10 most read posts on the blog May 2022

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  • Driver Drowsiness Detection Using Gray Wolf Optimizer Based on Face and Eye Tracking
      Driver Drowsiness Detection Using Gray Wolf Optimizer Based on Face and Eye Tracking Sarah S. Jasim Department of IT, Technical College of...
  • Young coder's Comp in Hello World Magazine
      The young coder's competition ( https://codingcompetition.org/ ) has been running for a number of years, aimed at students in Years 5-...
  • Deep learning approach for real-time video streaming traffic classification
      Title Deep learning approach for real-time video streaming traffic classification Authors Turner, S. , Al Jameel, M., Kanakis, T., Al-Sher...
  • Winners of the Young coders Competition 2021
    The Young Coder's competition goes from strength to strength with the number of entries increased by 1200%! The competition aim is to h...
  • Dr Scott Turner: Problem-solving and Programming publications
      Turner, S. J. (2018) Games in teaching programming: HE perspective. Invited Presentation presented to: Gaming in Education, Milton Keynes,...
  • Young Coder's Competition 2021 and beyond
      In the news today there have been a number of articles e.g. UK 'heading towards digital skills shortage disaster')  https://www.bb...
  • Developing conversational agents for use in criminal investigations
     Developing conversational agents for use in criminal investigations SAM HEPENSTAL, Defence Science Technology Laboratory, UK  LEISHI ZHANG,...

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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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    Hybrid WebRTC Signalling for Conferencing

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      Design and Implement A Hybrid WebRTC Signalling Mechanism for Unidirectional & Bi-directional Video Conferencing International Journal of Computer Science & Network Security Volume 24 Issue 9   /   Pages.186-194   /   2024   /   1738-7906(pISSN) doi:  10.22937/IJCSNS.2024.24.9.21 International Journal of Computer Science & Network Security (국제컴퓨터통신보호논문지학회) WebRTC (Web Real-Time Communication) is a technology that enables browser-to-browser communication. Therefore, a signalling mechanism must be negotiated to create a connection between peers. The main aim of this paper is to create and implement a WebRTC hybrid signalling mechanism named (WebNSM) for video conferencing based on the Socket.io (API) mechanism. WebNSM was designed over different topologies such as simplex, star and mesh. Therefore it offers several communications at the same time such as one-to-one (unidirectional/bidirectional), one-to-many (unidirectional) and many-t...
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    Unveiling Pollution Peaks: Comparing Swarm Intelligence with Drone Hill Climber

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      Unveiling Pollution Peaks: Comparing Swarm Intelligence with Drone Hill Climber September 2024 DOI:  10.1109/SISY62279.2024.10737602 Conference: 2024 IEEE 22nd Jubilee International Symposium on Intelligent Systems and Informatics (SISY) Produce using ChatGPT Abstract: Climate Change has become an accelerating problem in recent years due to pollutants like greenhouse gases , with carbon dioxide being the most prominent. Similarly in time, works on the application and development of swarm intelligence using drones , along with the use of drones to monitor air pollution / source discovery, have been carried out in isolation to date. This paper presents an investigation to discover multiple pollution sources using a variety of existing swarm intelligence algorithms, through simulated drones. This paper also presents a bespoke Drone Hill Climber (DHC) algorithm that introduces the novel of multiple drones each flying on their own set paths, with the aim of finding multiple p...
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