Skip to content

Latest commit

 

History

History
180 lines (107 loc) · 5.04 KB

LOG.md

File metadata and controls

180 lines (107 loc) · 5.04 KB
Raw

Week 1 (2023-11-03 to 2023-11-10)

Meetings

  • Initial Meeting with Project Supervisor: Acquired initial tasks and resources.
  • Next Team Meeting: Scheduled for Thursday.

Tasks Assigned

  • Read and summarize provided articles: Churakov et al., Ren et al. (1 and 2).
  • Begin the process of converting MATLAB code to Python.

Resources Provided

  • churakov_etal.pdf
  • Ren_etal1.pdf
  • Ren_etal2.pdf
  • KenisMatlabCode.txt (MATLAB code)
  • FA_20191115T000000UTC.csv (Data set)

Progress

  • Established a Slack server for team communication.
  • Created GitHub repository, accessible at: Computational Science Project Course.
  • Began preliminary review of the data set (FA_20191115T000000UTC.csv).
  • Started reading the provided articles.

Issues

  • No issues encountered to date.

Next Steps

  • Finalize the summaries of the provided articles.
  • Start exploring the data set to understand its structure and content.
  • Develop an initial plan for translating 'KenisMatlabCode.txt' to Python.

Task Division

  • Sajad: Summarize churakov_etal.pdf and begin MATLAB to Python code conversion.
  • Rabia: Summarize Ren_etal1.pdf and Ren_etal2.pdf, assist with data set exploration.

Week 2 (2023-11-10 to 2023-11-17)

Meetings

  • Upcoming Team Meeting: Scheduled for November 15th.

Tasks Completed

  • Completed reading and summarizing 'churakov_etal.pdf', 'Ren_etal1.pdf', and 'Ren_etal2.pdf'.
  • Successfully converted 'KenisMatlabCode.txt' from MATLAB to Python.
  • Fully utilized GitHub repository and Slack server for project communication.

Next Steps

  • Analyze 'FA_20191115T000000UTC.csv' data set for cow velocity distributions.
  • Identify normal and abnormal cow velocity patterns.

Issues

  • No new issues encountered.

Task Division

  • Sajad: Lead data set analysis for velocity distributions.
  • Rabia: Assist in data analysis, focus on identifying velocity patterns.

Week 3 (2023-11-17 to 2023-11-24)

Meetings

  • Group Meeting: Presented progress and results, received feedback from other groups.
  • Upcoming Meeting with Lars: Scheduled for November 23th.

Tasks Completed

  • Analyzed 'FA_20191115T000000UTC.csv' for cow velocity distributions.
  • Identified normal and abnormal cow velocity patterns.
  • Reviewed feedback from group presentations.

Next Steps

  • Incorporate feedback into our analysis and project approach.
  • Prepare for the meeting with Lars to discuss progress and next steps.

Issues

  • No new issues encountered.

Task Division

  • Sajad and Rabia: Both to review feedback and prepare for the upcoming meeting with Lars.

Week 4 (2023-11-24 to 2023-12-1)

Meetings

  • Group Meeting: Presented progress and results, received feedback from Lars.
  • Upcoming Meeting with Moudud: Scheduled for November 30th.

Tasks Completed

  • Analyzed 'FA_20191115T000000UTC.csv' for cow acceleration distributions.
  • Identified normal and abnormal cow acceleration patterns.

Next Steps

  • Incorporate feedback into our analysis and project approach,work on normal/abnormal angles, initiate working on report.
  • Prepare for the meeting with Moudud to discuss progress and next steps.

Issues

  • No new issues encountered.

Task Division

  • Sajad: Analyze given data on bigger scale, report and prepare upcoming meeting.
  • Rabia: normal/abnormal angles, report and prepare upcoming meeting.

Week 5 (2023-12-1 to 2023-12-8)

Meetings

  • Mandatory Lectures (3): Attended three mandatory lectures covering key aspects of the project.
  • Group Meeting on Wednesday: Presented our progress and received feedback.
  • Meeting with Moudud on Thursday: Discussed project details and received guidance.

Tasks Assigned

  • Sajad: Display the cleaned data on the barn and detect the stationary tags to remove them.
  • Rabia: Implement our solution on a larger data set.

Progress

  • Ongoing efforts to clean and refine the data set.
  • Preparations for implementing the solution on a larger scale.

Issues

  • No new issues encountered.

Next Steps

  • Enhance the data cleaning process to efficiently detect stationary tags.
  • Begin implementing the solution on a larger data set and analyze its effectiveness.

Task Division

  • Sajad: Focus on data cleaning and detection of stationary tags.
  • Rabia: Work on scaling up the solution to a larger data set.

Week 6 (2023-12-8 to 2023-12-15)

Meetings

  • Meeting with Stefan: Oral Presentation and received feedback on Wednesday.

Tasks Completed

  • Tested and benchmarked our code on a larger data set.
  • Displayed our results on the barn.

Progress

  • Successfully executed and evaluated the code on an expanded data set.
  • Prepared and refined visuals for presentation on the barn.

Issues

  • No major issues encountered.

Next Steps

  • Start drafting the initial version of the project report.
  • Prepare for the upcoming group meeting with Lars on December 15th.

Task Division

  • Both team members: Collaborate on drafting the report and refining the presentation for the next group meeting.