Text to Word Search!

Try it out for free here!

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THE PROBLEM

Word searches can be a great way to build a summary activity for reading a story, article, or book. However, they are time consuming and difficult to make.

THE SOLUTION

text2wordsearch uses the Rapid Automatic Keyword Extraction (RAKE) algorithm to automatically extract the top key words from a blob of text! Simply copy the text from the article or story and choose how many words you want in your word search. Then copy the word search into your favorite word processor (be sure to use a monospace font!). The keywords selected are found in the bottom box.

The technical details are that this uses an AWS Lambda function to run the RAKE algorithm and generate the word search, ingesting the text from the web interface above which is deployed on AWS API Gateway. The Lambda function is written in Python and leverages two excellent packages: python-rake and word-search-puzzle. Because it is a Lambda function they had to be installed to a directory and uploaded as part of a zip bundle along with my function code. This zip is included in the repo linked below for you to deploy and play with yourselves!

SHARING THE SOLUTION

Try it for free here!

As always, the code is available to browse and deploy yourselves!

FreeDisplay – Share your screen with everyone on your local network for free!

COVID-19 is taxing our internet infrastructure, and many stuck at home are struggling with tasks where it would be useful to share one’s screen with others, such as teaching from home, sharing content with someone without handing them your device and getting it contaminated, or monitoring what is happening on a home computer in real time.

FreeDisplay is a free open-source program written in Python that allows you to share your screen with anyone on your local network, such as your home Wi-Fi network. It creates a QR code other can scan for easy sharing and serves a simple webpage with a mirror of your screen so that any device with a web browser can easily view your screen! Use it for home teaching, sharing content without handing someone your device, presentations, monitoring activity on your home computer and more. Download for free here: https://kevinl95.github.io/freedisplay/

As always, the code is open-source and can be viewed here: https://github.com/kevinl95/freedisplay

DIY WiFi Smartbulb Classroom Sound Meter

This is an exciting new project I’ve been working on to use off-the-shelf smart lightbulbs to make an inexpensive and automatic classroom management gadget. Using a bit of Node I was able to get the noise level of a classroom and translate it into a color for a connected smart lightbulb, from green to red as the classroom gets louder! Inspired by the ‘traffic light’ noise warning gadgets I see in classrooms, this one is fully automatic. There are no switches to throw- just set the maximum volume in the free software and the lightbulb will change color on its own!

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Screenshot of the GUI. The program is an Electron application, and I have applied a material design stylesheet.

The software can be downloaded for free for Windows PCs here!

Works with MagicHome brand smart lightbulbs, such as these which are known to work:

MagicLight WiFi Smart Light Bulb, 2nd Generation Dimmable Multicolor A19 E26 Household LED Bulb

MagicLight Smart WiFi Alexa Light Bulb, A19 7w (60w Equivalent)

As always, this program is open source! Click here to view the code on GitHub!

Roller Coaster Tycoon Ride Ratings IRL

Do you remember playing Roller Coaster Tycoon, the famous amusement park simulation game that shattered sales records and that remains one of the most beloved computer games of all time? I do, and I also remember the most important part of building any roller coaster in the game – testing. While it may seem mundane to someone who has never played, testing was how you figured out if your ride was going to make any money. The game would give your ride a score in three categories- excitement, intensity, and nausea. The goal was to maximize excitement, keep intensity reasonable, and keep nausea minimal. Largely this score was determined by the g-forces your ride produced. High g-forces could mean high excitement or it could mean people are too afraid to go on your ride. These ratings each varied from ‘low’ to ‘ultra-extreme’- both being scores you generally wanted to avoid. ‘Medium’ and ‘High’ were the sweet spot (except for nausea of course, which you always wanted ‘low’) and if you started to edge into ‘Very-high’ intensity you would start to see a drop in ridership, and thus revenue.

G-force relates the acceleration produced by something to the gravitational pull of the Earth. Most roller coasters pull at most 5G’s, or 5 times Earth’s gravity. They only do this briefly though- on big hills or tight turns. The Space Shuttle, for example, pulled 3Gs on reentry and sustained them longer – amusement park goers are clearly not astronauts! Big drops, lots of inversions, intense helixes, and lots of air-time (or negative Gs, where you feel like you are floating out of your seat) are what sell big rides. While real coaster designers don’t use the Roller Coaster Tycoon rating system to determine if their ride is any good they surely have the same design philosophy- be exciting, be intense but not too intense, and make sure the poor teenagers running the thing aren’t scrubbing vomit off the seat every time people get off. I hypothesized most rides, if they were in the game, would probably fall in the ‘Medium’ to ‘High’ intensity and excitement scores. Fortunately we now all carry around an accelerometer in our pockets built right into our smart phones so we can find out for ourselves!

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This diagram shows how the accelerometer maps to the G’s measured by the Roller Coaster Test Meter.

The above diagram shows the axes I chose so that your phone could measure acceleration while resting safely in a zipped or sealed pocket while you rode a roller coaster. Vertical Gs are along your phone’s x-axis while lateral G’s are measured along your phone’s z-axis. This assumes that you put your phone into your pocket with your screen facing to your left and top-first, by convention.

The game’s formulas for computing the ratings for each ride were somewhat mysterious until the OpenRCT2 project published their open-source code and formulas. We knew for years that primarily the g-forces the ride produced made up the bulk of the score, and other features like theming, dueling trains, and music among other things also contributed. There are also unique multipliers for each ride that come into play.

I am simply trying to build a toy however that you can turn on, throw in a pocket, and share with your friends so I avoided the design route of asking you a whole survey about the ride’s features before you get on. Instead I went a different route to produce a set of formulas that roughly approximate that in the game regardless of what kind of roller coaster you are on, mystery multiples and all, by comparing the scores of real roller coasters to those in the game. Fortunately this summer I have had access to a roller coaster that was in the game and that I could ride in real life- a ‘boomerang’! These roller coasters are everywhere, as they have a small footprint and low cost that makes them perfect for parks wanting to add a coaster on a small budget. The model in the game is ‘Defibrillator’ and it can be found in the ‘Funtopia’ scenario of the original game.

So, readers, I rode it just for you! Just kidding- I am obsessed with roller coasters and the fact that I needed to ride one to complete this project was no coincidence. I started building a prototype of my app using Ionic and Apache Cordova, which would enable me to release my app for you on either Android or iOS without needing to rewrite any of my code. There are excellent tools for making a fun UI (I tried to keep the colors and theming true to the original game) and you can import great packages for social sharing and interfacing with the accelerometer. I ran my app and saved the base score using the basic formulas from OpenRCT2 with no multiples. I then tested for the scores for ‘Defibrillator’ in the game, computed my multiples empirically to scale my ratings appropriately, and voila! We now get scores we would expect if real coasters were in the game!

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My Boomerang test ride with raw (unscaled) scores reported at the bottom.

Additionally I wanted to provide you with the raw data that went into your scores, just like the game. I used the awesome Chart.js library to plot the vertical and lateral G-forces live for you right on the screen, letting you have a nice plot of the forces experienced on the ride once you’re done:

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Here are a few scores from my recent trip to Cedar Point and Kings Island in Ohio:

It is amazing fun- my favorite highlights are the legendary The Beast having an appropriate intensity of ‘Very-high’ and the crowd-favorite Maverick having excitement at ‘Very-high’. I even rode the new Steel Vengeance– just look at those vertical G’s! Simply download the app from Google Play or Apple App Store, insert the phone top-first and screen facing left into a pocket, and hang on tight! Obviously follow any rules about loose articles (they are there for a reason) but generally as long as you have a pocket that can be sealed this is a fun way to rate coasters, plot their g-forces, and brag to your friends about how you pulled 5G’s on Steel Vengeance this summer. Once you hit the ‘end’ button hit ‘share’ and post the scores to social media, then hit ‘clear’ and enter the next coaster’s name before going and conquering it. Have fun and make good choices!

Download on Google Play

Download on the Apple App Store