388-week 5

with No Comments

I have been a little bit behind on synthesizing my articles into the annotated bibliography, I mostly have just been trying to collect more and more articles. The gesture control Idea and the educational app idea seem a little difficult to complete in a semester of work so I think I will probably continue forward with the PCG for my video game, It is something I am definitely passionate about, I cant say the say for the others.

February 20th Update

with No Comments

-I created a large variation to my algorithm that spacializes the visualization based on the ratios just intonation ratio instead of being directly correlated to the frequencies. This involved implenting a new module that calculates the just intonation ratio and scales the sine wave visuals to that.

-I created tables to use in my paper draft and started turning my outline into my draft.

CS488 Update 5 (02/20/19)

with No Comments

This week, while I was not able to work on the coding aspect to my project, I did receive a synthesizer from Professor Forrest Tobey, and have been working extensively in MaxMSP to get it to react to my program.

Also, I have been working on my paper to get it ready for the 02/25/19 deadline. 

4/20

with No Comments

I’m still trying to get the data over. I’ve been working on it for like 2 to 5 hours everyday but errors keep arriving. I’ve also researched about algorithms and have a better idea of my project scope.

2/20 update

with No Comments

I tested that the last of my dependencies is on the cluster and functional. Started implementing the second major piece of my approach, SURF. Taking a little longer than expected but not a major delay.

Changed a piece of my pipeline and created some issues. Working on fixing those, and hopefully improving the overall functionality in the process.

Capstone Progress 2/19/2019

with No Comments

Managed to have Keras, an open source network library, installed in Jupyter.

Currently focusing on building a sample neural network, adjusting the data into a format that can be used by the network, iterating on the architecture required for the Neural Network and writing a draft of the first few sections of the Capstone paper.

Weekly Progress CS388 (2/15)

with No Comments

For this week, I have been looking for research papers on the three topics that I have chose, specifically for the Text Categorization and the Air Quality Monitoring system. Two things I found out:

– Air Quality Monitoring system:There have been many research on a low-price air quality system, some of which use the same technology as I do. This gives me two advantages: First is that I can reference and study those paper for my research. Secondly, I can compare the results I made on my model with that of other researchers so that my model monitoring system would be the same as the others (which would indicate that my model is working correctly).

– Text Categorization: It has been a research and application topic for over a decade. Many researchers have made considerable amount of progress on this topic, which provides me with more insight into the way to approach, which model should I use, etc… Furthermore, I have not found any documents about the application of Text Categorization on Social Media. Therefore my application can be a newly added topic. One thing that I need to worry about is how I am able to get the post and analyze them. Also, I need a pre-classified dataset to train my model in, which I haven’t found. Other than that, I think this can be a great topic to look into.

CS488 Update 4 (02/13/19)

with No Comments

This week, I was able to realize partial spatialzation in MaxMSP using the new tool that I had found previously, HOA Library. Right now I am trying to get my object driver to work to be able to create multiple figures. Also, Forrest wanted me to map the knobs of a MIDI keyboard to Max and the patch.

388-Week 4

with No Comments

I have started collecting papers on my three ideas.

There are many different sources that have used gesture controlled navigation in the past so I think it will be hard to differentiate from them, but most of them seem to have to use another device. There are a couple that are just controlled by a camera, this would be a neat way to solve this problem, and wouldn’t require people to buy anything.

For my second Idea of PCG for my video game, I have gathered sources where people use pcg to remake games or even make new ones. None of them seem super similar to what I would like to implement. I have also found a few good overviews and lit reviews of the subject. These will come in handy.

The papers I found for my last idea, of an educational app for ultimate frisbee, mostly just include the theorys and methods for educational applications. these include apps such as duo lingo and other language learning sources. I figure a lot of this could be mapped over to any educational application. It seems like a lot of the problems in this field deal with retention.

488 Update

with No Comments

I have been trying to get the sensor to give me significant results and have had a lot of trouble with that. I mostly did research and experimentation to try and get it to work.

2/13 update of the week

with No Comments

This week I finished my implementation of the SIFT algorithm, starting to work on implementing SURF next.

Also looking ways to organize images to improve accuracy. Currently planning to get keypoints, then organize photos based on similar keypoints rather than locality.

Feb 13th update

with No Comments

This week I did the following tasks:

-Met with Dave about the structure of my outline and my experimental results section

-Met with Forrest to get feedback on my work.

-Began to work on a new variation of my algorithm based on Forrest’s feedback

-Read chapter 5 in writing for computer science

Week 3 Update

with No Comments

I have talked with Ajit about all three ideas and received some feedbacks and suggestion. Also, I have started finding research papers that are related to my ideas to read for next week.

Weekly Update (Feb 10)

with No Comments

This week I finalized the schema for the database with Ajit, and familiarized myself with the PostgreSQL commands after receiving the log in information from Craig. I faced an unexpected challenge with the ordering of the RFID device from Ebay. Instead I researched for two days and found a few other cost friendly options in the US, and have proposed to the department to purchase one of them. 

I am planning to finish all the software end of the project by the time I get my hands on the device!

388-Week 3 updates

with No Comments

I decided to pivot on my ideas a little bit because 2 of them were already solved and I didn’t feel that I had anything to add to the field. I have found papers and starting to read them on my new ideas, ideas listed below.

Idea 1 : Gesture Controlled Mouse and Keyboard

Description: The Idea is to fully replace the keyboard and mouse of a computer by using a 2D camera to track hand motions. I really like the idea of incorporating the feature of swipe to text as seen on some mobile phones, this could possibly increase typing speed. 

Idea 2 : Procedural Level generation for 2D platform game

Description: Last semester I built a Game in Unity with 2 friends, we have continued to work on our game with the intention that one day we sell it. A large part of this process will be the generation of new levels. One idea is to develop an algorithm that procedurally generates the levels. While procedurally generated games are fairly common, procedurally generated platformers are far less common. There are a few challenges involved that I think would make this interesting. 

Idea 3: Educational app for learning the rules of Ultimate Frisbee

Description: My other new idea, is to create an app that is maybe similar to other educational apps such as Duo-lingo, but with the intention of teaching the rules of ultimate frisbee. Since it is Self-refereed sport it is much more important that the players know the rules themselves. However these rules in the rule book are very wordy and hard to follow sometimes, this would provide an easily accessible way to learn the rules without having to sit down and read a book.

Weekly update 2/6

with No Comments

This week I made a first draft of an outline for the paper. Also worked on implementing the first of three algorithms I plan to use in my research, Scale Invariant Feature Transformation. While not completely finished I have most of the framework complete, and am just about where on schedule.

CS488 Update 3 (02/06/19)

with No Comments

This week offered me a chance to get into detail with spatialization libraries:

  • Jamoma – C++ and Max/MSP general purpose audio and spatialization toolset with standard interfaces, requires custom installation depending on the version of Max though. This library is needed to use most of Tom’s Max patches.
  • NASA Slab – (Older) open source project for testing spatial auditory displays, requires registration to NASA open source archive.
  • CICM Higher order ambisonics library – SuperCollider(under development), CSound, Pd, Faust, oFx, Max/MSP and C++ archive of useful ambisonics stuff, renders down to binaural well but computationally quite intensive. This library is required to use most of Tom’s Max patches.
  • Sound Field Synthesis Toolbox for MATLAB – Python version exists as well btw. Sound Field Synthesis Toolbox (SFS) for Matlab/Octave gives you the possibility to play around with sound field synthesis methods like Wave Field Synthesis (WFS), or near-field compensated Higher Order Ambisonics (NFC-HOA). There are functions to simulate monochromatic sound fields for different secondary source (loudspeaker) setups, time snapshots of full band impulses emitted by the secondary source distributions, or even generate Binaural Room Scanning (BRS) stimuli sets to simulate WFS with the SoundScape Renderer (SSR).
  • MIAP – Max/MSP objects, not spatial audio per se but pretty cool. More spatial parameter space exploration, though the binaural example is in the pack.
  • Octogris – OSX DAW 8 channel spatialization plugin
  • Spatium – Plugin (AU), Max/MSP, Standalones (OSX). Modular open source software tools for sound spatialization: renderers, interfaces, plugins, objects. Got some nice processing based physic interactions for spatial control.
  • ambiX – Ambisonics spatialization Plugin compatible with Reaper, Ardour, MaxMSP, Bidule or as standalone applications with Jack.
  • HOA – Higher Order Ambisonics (HOA) resources for Pure Data and Max from Paris Nord university.
  • ATK – Ambisonic Toolkit for Reaper and SuperCollider.
  • Sonic Architecture – resources for ambisonics in Csound and the blue environment from Jan Jacob Hofmann.
  • Iannix- a graphical open source sequencer for digital art. It requires sound making software or hardware connected to the sequencer. The sequencer sends instructions (e.g.OSC) and allows to create 2D and 3D scores programming the behavior of sliders and triggers.
  • Zirkonium – tool from zkm to spatialize music.
  • NPM – web audio classes for Ambisonic processing FOA and HOA.
  • [omnitone] (https://github.com/GoogleChrome/omnitone) – spatial audio on the web – by Google.

Adapted from: https://github.com/darkjazz/qm-spatial-audio/wiki/Open-source-free-spatialisation-tools-around-the-web


What I decided to go for was was HOA Library, because HoaLibrary is a collection of C++ and FAUST classes and objects for Max, PureData and VST destined to high order ambisonics sound reproduction. It won “Le Prix du Jeune chercheur,” awarded by the AFIM in 2013. This library is free, open-source and made available by CICM, the research center of music and computer science of the Paris 8 University. WIth using that, I know that I can make a lot of edits to it, and many people have used it in a concert or installation setting. Now that it’s decided, I can work towards the connection between MIDI and the spatialization of objects.

Topic ideas

with No Comments

Here are my ideas for topics! Another post with some cost analyses is coming soon!

Topic Name: Real-time management using Augmented Reality 

Topic Description: Examine the applications of Head-Mounted augmented reality displays such as HoloLens or Project Northstar in real-time management scenarios like Theatre Stage Management or NASA rocket launch management and implement a basic proof of concept software to eventually be used in the Theatre department as part of my Theatre Capstone.

Topic Name: Using real-time spacial mapping to improve calling for stage managers during performances

Topic Description: Examine the feasibility of using technologies such as Kinect 2.0 in the area of theatre to allow stage managers to keep better track of the positions etc of their actors, allowing them to make more accurate cue calls when their vision of the actors might be obscured, and implement a proof-of-concept application for use in my Theatre Capstone.

Topic Name: Using micro controllers to facilitate cross-device communication and control

Topic Description: Use Arduinos or Raspberry Pis to allow two or more very different devices to be controlled by another device.  For example, allow Qlab on a computer and cues on a light board to be controlled from a single application running on a different computer.  If feasible, make a proof-of-concept for use in my Theatre Capstone.

Feb 6 update

with No Comments

This week I accomplished several things:

-Reconfigured the way my patch combines matrices to avoid issues I was having w crossfade

-implenented horizontal movement after note press

-Organized parts of my project into sub-patches and cleaned up some stuff

-Implemented envelopes connected to sound and video out

-Created an outline for my paper 

CS488 Capstone

with No Comments

This week I talked to Dave about the delay on my database. I am waiting to hear back from Charlie andor Craig so I can start working on building the database and connecting the dots. Until then I have read up on some more algorithms, specifically Reddits and ELO’s. I am also writing up my outline for CS488 and cleaning up some paragraphs from last years paper.

Capstone Progress #3 2/5/2019

with No Comments

Built a prototype testing agent for the Capstone that should in theory take in a file of problem states and go through them with each Heuristic(Neural Network not yet ready) then output the solution size, number of nodes visited and number of nodes that are waiting for a visit. Haven’t gotten to properly test this one so will need to make time for that.

Tried writing a high level outline of my Capstone.

388 Week 2

with No Comments

Further deliberated on my 3 ideas, I really enjoy the idea about replacing the keyboard and mouse set up with a gesture recognition system from a 2D camera, most gesture recog systems require another device that one must buy, but cameras are already built into most things. My other favorite is the personal budgeting app, I am interested in this one because it applies to my life, It would be software that I would use to help me save money.

Weekly Update

with No Comments

This week, I finally got my own laptop so I redownloaded all the necessary software and libraries for my gesture recognition system. Using the OpenCV library in Python, I was finally able to use the camera to detect the hand by separating the background with the foreground via thresholding. Then, I used findContours to identify the hand within a region of interest (roi). Finally, I made a copy of the the frame containing the roi and displayed the video in binary black and white. My code can now detect the hand with a static background.

Weekly Update (Jan 30)

with No Comments

This week I met with Ajit and discussed some of the necessary features for the user interface that the administrator will be using. This involved seeing a list of recently checked out items, adding new objects, and adding new users. I also met with Craig and discussed the back-end work. We decided to use Django and PostgreSQL.

Capstone Progress#2 1/30/2019

with No Comments

In terms of implementation, I have created 4 different heuristics functions for my Capstone that take in a state and output a value based on how good the state is. with 4 being inadmissible. Technically 5 as 2 heuristics are additions to a single heuristic.

Modified my admissible heuristic function so it outputs a move (left=-1,right=+1,up=-4,down=+4) based on what move a search algorithm would have performed if it is was taking an action in that state.

Created my training agent function that outputs a file contains vectors of these heuristic outputs. One per state

Did some research into activation functions and Neural Network types to figure out what initial design I should go with for my Network.

January 30th Update

with No Comments

This week I worked on developing a script that takes a directory and determines if the contents are all images of the same type, and if they aren’t converts them to jpgs. I also meet with my adviser and starting working on an outline that will be due next week.

CS488 Update 2 (01/30/19)

with No Comments

This week dealt with the focus of the FFT and other conversion formulas. In recognizing that the Fast Fourier Transform is an algorithm that computes the discrete Fourier transform (DFT) of a sequence, or its inverse (IDFT), you understand how that mainly relates to Fourier analysis and converting a signal from its original domain (often time and/or space) to a representation in the frequency domain and vice versa. With my current project, I am trying to understand how this relates between the signal processing and MIDI, and how that will allow me to transfer the signals into the shapes that I will be making in Jitter and MaxMSP. In understanding the multiple ways in which the transforms work I can use the signals that I get by decomposing a sequence of values into components of different frequencies, which will then generate multiple sounds, and that hopefully can be somewhat composed into a song or piece that is made through the patch. Currently SoundStroll 2.0, but it might end up being a whole different concept and Max patch when it’s done. In understanding what changes are being made, the new product could be thought of as a completely different three-dimensional audiovisual spatialization software.  My main work has been with working to create a different audiovisual projection whilst working with MIDI and other signals to get different spatialization in MaxMSP, this was concurrently added to my paper, and it was also worked on in MaxMSP and Jitter.

January 30 Update

with No Comments

Here is what I worked on for my project this week:

-Worked with poly tool to process two simultaneous notes.

-Got it working but temporarily disabled the circle of fifths map table-Now midi messages are sent to two paths for separate notes.

-Using xfade to combine matrices is not good, colors are still evenly distributed throughout the whole matrix instead of following freq mapping.

-Patch is getting crowded need to figure out in and out tool to split up and organize project.

-Talked with Xunfei about getting Max installed on some Earlham laptops

Week 1 Ideas

with No Comments

Idea 1: Optical Character Recognition using Machine Learning

Optical character recognition is not a completely new field of research. However, with the advance of today’s technology, we can apply machine learning to optical character recognition and therefore can recognize not only the printed characters but the more difficult handwritten characters or characters from different type of documents such as certificate or receipt. With the help of OCR, a lot of human work can be reduce. I would like to research about that specific use of machine learning in OCR to handle those harder cases.

Idea 2: Disease prediction

People have always want to know their health status therefore they can prepare and take a better care of their body. It is not difficult to know a person’s current health status since he/she can just go to hospital to have a general medical check. However, people also want to know what type of disease they may have the future, this is when disease prediction using machine learning will be useful. I would like to research about this topic but the first things I found to be difficult will be how to get the appropriate the training data set.

Idea 3: Time management application

Since students sometimes need help with planning the classes and studying for exams, I want to create an application that at first can suggest the best time for students to go class or what time to study. After that, each term, the student can input how well did he/she perform on those classes/exams and from that in the next term/semester the application may suggest a more specific timetable for that specific students to have a better performance.

Week 1 Ideas

with No Comments


Topic Name: Earlham Tennis App

Developing an app to use it as a way of improvement for the tennis players. Entering data during matches to get score stats, errors and serve percentages. All this data will be stored in a database and could be accessed at any time. 

Topic Name: Box Office App

Again, develop a mobile application to manage the Earlham Box Office. Users would be able to look at the event schedule, purchase tickets. To make it efficient, the student data will have to be obtained in order to find from the directory. 

Topic Name: Sensor

If possible, make a sensor that would be attached to the tennis racquet determining how much strength is used and how many balls were hit in a span of time. This would be collected and according to the body analytics of the player, it can be determined how to improve the performance. The stats can then be seen on a web application.

CS488 Week1 Update

with No Comments

Researched how image processing works (tutorials, examples using python and open-source software OpenCV). ~20 minutes on 1/19/19, ~30 minutes on 1/21/19

Made sure all necessary software was downloaded to my computer. ~30 minutes on 1/17/19

Adjusted timeline. ~15 minutes on 1/23/19

CS 488 First Post

with No Comments

Found an advisor, and set up a meeting time to plan my project. Tested that the libraries I plan on using are available and functional on the cluster. Finally reviewed my project to make review the goals I’ve set myself are achievable and reasonable.

CS488 – Welcome Post

with No Comments

This is my first post for CS488.

  • Met with Ajit to plan the next few weeks, and decided to start the data collection this week.
  • Edited the timeline a little bit to include implementation of the project.
  • I’ve shared my box folder with Dave and Charlie and will soon be contacting Andy Moore for access to volumetric data collected by the Geology students across campus.

CS488 Update 1 (01/23/19)

with No Comments

This first week, I tried to focus my project into something tangible. Initially, I was not sure about how I wanted to go about editing and making SoundStroll 2.0, and I had talks with advisors who told me that I tried to achieve too much in a short period and that I also needed to find a focus. Interestingly enough, I think that working with and creating a bandpass filter, in addition to other improvements, can produce different effects in SoundStroll 2.0, and I’m curious to see how that might change SoundStroll 2.0, regarding effects and three-dimensional objects that are spatialized with the signals.

In understanding what needs to be done for the project, I still have many main steps:

1. Completely rehaul and add a new more advanced spatialization toolset/visualizer to work with the updated software.

2. Add vocal recognition through a speech processing patch that’s made by myself to the updated Max project and get them to work together.

3. Add new additions that track the Fourier Transforms for analysis that allow the original and added vocal recognition through a speech processing patch.

4. Make sure that vocal, MIDI, and OpenGL components are working so that objects are spatialized through vocal component or the MIDI interface.

5. Potentially add virtual reality/VR component to the project to let you traverse the world.

In finality, I want SoundStroll 2.0 to be a logical successor to its former self. SoundStroll 2.0, or the new edition that I plan to create will use Fourier Transforms for vocal recognition through a speech processing application, which can also be analyzed for more profound findings audially or mathematically in relation to sound; a different, more advanced spatialization toolset to create a scene that you can traverse; and a more connected environment to create different ways to traverse with Max for Live, Ableton Live, and Reason, which will allow new sounds and objects to be triggered and spatialized through SoundStroll 2.0.

Week 1 – Update

with No Comments

This week I looked over the specific dataset that I want to use for my project. I reached out to sources to obtain that dataset. Similarly, I read various researches and, checked existing experiments and projects to learn implementation of Convolutional Neural Network (CNN) in python using Tensorflow and Keras. Read documentations and went over tutorials to learn Tensorflow and OpenCv. Also, I setup Tensorflow in my local machine to work with OpenCv library.

Just sharing a helpful tutorial link below to understand about OpenCV

Link: https://www.lynda.com/Python-tutorials/OpenCV-Python-Developers/601786-2.html

388 week 1 – 3 ideas

with No Comments

My first idea is for a application that allows the computer to be navigated with gesture control, initial thought is to use the camera that is on almost every laptop to map the mouse pointer between say the thumb and the forefinger, and when the thumb and forefinger touch emulate a the click of the mouse. Further interface could also be implemented such as a virtual keyboard or talk to text features, basically attempting to replace a mouse and keyboard, further research needed.

My second idea is either a stand alone software or a Photoshop add on for real time pixel art animation editors. Given a sequence of images with a specified distance apart, color pallet and speed at which to move through the images, one could make a change and the animation would update real time, also allowing the change of color pallets.

My third idea is a personal budget planning and expense tracking app. I person can track what they buy by inputting the cost of an item and categorize that item falls into (possibly further subcategories for more in depth statistics) ie $16.69 on groceries on 1/21/19, $32.55 on cloths on 1/22/19 etc. One can input there salary and how much they want to not spend and the app could keep track and suggest a budget for you, give statistics about your spending patterns etc.

Week 1 update 488

with No Comments

The tangible work I have done this week on my project is finding the data sets and started setting up a work flow to automate the process. I created the connection between SQL and my simulation so that the simulation takes 2 arguments, a name of the database to store the timestamp data as well as the result data and the file path of a csv containing data. This sets up a database for the data with three tables, two of which contain results and one with the actual timestamp data. I have also started to take notes as I go so that I can refer to them when I start to write my paper.

January 23 Update

with No Comments

I have gotten off to a relatively smooth start on my project. Xunfei is going to be my adviser and I have scheduled a meeting with her for tomorrow morning. I have prepared to present on my topic in class tomorrow. The majority of my time this week I spent starting my project implementation. I am still learning how to use Max/Jitter effectively but here are some of the things I have done:

-Map color values to MIDI notes.

-Map a saw waveform function over the x axis with scale relative to note frecuency

-Make the saw function scroll horizontally at a rate relative to frequency

-Crossfade the color and waveform matrices

With all of this together, my projects output visual output represents a single note at a time. Obviously it is a pretty rough version of what I want the eventually single note visualization to look like but the foundation of representing tone through color and pitch through wave frequency is functional and has no noticeable latency between note press and display.

22/1/2019: Capstone Progress#1

with No Comments

First post of Capstone progress. First thing I did was review my Capstone proposal paper to re familiarize myself. Immediately I begun work on the work I outlined for Week 1 in my timeline.

I built a generator for random initial board states for an 11 sliding tile-puzzle. I chose to have each board state be a solved state that was then subjected to a random number of moves. This is ensure that each state is solvable without having to check first. Another choice I made was to have each state be represented as a string with each tile being represented by a hexadecimal number and position represented by its index in string.The blank space is represented by “_”. This was done because a number of states will be generated during the AI’s decision making process so the states should be as small and compact as possible.

I also started to look into the tools for creating the neural network. So far I am looking at Tensorflow, Keras in combination with Python.

Weekly Update

with No Comments

This week, I attempted to collect preliminary data, which made me realize that I would need an air compressor in order to obtain meaningful data. I added this to my proposal and made some modifications to improve it overall.

Weekly Update

with No Comments

This week after receiving feedback from Xunfei on the second draft of my paper, I updated it with respect to her comments. I also followed up with Craig; he is going to purchase the equipment early next semester.

Weekly Update Dec 5

with No Comments

Got feedback for my second draft of my proposal. Ready to make these final changes and submit on time! Started installing the dependencies so that I can get familiar with the tools I’ll be using over the break. Not planning to commit too much effort into this in the midst of finals, but will redouble my efforts after the tests are over.

Weekly update Dec 3rd

with No Comments

This week I received feedback on the second draft of my proposal from Xunfei. I spent time updating the proposal with respect to her feedback. I also met with Craig and decided on a set of RFID reader and tags. Craig is going to purchase them before the end of the semester.

CS-488 Nov 28 Update

with No Comments

This and the previous week, I spend my time trying to beat my way through a variety of problems related to one specific module of my project’s code. After talking over it with my adviser I have shifted both that piece of code and what should be taking my priority. The original model of my project was that, after the blockchain authenticated a ‘website’ so that it could access a user’s ‘cookie’ file, the functions would be passed over to the user from the website’s server to the user’s. My adviser suggested I simply change this so that the user has both the file and the functions, and that the website simply sends a signal if the blockchain transaction was approved. The actual process of the functions on the cookie file are not as important as the blockchain authentications, which is the center of the project.

The refocusing suggestion was also on everything related to my experiment, such as the details of my experimentation, and the discussion of further research. Leave it so that I have as much done as possible, with that window left for my experimental results.

Weekly Update (Nov 23)

with No Comments

This week I haven’t been able to work much because of some traveling. However, I was able to think more about my design decision including the RFID reader that I will buying. I have selected a device, and discussed with Xunfei. I am planning to meet with Craig and possibly purchase the equipment before the end of the semester.

Weekly update (Nov 17)

with No Comments

This week I received feedback from Xunfei on my initial draft of proposal. I spent the last few days thinking more about design and trying to answer some questions that Xunfei raised. I tried referring back to my sources and it has been very helpful.

Weekly Update

with No Comments

Submitted the CS second draft on Wednesday and waiting for Xunfei’s Feedback. The demo presentation went well without much questions from the audience. On working on making the poster for the presentation on Dec 5.

Weekly Update

with No Comments

I met with my mentors 3 times to discuss the proposal’s feedback and what I can do to improve it. I also reached out to some folks whose previous work could help me. I decided on my end product as a result of that. I also decided to change a few things in my project based on the feedback I got. I will start with a simpler artist style to replicate and if that goes well, I will move to the more complex one. I will also most likely change my sensor from an “air quality” to a CO sensor because that will allow me to see more variation on campus, but I will have to obtain preliminary data before I can make a final call.

November 14th Update

with No Comments

This week I did a lot of research into how jitter works and how it communicates with max and msp objects. In the process I found a few more helpful sources to replace some of the less relevant related works that I have. The past couple of days I did some programming on a max patch to familiarize myself with the basics of converting an audio signal into jitter output. I still have a lot to figure out but I was able to create a visual representation of a basic sine wave. I learned about audio sample rates and how to buffer an audio stream into a matrix.

Week before Thanksgiving update

with No Comments

A much slower week than normal, I was swamped with a number of other pre break assignments so I wasn’t able to put much work into reading or revising this week. But I was able to work on revising my introduction and related works section. The focus for the coming week will be to make any final revisions in my paper, and see if there are one or two more papers worth adding in. Found a very good paper on field work that helps establish the background for my work.

Weekly update – Rei

with No Comments

During the past week, my focus has been on:

  • Preparing for the demo.
  • Working on the second draft of the paper.
  • Manually labeling the corpus.
  • Working on getting the overlapping tests working.
  • Outlining the poster.

 

Weekly update

with No Comments

I have been reading up on documentation and research for the Leap Motion controller so that writing the code will be more easily managed in the future. I have also been updating the commented portions of my proposal, and I’m also changing certain sections so that it will make more sense with the context of the scope of my project.

Weekly Update

with No Comments

This week I worked more on my proposal after I received constructive feedback from Xunfei. I explored some of the papers further in depth to learn about how to design my project. I am also researching on what tools to buy.

Weekly Update

with No Comments

Worked on the demo presentation. Experimented with 2 datasets each taking 4 hours of run time. One observation I found is that changing the labels of the fake news changes the accuracy. It was found that detecting reliable news rather than fake news was statistically better in performance.

Week 12

with No Comments

This week I made some minor changes to the python script so now the generated file is in the right format. I also made some major changes to my paper and have an updated draft of it. Next week I’ll be able to get together a draft of my poster and then I should be pretty much set to start extending this work in my psychology capstone next semester.

Weekly update – Rei

with No Comments

During the last week, I mostly continued working on getting the exhaustive parameter search working for the classifiers. At first, I was having a few errors but in the end, I was able to get it working and get results.

Next, I worked with the Open American National Corpus. I extracted all the text files in one folder. I was able to convert those text files into a csv where each sentence is contained in one row. After that, I run a script which created two csv files: one containing sentences which can potentially contain analogies and one that potentially don’t. I have started labeling them manually.

I have also started preparing for the demo and the second draft of the paper.

November 7 Update

with No Comments

My proposal adviser will be Dave. We met last friday to talk about my project idea. one note he gave me was to be clear what parameters I will use to measure my success since my project is almost completely software designing as opposed to research. Over the next few weeks I need to revise my proposal and prototype some basic features of my audiovisual synth.

Weekly Update

with No Comments

My adviser for my project for the remainder of the semester is Charlie Peck. We met on Tuesday to discuss my weekly plan. Over the next 4 weeks I will be building the database from the source code, which includes installation of many things. I will also be doing statistical analyses over some datasets that I have yet to find in order to understand the research/ database user side of my project. I have a clear plan of my tasks that lay ahead.

Another Week Another Update

with No Comments

Found an advisor, Ajit, and scheduled a meeting. Otherwise did a second look at a couple papers I had only done a first pass on. Otherwise waiting on feedback on my first draft and spent a little time looking at some potential test data if I find myself in need of other sources.

Weekly Update

with No Comments

This week, I met with Craig, and discussed what kind of tools I need to purchase for the project, such as RFID reader and Tags.  There are many options however, I need to make sure to purchase a reader that allows backend manipulation. I am scheduling a meeting with Ajit, to discuss this further with him.

Weekly Update

with No Comments

This week

  • I met with Seth Hopper concerning light pollution on campus and different ways to measure that, so I have some ideas to test.
  • I was introduced to some of the fire department’s devices to measure air quality, which will help me improve my design to get better data.

Week 11

with No Comments

This week I re-structured things again. I decided to look into other methods of generating a visualization and decided to separate that process out from NVDA. Under this design, the developer runs NVDA with my plugin installed and that generates a text file. Then the developer navigates to my web-based visualization tool, uploads the file, and then views the generated visualization. I have a working demo of the visualization tool now, but I’m still working on ironing out some of the issues in generating the text files (specifically coming up with a method for splitting the chunks pulled out appropriately).

Weekly Update

with No Comments

The front end development part for my project is almost complete. The database setup and connection is completed. The integration of backend machine learning model with flask has worked. The flask prediction model has also been linked with the frontend. There are some issues with websites that are not blog and I am fixing the issue. Next step is to make a retrainable model.

Weekly Update

with No Comments

I read more papers where the researchers used a Leap Motion controller to recognize gestures. People use a variety of methods to classify static and dynamic gestures. One of the more frequently used methods takes advantage of a ‘Hidden Markov Model”.

Additionally, I did research on the software available for the Leap Motion controller. By the end of this week I will finalize the framework of my project.

October 31 update

with No Comments

This week I accomplished these tasks:

-found the rest of my 15 sources for my paper

-Met with Xunfei to discuss my design outline

-wrote my project proposal

-Did a second pass of a few of my papers

CS-488 Update 8

with No Comments

Worked on my final paper some more, as well as familiarizing myself with my two-node blockchain set-up. I’m still working out how to integrate my other modules into the system, particularly how to pass a function from one server to another through the chain, but I am making progress and anticipate that I will be finished with that tomorrow at the latest. I’ve taken a glance at how my poster will be set-up, but it’s been a tertiary concern for the past few days.

Weekly Update

with No Comments

This week I just worked on writing the first draft of my proposal. Found several additional papers to bring myself up to the requirement and fleshed out my idea for what I want to do in a bit more detail. The new papers provided insight on several other computer vision algorithms that I might be able to use, time allowing. Got notes and incorporated those changes into my draft. Built a diagram for my proposal.

Weekly Update

with No Comments

This past week, I did my literature review presentation and got caught up with class assignments. I also created a framework for my project and obtained the Arduino air pollution sensor I will use so I can start testing that. I did I third pass on some of my most important sources and I am 85% ready for the proposal.

Weekly update – Rei

with No Comments

For the first half of the last week, I was working on the first draft of the paper. Since then, I have been working on getting the exhaustive search working. It has been a struggle. I was trying to implement a pipeline between the classifier and feature extraction tools. However, this seems to be incompatible with data structures I have been using. As a result, I have decided to not use the pipeline, but rather do the exhaustive searches separately for the classifiers.

 

On the other hand, I have started working with the Open American National Corpus. I should have labeled data in the next two weeks at a maximum.

 

Finally, I started working on an outline for the poster.

Week 10

with No Comments

At this point, since I’m still having issues with DrawString, I decided to start looking into alternative options. My adviser recommended that I look into Tkinter again, but after some playing around with it and digging into it, I learned that Tkinter is fundamentally incompatible with NVDA because it does not produce accessible content. wxPython is often used to make NVDA-related GUIs, so I  looked into that some but I don’t think it will let me make quite what I want to, so I’ve decided to back up and change plans slightly. I’m going back to the idea of just creating a clean-as-possible transcript of what information NVDA is able to gather when it’s running and developing a script completely outside of NVDA that can take that transcript and create a visual representation from it. I’ve started working on the transcription script and will hopefully have that done by the end of the week so that over the weekend I’ll be able to get a visualization together and ready to present.

Weekly Update

with No Comments

Worked on completing the frontend. I have decided to use my local machine for hosting flask and have made progress on the backend. I still need to fix Database issues but progress this week has been significant. I have just received feedback from Xunfei on my project and will be working on it this week. A look at my front end:

Week 11 update

with No Comments

I have decided to go with the Database Akumuli. My reasoning behind this is both because of the index structure it uses along with it’s documentation. This data base clearly states in the README that it uses a combination of an LSM tree and B+ tree. These also happen to be trees that are very well researched and it is easy to become well informed about these trees. Other databases I’ve looked at, for example InfluxDB, while very well documented, uses it’s very own specific tree that was created specifically for this database. Therefore, it is more difficult to learn about it. Akumuli also has a page where it describes it’s index structure, https://akumuli.org/akumuli/2017/04/29/nbplustree/. Furthermore, I have cloned the repository and looked at the index source code. It is in C plus plus, a language I am not as familiar with, but I have used it once or twice. This code was well organized and well commented. For the index the programmers used a boost property tree. While I couldn’t find very much documentation about the property on boost, Akumuli is good at explaining the functionality of the tree. On Thursday I met with Xunfei, who gave me some helpful advice as to where to focus my efforts to be prepared for the proposal. One of these areas includes preliminary testing of the database. At this point I do not have that time at my disposal, seeing as I have just spent a lot of time and effort finding and choosing this database. This requires learning how to use the database and figuring out a testing environment along with finding datasets. Often ingesting datasets into a database can be very time consuming. However, the documentation of Akumuli does include some details and figures about it’s performance. I am in a good spot. I have a solid direction to go in. While there are still some things I need to do, I am only at the first draft stage of the proposal, so there is still time to do things and include them in my final proposal.

Weekly Update

with No Comments

I reviewed more papers over the week to get a better sense of what I would need to address in my proposal. I also met with Xunfei and discussed the structure of my project as well as how to work with some of the shortcomings of an RFID system

Weekly Update

with No Comments

Worked on the front end component of the project. With the sys admin telling me that they cannot host flask for my project. I started to look for alternatives. Heroku could not be used as it did not provide support for sci-kit the way I needed. Worked with Ajit to edit my first draft paper. Mades some figures of the architectures.

Weekly update – Rei

with No Comments

During the past week, I have mostly worked on the first draft of the paper. I did a quick review with Dave on Monday. Then, I reworked on the paper based on the suggestions from Dave.

I have also worked on the coding aspect. I am almost done with implementing the exhausting grid search for hyperparameter tuning for the classifier and the feature extraction tools. The results of the grid search should improve the overall performance of the system.

I am also close to deciding on the corpus that will be used for the experiments. Once I have that, getting the results should be relatively straightforward.

CS-488 Update 7

with No Comments

I have successfully set up a blockchain system, and run experiments to familiarize with how it works and the involved processes. My first draft of the paper is mostly complete and will be ready by the deadline tonight. It will not be a complete paper, as the evaluation and conclusion sections will be mostly empty. Advice and consultation from Ajit on the paper is making me restructure some things, and has given me a better reference point for what is required and expected. The paper right now also does not have direct citations to any of the references, as the documentation on how that part works is confusing me. I decided to move that part of the work to the second draft.

Week 9

with No Comments

I found this function to create a font and played around with it until I had a version that was recognized by the GdipDrawString function. Now I have code that compiles without errors and causes no runtime errors, but the text is still not displaying (or maybe just not displaying how & where I thought it should). So I still need to play around with that problem, but at least I know that I have found a function that produces the right type of thing to pass to GdipDrawString.

I spent quite a bit of time this week drafting my paper and sent a rough draft to my adviser Friday. He responded quickly enough that I was able to make revisions before submitting a draft for grading. Overall I’m happy with the way the paper is shaping up.

Week 10 update

with No Comments

I have been taking notes and learning about different tree indexing structures. I currently have 6 pages of notes and understand How R trees work and how X trees uses techniques from both R trees and B trees. I need to go further into detail and learn about R* tree and the X tree along with the LSW tree along with others. I have also started looking into which database to use for my project. I need a database that uses R or R* trees. I am doing this by downloading a database’s source from github and looking into the code using tools such as searches. I am starting by looking into the database InfluxDB. The documentation for this database seems adequate, so it is a good option.

Week who knows what update

with No Comments

After filtering through many different project ideas, I finally decided to create an aesthetically pleasing data visualization of pollution on Earlham’s campus. I have written a literature review of 15 sources on all of data visualizations, artistic factors that influence them, pollution health effects and awareness of them, as well as multiple projects that use Arduino to collect and display pollution data.

Weekly Update

with No Comments

This week I finished writing the literature review and looking in depth into the literature available for my two topics: RFID in library and Sentiment analysis for stock prediction. I believe I will proceed with RFID technology and research more about the resources and different components of the system.

Weekly Progress

with No Comments

Finished the machine learning pipeline with actual experimentation. Having issues getting Flask setup and have been in touch with the SysAdmins. Halfway through the first draft of the paper. Made new design for the system architecture.

week 9 update

with No Comments

I am still in the process of writing my literary reviews. I have completed one and the second I am currently outlining. I am learning a lot of new information with my new sources. Since I know which of the two topics I will be choosing, I am using the second literary review, which is on a related topic to learn more background on the general area that these two topics are in. The most challenging feat I am facing currently is accessing book sources through the ACM website.

the update for this week

with No Comments

This week I filled out the quiz and started looking into what resources I’ll need for my project, image stitching. At the least I’ll need openCV, but probably imageMagick as well. Starting to think about how I should organize my project, and looking into how easy or hard parallelizing my procedure will be. A few of the papers I read referenced open image libraries they used and I’m thinking about looking into how hard it will be to get access to those.

1 3 4 5 6 7 8 9