Weekly Progress CS388 (2/15)
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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.

Week 3 Update
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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.

Topic ideas
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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.

Week 1 Ideas
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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
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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.

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