Notes on codes, projects and everything
We were asked to develop a program that demonstrate Artificial Intelligence and apply what we had learned in class into the program. Then we came out with an idea to develop a program that is able to do tarot reading. At first the program did not have a GUI and is operated through Swi-Prolog interpreter but in the end we included a GUI-frontend for the program using XPCE.
First the program will require 3 random numbers from the user, then a random number will be generated as the seed. Then the card will be “shuffled” (in fact, we did some calculations to the user provided random numbers) and then determine the orientation of the card (normal and reversed). Then, we use the computed number to pick a tarot card and get the reading based on the orientation.
To shuffle the cards, we use a random number and place the random number into the formula such that $$c=x^y\text{ mod }23$$ where c is the corresponding card number, x is the user provided number and y is the system generated random number. Then the orientation of the card is determine by calculating the mod 2 of the random number.
To implement simple search strategy, we used a hash function to divide the total of 22 major arcana cards into 5 groups. Each group will have one individual database file storing the card characteristics and reading. Then, depending on the calculated number, the system will choose to query which database file to decrease the inclusion of database files. We may not be able to observe the performance enhancement as we only have 5 database files but it should be more obvious for system with more database files.
I am the developer for the GUI front-end. At first we planned to write the GUI using other languages/platforms but because of the time constraint we decided to give up on GUI front-end. However, I managed to pick up basic XPCE GUI construction just in time and made a GUI for the program. However, the GUI is not very friendly and is not able to display images. Because XPCE is a multi-platform supported toolkit therefore the appearance of the GUI is consistent in various supported operating system.
The program is reading input through prolog interpreter.
The program displays the result after computing the input.
The program is reading input through GUI
The program displays the result through the GUI
After a miserable trip back to academic world, I finally re-gained the courage to get back to job-market. For the time spent in university, I spent quite some time reading about Semantic Web and RDF. Then I thought, I should have published more in this format in future. However, that didn’t really happen, mostly because I am too lazy.
Recently I switched my search code to Annoy because the input dataset is huge (7.5mil records with 20k dictionary count). It wasn’t without issues though, however I would probably talk about it next time. In order to figure out what each parameters meant, I spent some time watching through the talk given by the author @fulhack.
So apparently Annoy is now splitting points by using the centroids of 2 means clustering. It is claimed that it provides better results for ANN search, however, how does this impact regression? Purely out of curiosity, I plugged a new point splitting function and generated a new set of points.
(more…)While the previous file structure works well, I decided to tune some details before deploying the latest WordPress release. Besides that, I also started a new theme development project after my last theme which was developed more than 2 years ago. Thankfully, everything seems to work so far.
A few years ago, I was asked to build a game or simulation (alongside 2048) as a part of a job application. Being very impressed with Explorable Explanations, I implemented Conway’s Game of life with Javascript and jQuery (that was before ES6 became popular). Then I made a very simple grid maker jQuery plugin to dynamically generate a grid of divs. If you check the source code, you may realize I rely on Underscore.js a lot back then.
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