Blasters are such a staple to video games. Think back to space invaders, that game is almost completely just a simple blaster that moves side to side. That works great if you only want to shoot in a single direction, but what happens when you would like to aim in a full 360 degrees? Continue reading
If you remembered from my last blog, my focus in this project has recently been on figuring out a way to scrape data off of the travel websites using code instead of doing it manually since it is indeed a tedious job. Of course, while working on the code, I have also kept with the primitive collecting method since data collection is the objective of this month’s work in my project. So here’s an updated version of my data table: Continue reading
What is the best part of a game to you? The sweet end music? The awesome rewards? Well, for me, it was always power-ups, there is nothing more staple in video games than a power up. I mean, who doesn’t know what a Mario mushroom looks like by 2018? That’s what I have been working on lately, making simple power-ups that make a game feel more alive. Continue reading
After the introduction to my website last time, in this blog, I am going to redirect the focus back to the topic of plane tickets prices and the analysis of it through data science approach. Continue reading
As my class has really jumped into our work, everything has really taken off. We have jumped right in to coding and designing simple “game-like” projects. Our first being a simple maze-like machine in order to practice creating objects and effects. Effects are a lot of fun to work with, not much is quite as satisfying as creating an invisible black hole effect that sucks a marble in.
As you can see there was quite a complex system of parts that were both visible and invisible, allowing for effects that seem to appear out of thin air. This lead to quite a fun element of surprise as the marble was rolling through the maze. Though slightly challenging, that project was quite a lot of fun. Continue reading
Hey guys, welcome back! You might remember that in my last blog I mentioned a study-hall sign-in website, which is part of the main focus of my project, and I promised to come back with more details on that, so here I am. Before I dive in though, I just want to provide some quick updates on my quest for answers regarding the manipulated plane ticket prices. Continue reading
WEST CHESTER, Pennsylvania — January 31, 2018 — Today, Kevin Wang, developer of Argus and Count: A Very Simple Counter (Count), released Count 3.0 to the general public on the App Store. Originally released in 2015, Count is a simplistic and intelligent counter that allows users to count with gestures. The new Count has been completely rebuilt from the ground up and comes with new features including an improved UI, Sense, Random, and various bug fixes and stability improvements.
Usually, I begin my independent project with a blog post containing a detailed plan for the semester. This time, I feel compelled to write about an interesting experience with submitting my app to Apple’s App Store and getting it rejected twice by the App Review Board.
In my last blog post, I detailed the implementation of machine learning models in iOS applications using the Core ML and Vision frameworks. As you probably remember from the tutorial, I implemented the Inception v3 model to give the app the ability to classify 1,000 common objects in the world. While it is true that you can easily download the model from a Github repository, have you ever wonder where it came from? In this blog post, I will introduce the “brain” behind the Inception v3 model––an artificial neural network (ANN).
Recently, I have been experimenting with CoreML, the machine learning framework for Apple’s mobile and desktop operating systems. Rather than continue my discussion of linear regression, I will detail the implementation of a model with CoreML in this blog post.