fake video, the FakeApp was also used to create vast amounts of revenge porn, imagine that you are able to create and share a fake pornographic video, that looks real and very convincing of someone you despise or hold a grudge against of. Obtaining the images would not be a problem since you could easily extract them from their social media (DeFranco). According to Eric Goldman, a law professor at Santa Clara University, the law won’t be able to help the victims since United States privacy laws do not apply to the fake videos, taking the videos down could be acknowledged as a prohibition or censorship (Farokhmanesh). In order to remove or take down a swap-face video off the internet is to either claim defamation or copyright, but they do not have a guaranteed path of success, because none of those apply into these fake videos, even if other laws can apply none of them can fully cover the creation of fake pornographic videos, because those fake videos were not copied from anywhere besides taking and using someone else’s face that can count as a mask on someone who was willing to publish their body on the internet, it all count as a “creation” and “art”. Nevertheless, many websites have completely banned deepfakes including, Reddit, Twitter, and Pornhub (Ellis).
Although public figures’ faces are placed into pornography, it is indeed worrying and a serious issue, but it is not as severe as politicians, or people that hold a strong position of power being used to create those type of fake videos, in which they say or do very outrageous things. It also opens the door to the other extreme, where people with strong positions of power, get caught in video and strongly deny the video evidence against them, arguing that it is a fake video. That is terrible because it can be the beginning of the truth getting buried and the end of the targeted person as a victim. Not many people have awareness regarding this type of software or technology, meaning that many could be easily fooled by these types of videos and honestly, nobody can blame them if they’re not aware of this technology. Sharing these type of videos can have huge and lifetime repercussions, and be very damaging to the victims, but even more to societies, which can be easily locked in a consistent stream of fake media.
Experts have relentlessly worked against deepfakes, and a possible solution to recognize them is by analysing the blinking pattern of the subject, according to Siwei Lyu one of the flaws of a fake video is that in many cases it can be detected if it is fake by the way the person in the video is blinking, in many videos the blinking seems unnatural and in some looks artificial. There are even some videos in which, the person doesn’t even blink once while talking. Which is a huge flaw, because a person’s average blinking rate is one per 2 to 10 seconds, and a single blinking takes between 0.1 and 0.4 of a second when a person is talking. Blinking patterns are key to recognize if the video is a fake or not, and the knowledge of not believing everything that is presented to you.

In the world of social media, people should start to think carefully before posting something on the internet, because there is no remedy or magic that could delete the existence of something that has been uploaded to the internet, once it is on the internet it would always be on the internet, and deepfake is sure going to keep developing its machine learning technology, where we would not be able to notice the differences and that would be scary, lies and conflicts caused by fake videos will be swimming around the internet and the ultimate truth of things that we see with the eye, might be buried forever.

Works Cited

Ellis, Emma Grey. “Yes, People Can Put Your Face on Porn. No, the Law Can’t Help You.”
Wired, Conde Nast, 26 Jan. 2018, www.wired.com/story/face-swap-porn-legal-limbo/.

DeFranco, Philip. “Well… I Don’t Know What’s Real Anymore. DeepFakes and FakeApp Usher
In New Age Of Fakes.” YouTube, YouTube, 31 Jan. 2018, www.youtube.com/watch?v=Uivy6vnP2B0. 3 Mar. 2019.

Lyu, Siwei. “The Best Defense against Deepfake AI Might Be . . . Blinking.” Fast Company,
Fast Company, 3 Aug. 2018,
www.fastcompany.com/90230076/the-best-defense-against-deepfakes-ai-might-be-blinki
ng. 3 Mar. 2019.

Baker, Henry, and Christian Capestany. “It’s Getting Harder to Spot a Deep Fake Video.”
YouTube, Bloomberg, 27 Sept. 2018, www.youtube.com/watch?v=gLoI9hAX9dw. 3 Mar.
2019.

Raval, Siraj. “DeepFakes Explained.” YouTube, YouTube, 2 Feb. 2018,
www.youtube.com/watch?v=7XchCsYtYMQ. 3 Mar. 2019.

Farokhmanesh, Megan. “Is It Legal to Swap Someone’s Face into Porn without Consent?” The
Verge, The Verge, 30 Jan. 2018,
www.theverge.com/2018/1/30/16945494/deepfakes-porn-face-swap-legal. 3 Mar. 2019.

My favorite movies list

<html>
<head>

<title>My favorite movies</title>

<h1><center><u>This is a list of my favorite movies:</u></center></h1>

</head>

<body>

<ol>

<li>1. Harry Potter1</li>

<li>2. Harry Potter2</li>

<li>3. Harry Potter3</li>

<li>4. Harry Potter4</li>

</ol>

<br>

<p>I <bold>really</bold> like these movies!!!</p>

</body>

</html>

COMD 2330 D362: Digital Photography I (Assignment #1)

#1

I was in website that was assigned and saw a weeding picture by “Jerry Ghionis: Wedding Photography” that caught my eye, so I went through his website and picked this picture.

I think this is a good one because Jerry used the rule of thirds which focus the statue and the couple. It has leading lines in the picture which attracts attention because the picture is like a bit slanted and not the usual straight picture. Figure to ground because even though the background is a dark color and the subjects are wearing black clothes, the lights that are around them makes the couple stand out.

 

Credit: resource link

Journal Entry #28

I was creating this with the elements that crossed my mind at that moment, which were: Layering and transparency, visual hierarchy, scale and a bit of movement, and hue was just part of the project, I just kind of went with the flow creating my composition hope it doesn’t look to simple or anything. I thought this was going to be a tough course I did not know what was graphic design, I thought it was drawing on the computer course but it wasn’t at all. Either way this course was kind of fun and interesting and to be honest, I learned a lot of word/elements definitions and my craftsmanship improved at the end of this course with Professor Larisa Daiga. Thank you professor you rock!