CS-488 Nov 28 Update

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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)

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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.