Wednesday 28 July 2021

Most read posts in July 2021 on this blog

 


Friday 23 July 2021

Added to the National Teaching Repository: REFERENCING WITHIN CODE IN SOFTWARE ENGINEERING EDUCATION

 Citation: Turner, Scott; Hill, Gary (2021): REFERENCING WITHIN CODE IN SOFTWARE ENGINEERING EDUCATION. Edge Hill University. Conference contribution. https://doi.org/10.25416/NTR.14907891.v1 

Link: https://figshare.edgehill.ac.uk/articles/conference_contribution/REFERENCING_WITHIN_CODE_IN_SOFTWARE_ENGINEERING_EDUCATION/14907891



One of the authors now works for Canterbury Christ Church University @CanterburyCCUni

Abstract:

Traditionally computer sciences courses will assess software code. It is common and accepted good practice (as in written reports) to reference other sources of appropriate material. However, there appears to be no explicit method, recommendation or advice available to computer science tutors and students on a referencing approach! This paper aims to stimulate discussion from peers involved in software engineering education. By discussing the apparent lack of ‘referencing within code’ advice to students and proposing suggestions for appropriate solutions. This will be based on the authors’ experience of assessing code and the current advice given to their students

Friday 16 July 2021

Using digital technologies to provide a sense of normality

 


Title

Using digital technologies to provide a sense of normality
Authors
Keywords
Covid-19
Remote working
Work from home
Technology adoption
Year
2020



Gareth Ward looks at how universities and businesses have adapted to an online culture.

https://blogs.canterbury.ac.uk/expertcomment/using-digital-technologies-to-provide-a-sense-of-normality/.





Since the initial lockdown in March 2020, the UK has experienced significant change in how working from home has been viewed as a society, with the realisation that many roles are able to still create value without the need to be tied to working in an office environment.

Security vulnerabilities of popular smart home appliances

 




Chapter title

Security vulnerabilities of popular smart home appliances
Abstract

A Smart Home essentially is a communication
network that connects smart devices, sensors and actuators
enabling the owner to locally and remotely access, monitor and control them. However, SHs are currently facing increasing challenges due to the underlying home automation systems which are affected by network security issues. This paper presents a SH testbed comprising SH devices that employ the IEEE 802.11 standard protocol for communication.
Comprehensive tests were conducted with an aim to observe and
understand vulnerabilities that exist in smart device networks when they are attacked using different types of attacks such as Eavesdropping, Denial of Service (DoS), and Man-In-The-Middle (MITM). This paper reports and discusses the findings obtained from these experiments.

Keywords
Smart homes
Device vulnerabilities
Smart home testbed
Eavesdropping
DoS & MITM attacks
Year
2021
Book title
Proceeding of The Twentieth International Conference on Networks April 18, 2021 to April 22, 2021 - Porto, Portugal
Number of pages
6
ISBN
978-1-61208-837-2

Brain Control Interface and a Robotic Arm

 



Title

BCI controlled robotic arm as assistance to the rehabilitation of neurologically disabled patients
Authors
Description

This presentation summarises the development of a portable and cost-efficient BCI controlled assistive technology using a non-invasive BCI headset 'OpenBCI' and an open source robotic arm, U-Arm, to accomplish tasks related to rehabilitation, such as access to resources, adaptability or home use. The resulting system used a combination of EEG and EMG sensor readings to control the arm, which could perform a number of different tasks such as picking/placing objects or assist users in eating.

Link: https://researchspace.canterbury.ac.uk/8x91v/bci-controlled-robotic-arm-as-as


Purpose: Brain–computer interface (BCI)-controlled assistive robotic systems have been developed with increasing success with the aim to rehabilitation of patients after brain injury to increase independence and quality of life. While such systems may use surgically implanted invasive sensors, non-invasive alternatives can be better suited due to the ease of use, reduced cost, improvements in accuracy and reliability with the advancement of the technology and practicality of use. The consumer-grade BCI devices are often capable of integrating multiple types of signals, including Electroencephalogram (EEG) and Electromyogram (EMG) signals. 


Materials and Methods: This talk summarizes the development of a portable and cost-efficient BCIcontrolled assistive technology using a non-invasive BCI headset “OpenBCI” and an open source robotic arm, U-Arm, to accomplish tasks related to rehabilitation, such as access to resources, adaptability or home use. The resulting system used a combination of EEG and EMG sensor readings to control the arm. To avoid risks of injury while the device is being used in clinical settings, appropriate measures were incorporated into the software control of the arm. A short survey was used following the system usability scale (SUS), to measure the usability of the technology to be trialled in clinical settings. 


Results: From the experimental results, it was found that EMG is a very reliable method for assistive technology control, provided that the user specific EMG calibration is done. With the EEG, even though the results were promising, due to insufficient detection of the signal, the controller was not adequate to be used within a neurorehabilitation environment. The survey indicated that the usability of the system is not a barrier for moving the system into clinical trials. 


Implication on rehabilitation For the rehabilitation of patients suffering from neurological disabilities (particularly those suffering from varying degrees of paralysis), it is necessary to develop technology that bypasses the limitations of their condition. For example, if a patient is unable to walk due to the unresponsiveness in their motor neurons, technology can be developed that used an alternate input to move an exoskeleton, which enables the patient to walk again with the assistance of the exoskeleton. This talk summarises the development of a portable and cost-efficient BCI controlled assistive technology using a non-invasive BCI headset “OpenBCI” and an open source robotic arm, U-Arm, to accomplish tasks related to rehabilitation, such as access to resources, adaptability or home use. The resulting system used a combination of EEG and EMG sensor readings to control the arm, which could perform a number of different tasks such as picking/placing objects or assist users in eating. 



Reference: 1. Anthony Casey, Hannan Azhar, Marek Grzes & Mohamed Sakel (2019) BCI controlled robotic arm as assistance to the rehabilitation of neurologically disabled patients, Journal of Disability and Rehabilitation: Assistive Technology, Taylor and Francis, DOI: 10.1080/17483107.2019.1683239

Monday 12 July 2021

Work and PhD -Come and join the Canterbury team

 


University Teaching Instructors

 
Location:Canterbury

Salary
:£27,511 - £30,046 per annum (pro rata for part time staff)

Job reference
:REQ02047

Application closing date
:26/07/2021

To gain further details about this post please visit our Vacancies page: https://www.canterbury.ac.uk/vacancies/vacancies.aspx

 

Please note, Canterbury Christ Church University reserve the right to bring the closing date of this position forward where a high volume of applications are received. 

 

For posts of this nature you will be required to fill in the main details section as well as upload your CV, covering letter and any supporting documents.

If you require further information regarding the application process please contact the Recruitment Team at hr.recruitment@canterbury.ac.uk quoting reference number REQ02047.

Why everyone should learn a bit about Machine Learning : Conference keynote

 

Why everyone should learn a bit about Machine Learning

Conference keynote


Turner, S. 2020. Why everyone should learn a bit about Machine Learning.





AuthorsTurner, S.
TypeConference keynote
Description

Discussion on why more people should learn about Machine Learning.

KeywordsMachine learning; Society; Artificial intelligence; Impact
Year2020
Conference4th International Conference, NTICT 2020 Baghdad, Iraq, June 15, 2020
Official URLhttp://www.uoitc.edu.iq/ntict2019/home.html
Related URLhttps://youtu.be/EZAf6GS1G0M
File
License
File Access Level
Open
Publication process dates
Deposited12 Jul 2021



Monday 5 July 2021

Added to the National Teaching Repository - Free Augmented Reality

  



The National Teaching Repository https://ntrepository.wordpress.com/home/ based at Edge Hill University was set up to provide a resource for sharing teaching resources.

Members of Canterbury Christ Church University play a role in the curation process.



Also available in Canterbury Christ Church University's Repository https://repository.canterbury.ac.uk/item/8y228/free-augmented-reality 


 All opinions in this blog are the Author's and should not in any way be seen as reflecting the views of any organisation the Author has any association with. Twitter @scottturneruon

Friday 2 July 2021

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 help address the distinct lack of coding skills in the population, and to encourage children to consider Computing and IT as a career,

.The theme was ‘Keeping yourself, and others, safe'


Background on the Competition

The Competition team is made up of

  • Worshipful Company of Information Technologists (WCIT), 
  • Leicestershire Education Business Company 
  • STEMHub South East,
  • Cranfield University
  • Canterbury Christ Church  University
  •  The University of Northampton

Objectives of Coding Competition

The objectives for the competition are:

1. Run a successful competition which has the ability and commitment to expand each year

2. Encourage primary schools to learn the right IT skills including coding correctly

3. Promote the skill of problem solving

4. Improve the IT skills of teachers and assistants in schools and clubs




Winning Teams and a chance to play their games

Team 1:  

School: St Johns CofE Primary School

Team Name: The Screaming Llamas

Game: Fire Safety maze The link is https://scratch.mit.edu/projects/533718307



Team 2 


School: Tiptree Heath Primary School

Winning Game: Dodge the coronavirus, hit the hand wash, sanitiser and mask to earn an extra life. The link is: https://scratch.mit.edu/projects/535271755



Team 3



School: Aberdour Preparatory School

Team Name: S&A Coders

Winning Game: The secret magic control agency of internet safety link is: https://scratch.mit.edu/projects/528454492




So the future:

Watch out for the next competition!



Trustworthy Insights: A Novel Multi-Tier Explainable framework for ambient assisted living

  Trustworthy Insights: A Novel Multi-Tier Explainable framework for ambient assisted living Kasirajan, M., Azhar, H. and Turner, S. 2023.  ...