Undergraduate Computing courses at Canterbury Christ Church University

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Earthquakes in a month (now with code)

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Earthquake Start of a project to bring in information from a website with an Application Programming Interface (API). We are going to use a modified version of "Project: Fetching Current Weather Data" from "Automate the boring stuff with Python" by Al Sweigart Instead of weather data were are collecting a month's worth of earthquake data.  What is going on below? We import libraries to deal with json, request from the server and the pandas library. [1]: ​ import json , requests import pandas as pd from pandas import json_normalize In this section we creating a string made up of the URL. Requesting the information from the site with the URL we created and pass back the information. Data comes from the US Geological survey  https://www.usgs.gov/about/about-us/who-we-are  and one of their earthquake feeds. Requesting the information from the site with the URL we created and pass back the information. Then print out what was returned. [2]: ​ url = 'https:...
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Investigating conference's nature using twitter sentiment analysis

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    Investigating the nature of the conference SocmedHE21 using sentiment analysis   Zara Sanni  Nuffield Placement Researcher     Introduction SocMedHE started in 2015 with the goal of using social media to open up more higher education learning spaces online. SocMedHE, standing for Social Media for Learning in Higher Education, is an online workshop focused on developing a social media workshop. For this investigation I am using twitter data from SocMedHE21 to investigate the nature of the conference, based in part on sentiment analysis. Sentiment analysis is also known as opinion mining, it’s a natural language processing technique used to determine whether data is positive, negative, or neutral. It’s an artificial intelligence which uses certain algorithms to categorise what a person may think about a certain topic. I will be using it on the SocMedHE21 data to see whether the conference on a whole was seen as positive or negative. ...
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Deep learning approach for real-time video streaming traffic classification

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  Title Deep learning approach for real-time video streaming traffic classification Authors Turner, S. , Al Jameel, M., Kanakis, T., Al-Sherbaz, A. and Bhaya, W. Conference 2022 International Conference on Computer Science and Software Engineering CSASE, Duhok, Kurdistan Region – Iraq Official URL https:// csase.uod.ac /#home Description Video streaming services such as Amazon Prime Video, Netflix and YouTube, continue to be of enormous demands in everyday peoples’ lives. This enticed research in new mechanisms to provide a clear image of network usage and ensure better Quality of Service (QoS) for these applications. This paper proposes an accurate video streaming traffic classification model based on deep learning (DL). We first collected a set of video traffic data from a real network. Video streaming services such as Amazon Prime Video, Netflix and YouTube, continue to be of enormous demands in everyday peoples’ lives. This enticed research in new mechanisms to provide a clear ...
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