Showing posts with label turner. Show all posts
Showing posts with label turner. Show all posts

Wednesday, 8 February 2017

efficient channel model evaluating NoC architectures DOI: 10.1109/SBAC-PADW.2016.23

Opoku Agyeman, M., Vien, Q.-T., Hill, G., Turner, S. J. and Mak, T. (2017) An efficient channel model for evaluating Wireless NoC architectures. In: 2016 International Symposium on Computer Architecture and High Performance Computing Workshops (SBAC-PADW). Online: IEEE. 978-1-5090-4844-1. pp. 85-90.

DOI: 10.1109/SBAC-PADW.2016.23

Abstact
Wireless Networks-on-Chip (WiNoCs) have emerged to solve the scalability and performance bottleneck of conventional wired NoC architectures. However unlike communication in the macro-world, on-chip communication poses several constraints, hence there is the need for simulation and design tools that consider the effect of the wireless channel at the nanotechnology level. In this paper, we present a parameterizable channel model for WiNoCs which takes into account practical issues and constraints of the propagation medium, such as transmission frequency, operating temperature, ambient pressure and distance between the on-chip antennas. The proposed channel model demonstrates that total path loss of the wireless channel in WiNoCs suffers from not only dielectric propagation loss (DPL) but also molecular absorption attenuation (MAA) which reduces the reliability of the system.



All views and opinions are the author's and do not necessarily reflected those of any organisation they are associated with. Twitter: @scottturneruon

Monday, 4 July 2016

What have the computing PhD students been up to Jan-Jun 2016?

Here is a collection of outputs from the University of Northampton PhD students during January- June 2016 - they have been a busy bunch.


  1. Abbas, R., Al-Sherbaz, A., Bennecer, A. and Picton, P. (2016) Development of scheduling process for the M2M communications system in smart cites. Panel Presentation presented to: School of Science and Technology Annual Research Conference, Newton Building, The University of Northampton, 02 March 2016.
  2. Al-Dabbagh, M., Al-Sherbaz, A. and Turner, S. J. (2016) Development [of] a real-time ITS using VANETs: a case study for Northampton Town. In: SAI Intelligent Systems Conference 2016. IEEE. (Accepted)
  3. Al-Rubaye, Z. (2016) Lameness detection in sheep through behavioural sensor data analysis. Poster presented to: Graduate School 11th Annual Poster Competition, The University of Northampton, 18 May 2016.
  4. Al-Rubaye, Z., Al-Sherbaz, A., McCormick, W. D. and Turner, S. J. (2016) The use of multivariable wireless sensor data to early detect lameness in sheep. Workshop presented to: School of Science and Technology Annual Research Conference, Newton Building, The University of Northampton, 02 March 2016.
  5. Al-Sadi, A., Al-Sherbaz, A., Turner, S. J. and Xue, J. (2016) The management of distributed software defined networks in smart cities. Workshop presented to: School of Science and Technology Annual Research Conference, Newton Building, The University of Northampton, 02 March 2016.
  6. Al-Sadi, A., Al-Sherbaz, A., Xue, J. and Turner, S. J. (2016) Routing algorithm optimization for Software Defined Network WAN.In: Al-Sadeq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA) - IRAQ (9-10) May. Baghdad, Iraq: IEEE. 
  7. Edan, N. M., Turner, S. J., Al-Sherbaz, A. and Ajit, S. (2016) Performance evaluation of QoS using SIP & IAX2 VVoIP protocols with CODECS. In: SAI Computing Conference 2016. London: IEEE. 9781467384605. (Accepted)
  8. Oakes, J., Johnson, M., Xue, J. and Turner, S. J. (2016) Simplified deployment of virtual machines using an intelligent design engine. In: Proceedings of Science and Information (SAI) Conference 2016. London: IEEE. 9781467384605. (Accepted)
  9. Olajubu, O., Ajit, S., Johnson, M., Turner, S. J., Thomson, S. and Edwards, M. (2016) A textual language for requirement modelling. Workshop presented to: School of Science and Technology Annual Research Conference, Newton Building, The University of Northampton, 02 March 2016.
  10. Rose, T. J. and Bakaoukas, A. G. (2016) Algorithms and approaches for procedural terrain generation. In: Proceedings of the 8th International Conference on Virtual Worlds and Games for Serious Applications. Barcelona, Spain: Institute of Electrical and Electronic Engineers. (Accepted)
If you'd like to find out more about Computing at the University of Northampton go to: www.computing.northampton.ac.uk. All views and opinions are the author's and do not necessarily reflected those of any organisation they are associated with

Thursday, 24 January 2013

STRiPe publications



A selection of 2012 relevant publications involving staff involved with the STRiPe group











Journals
  • Maunder, R., Turner, S., Sneddon, S. and Crouch, A. (2012) Editorial. Enhancing the Learner Experience in Higher Education. 4(1), pp. 1-2. 2041-3122. 
    • More details can be found here.
  • Kariyawasam K., A., Turner S., Hill G. (2012) "Is it Visual? The importance of a Problem Solving Module within a Computing course", Computer Education, Volume 10, Issue 166, May 2012, pp. 5-7, ISSN: 1672-5913. 
    • More details can be found here.
  • Hill G., Turner S. (2012) "Referencing within Code in Software Engineering Education!", Computer Education, Volume 10, Issue 166, May 2012, pp. 1-4, ISSN: 1672-5913.
    • More details can be found here.
Conference
  • Turner, S. and Al-Sherbaz, A. (2012) "What's the problem with problem-solving?" Seminar Presentation presented to: Insights into the future of learning and teaching at Northampton, University of Northampton, 3rd December 2012
    • More details can be found here.
  • Bailey D and Adams J (2012) "NORTHANTS ENGINEERING TRAINING PARTNERSHIP (NETP), A MODEL FOR SUSTAINABLE, INDUSTRY – UNIVERSITY ENGAGEMENT" International Conference on Engineering Education 2012 Turku Finland July 30 – August 3, 2012. 
    • More details can be found here.
  • Picton P (2012) "TEACHING ULTRASONICS USING SPREADSHEETS" International Conference on Engineering Education 2012 Turku Finland July 30 – August 3, 2012
    • More details can be found here.

Saturday, 10 November 2012

Lifting and elevating modelling






  • Salamaliki-Simpson R, Kaczmarczyk S, Picton P, Turner S (2006) Non-Linear Modal Interactions in a Suspension Rope System with Time-Varying Length Journal of Applied Mechanics and Materials Vol. 5-6 pp 217-224 ISSN 1660-9336
Abstract:
This paper focuses on the investigation of the autoparametric coupling effects and modal
interactions in a suspension rope system with a time varying length. Equations of motion of a
multi-degree-of-freedom discrete, non-stationary and non-linear model are presented and are used to analyze the dynamic response of an elevator suspension rope system under resonance conditions. The equations of motion involve quadratic and cubic non-linear terms which are responsible for the modal interaction between the lateral and longitudinal oscillations of the rope and the car motions. The model takes into account the periodic excitations caused by motion of the host structure. The
results confirm that adverse responses may arise and internal autoparametric resonance phenomena
may occur

http://www.scientific.net/AMM.5-6.217



  • Terumichi Y, Kaczmarczyk S, Turner S, Yoshizawa M, Ostachowicz W (2003) Modelling, Simulation and Analysis Techniques in the Prediction of Non-stationary Vibration Response of Hoist Ropes in Lift Systems Materials Science Forums Vol. 440-441 pp 497-504





http://www.scientific.net/MSF.440-441.49

Thursday, 24 March 2011

Book chapter: Problems First

Two members of the Computing Division of the University of Northampton have contributed a chapter to the book  Software Industry-Oriented Education Practices and Curriculum Development: Experiences and Lessons  edited by Drs. Matthew Hussey, Xiaofei Xu and Bing Wu.  ISBN: 978-1609607975 IGI Global to be published later this year.

Problems First

Gary Hill and Scott Turner


ABSTRACT


This chapter considers the need to focus initial programming education on problem-solving, in advance of programming syntax and software design methodology. The main vehicle for this approach is simple Lego based robots programmed in Java, followed by the programming of a graphical representation/simulation to develop programming skills. Problem solving is not trivial (Beaumont & Fox, 2003) and is an important skill, central to computing and engineering.

An approach will be considered, illustrated with a series of problem-solving tasks that increase in complexity at each stage and give the students practice in attempting problem-solving approaches, as well as assisting them to learn from their mistakes. Some of the problems include ambiguities or are purposely ill-defined, to enable the student to resolve these as part of the process.

The benefits to students will be discussed including students’ statements that this approach, using robots, provides a method to visually and physically see the outcome of a problem. In addition, students report that the method improves their satisfaction with the course.

The importance of linking the problem-solving robot activity and the programming assignment, whilst maintaining the visual nature of the problem, will be discussed, together with the comparison of this work with similar work reported by other authors relating to teaching programming using robots (Williams, 2003). 

Tuesday, 22 March 2011

PREDICTING LEATHER HANDLE LIKE AN EXPERT BY ARTIFICIAL NEURAL NETWORKS

A paper has been recently published that combines artificial intelligence and leather science research looking at modelling the subjective assessment of leather handle.

Abstract

This study developed an artificial neural network model to predict the subjective assessment of leather handle by an expert using its measurable physical characteristics. A statistical method was applied to prune the inputs of the network and the “error band” conception was proposed during training.


More details can be found at:

Wang, Y., Picton, P., Turner, S. and Attenburrow, G (2011) Predicting Leather Handle like an Expert Artificial Neural Networks, Applied Artificial Intelligence, Volume 25, Issue 2  February 2011 , pages 180 - 192 ISSN: 0883-9514 DOI:10.1080/08839514.2011.545218