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UKSim2020 |
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UKSim-AMSS 22nd International Conference on
Modelling & Simulation Cambridge University (Emmanuel
College), 25 - 27 March 2020 View proceedings in IEEE Xplore Digital Library: UKSim2008,
UKSim2009,
UKSim2010,
UKSim2011,
UKSim2012,
UKSim2013,
UKSim2014
(also in ACM Digital Library: UKSim2014), UKSim2015,
UKSim2016,
UKSim2017,
UKSim2018,
UKSim2019-IJSSST Download the Call for
Papers file |
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Call for Papers Paper Submission Registration Venue/Rooms Social Events
Submission: See above Notification Paper: from 1 Feb Final
Upload into EDAS for checking & Registration (Payment): 15
March Credit Card on EDAS Camera-ready Conference
Chair: Taha Osman Honorary
Conference/Programme Chair: Athanasios Pantelous,
University of Liverpool, UK Local
Arrangements/ Venue
Chairs: Glenn Jenkins, Tim Bashford General Chair: Publication
Research Editor: Zuwairie Ibrahim Honorary
General Co-Chair: Frank Wang EUROSIM
Liaison Chair Taha Osman |
Papers
submission Extended deadline: 1 March 2020 (EDAS stays open for few more days
for late papers) Special theme this year: Modelling and Simulation of Climate Change, see https://www.climateprediction.net/ UKSim2019: Photos, Papers Published, Program, Opening
Session Conference venue and accommodation: Emmanuel College, St Andrews Street,
Cambridge, CB2 3AP. Other
accommodation in Cambridge |
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Presentations: Papers
by Track, click on EDAS paper ID Papers
published in UKSim2020-IJSSST
Papers going to Publication - If your paper is
not showing below it means EDAS has not received the registration fee. If you
intend to pay the fee soon contact the general chair on david.al-dabass@ntu.ac.uk
immediately. - Due to the
increasing threat of spreading the corona virus, the conference has
regrettably been cancelled. All registered papers, and those awaiting
registration, will go to publication exactly as planned and made accessible
from this website. All PowerPoint files, including keynote speakers, will be
made accessible from this website, see below for missing PPT files. If your
file is not listed kindly upload it ASAP and inform the general chair
immediately to link it to the website.
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Papers are invited on any aspect of
modelling and simulation to be presented at UKSim2020, University of
Cambridge (Emmanuel College). The accommodation, renowned catering and
conference facilities are an ideal blend of modern and historic. The venue
offers an especially attractive opportunity for both professional discussion
and socialising. Full Papers (six pages with figures), and short papers (4 pages with
figures) are invited on any aspect of modelling, simulation and their
applications. Papers on the theme of Climate change are especially welcome. Tracks/Themes - Intelligent Systems - Hybrid Intelligent Systems - Soft Computing and Hybrid Soft Computing - Computational Intelligence - Systems Intelligence - Intelligence Systems - Control of Intelligent Systems - Control Intelligence - e-Science and e-Systems - Robotics, Cybernetics, Engineering, Manufacturing and Control - Methodologies, Tools and Operations Research - Bio-informatics and Bio-Medical Simulation - Discrete Event and Real Time Systems - Image, Speech and Signal Processing - Natural Language Processing/language technologies - Computer Generated Art (images to be exhibited at the conference
and included in the proceedings CD) - Industry, Business and Management - Human Factors and Social Issues - Energy, Power Generation and Distribution - Transport, Logistics, Harbour, Shipping and Marine Simulation - Supply Chain Management - Virtual Reality, Visualization and Computer Games - Parallel and Distributed Architectures and Systems - Internet Modelling, Semantic Web and Ontologies - Mobile/Ad hoc wireless networks, mobicast,
sensor placement, target tracking - Performance Engineering of Computer & Communication Systems - Circuits, Sensors and Devices Suggested topics (other topics are
also welcome): Simulation methodology and practice, languages, tools and
techniques. Models and modelling tools. Data/object bases. Analytical and
statistical tools. Simulators and simulation hardware, training simulators.
Integration of simulation with concurrent engineering, integrated design and
simulation systems. AI, intelligent systems, agent-based simulation, decision
support systems, philosophical issues, analogies, metaphors, knowledge
modelling, acquisition and synthesis of new knowledge/models,
intelligent/adaptive behaviour, man/machine interaction, control systems.
Parallel and distributed simulation, discrete event systems. Artificial
neural networks, computational intelligence. Applications: aerospace; remote
sensing; electronic circuits and systems; communication and networks;
business; management; finance; economics; leisure, games,
war/conflict/rebellion modelling; psychology, cognitive functions, behaviour,
emotion, subjectivity; humanities, literature, semantics modelling/dynamics;
biology; medicine; public health; energy, power generation and distribution,
manufacturing; planning; control; robotics; measurement; monitoring; energy;
safety critica1 systems; transportation; structural mechanics and civil
engineering, oil and gas; education and training; military. Exhibitors: manufacturers of
software and hardware, publishers, etc., are invited to apply to exhibit
their products. The registration fee is $595. This will include a copy of the
proceedings, refreshments and lunches. IEEE members get 5% cash discount at
the conference after presenting their paper and the opportunity to a apply to
a limited number of bursaries for partial support of travel expenses to
attend the conference to present the paper. Accommodation in
College:
graduates from Cambridge colleges go on to become leading world scientists,
prime ministers, parliamentarians and top civil servants. Share the
experience of living-in by staying in college rooms. Full-board 3-day package
is available for $630, and $690 en-suite, single
occupancy. This includes a meal on the evening before the conference, all
meals/conference dinner on day 1 and day 2 (including conference pre-dinner
reception), and breakfast and lunch on day 3. For those wishing to take
evening meal outside, a Bed & Breakfast 3 day package is available at
$490 single occupancy, or $170 per night. Booking and pre-payment is
essential, see EDAS Registration. Submission
Guidelines You are invited to submit: - computer generated art, submit title and
abstract on EDAS as a normal paper then upload the image pdf file only as the
Full paper - proposal
to organize a technical session and/or workshop. Submissions must be
original, unpublished work containing new and interesting results that
demonstrate current research in all areas of modelling and simulation and
their applications in science, technology, business and commerce. The
conference is supported/co-sponsored by - Nottingham Trent
University, UK - Cardiff Metropolitan
University, Wales, UK - University of Wales Trinity Saint David, Wales, UK. - University of Stavanger, Norway. - University
of Kent in Canterbury, UK
- Aberystwyth University, Wales, UK. - European Simulation
Federation, EUROSIM - European Council for
Modelling and Simulation, ECMS Submission implies the
willingness of at least one of the authors to register and present the paper.
All papers are to be submitted electronically,- see
full instructions under Paper
Submission below, in PDF or
Word format. All papers and artwork will be peer reviewed by at least three
independent referees of the international program committee. Paper Submission: the conference is using EDAS for submission,
reviews and registration, authors need to: - create an account with
EDAS (if not already have one) at edas.info - open the list of
conferences managed by EDAS & find UKSim2020 - click on Submit button on
the right to enter your paper title & abstract - upload file. Paper Templates: Word template (MS Word .doc format) Conference website: http://uksim2020.info Student Members Travel Grants: a limited number of travel bursaries are available
for partial support of travel expenses to attend the conference to present
the paper, contact the general chair david.al-dabass@ntu.ac.uk Papers must not suffer from one or more of the following problems: 1. Below average
English, 2. Excessive
number of citations to the authors own work in References, 3. Little
interaction with simulation and computing, 4. Not within
the conference scope. ** ** ** |
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IPC Kai
Juslin (SIMS) Esko Juuso (SIMS) Khalid
Al-Begain (UKSim) Rashid Mehmood (UKSim) Gaius Mulley (UKSim) Miroslav
Snorek (CSSS) Andras Javor (HSS) Franco Maceri (ISCS) Peter Schwartz (ASIM) Charles Patchett (BAE, Warton) Henri Pierreval (FRANCOSIM) Kambiz Badie (Iran) Yuri Merkuryev
(Latvia) Zulkarnay
Zakaria (Malaysia) Frank Wang (UK) |
Gaby Neumann (ASIM) Hosam Faiq (Malaysia) Hissam Tawfik (UK) Azian
Azamimi Abdullah (Malaysia) Sanjay Chaudhary (India) Arijit
Bhattacharya (Ireland) Atulya
Nagar (UK) Gregorio Romero (Spain) Kenneth Nwizege
(UK) Kathy Garden (NZ) M Luisa Martinez (Spain) Giuseppe De Francesco (Ireland) Jerry John Kponyo
(Ghana) Maurizio Naldi
(Italy) Qiang
Shen (UK) |
Suiping
Zhou (Singapore) Mikulas Alexik
(CSSS) Borut Zupancic
(SLOSIM) Igor Skrjanc
(SLOSIM) Wan Hussain Wan Ishak (Malaysia) Nitin Nitin (India) Ford Gaol (Indonesia) Glenn Jenkins (UKSim) Martin
Tunnicliffe (UK) David
Murray-Smith (UKSim) Mahdi
Mahfouf (UKSim) Emelio Jimenez Macias (SPAIN) Danilo
Pelusi (Italy) |
Vlatko Ceric Theodoros
Kostis (Greece) Russell
Cheng (UKSim) Miguel
Angel Piera (Spain) Antonio
Guasch (Spain) David
Al-Dabass (UKSim) Jadranka Bozikov
(CROSSIM) Felix Breitenecker (Austria, ASIM, SNE) Majida Alasady (Tikrit) Eduard Babulak (USA) Siegfried Wassertheurer (Germany, ASIM) Valentina Colla
(Italy) Marco Vannucci
(Italy) |
Wolfgang Wiechert (ASIM) Janos Sebestyen-Janosy (Hungary, HSS) Olaf
Ruhle (ASIM) Zuwairie Ibrahim (Malaysia) Marius
Radulescu (ROMSIM) Leon
Bobrowski (PSCS) Mojca Indihar Stemberger
(Slovenia) Rosni Abdulla (Malaysia) Vesna Bosilj-Vuksic
(Croatia) Roland
Wertz (Germany) Andrejs Romanovs (Latvia) S. Wassertheurer (Germany, ASIM) |
Norlaili Safri
(Malaysia) Nikolaos
V. Karadimas (Greece) Afrand Agah (USA) Piers Campbell (UAE) Fabian Bottinger (Germany) K.G. Subramanian (Malaysia) |
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Registration: Only one
method of payment is available on EDAS: Credit Card:
payment is accepted online and confirmation is instant. Here is
the procedure: 1. go to
EDAS at http://edas.info and click on Register yellow
tab at the top, a list of conferences will appear 2.
Scroll down to conference name (e.g. UKSim2020) line and click on the extreme
right green money symbol
at the end of this line, a new page will appear 3. click on the extreme right button (Trolley symbol) after
USD $595, a new table will immediately appear under a new line Registered,
but no paid. 4. Under
this table a list of credit card symbols and SWIFT. Click on the credit card
symbol. 5. A new page will
appear, enter all card details, scroll down to the bottom and click Pay for
Registration 6. REMEMBER: NO payment received
by the set deadline means your paper will Not be in the Proceedings. If you have problems
meeting this deadline email david.al-dabass@ntu.ac.uk immediately. Best
wishes and look forward to meeting you at the conference. Conference
Chairs. |
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Special Theme Keynote
Speaker, Day2/3 Using Citizen
Science to Study Extreme Weather Around the Globe Dr Sarah Sparrow University of Oxford e-Research Centre Department of Engineering Science. Email: sarah.sparrow@oerc.ox.ac.uk Abstract Climateprediction.net (CPDN) is a citizen science
project where idle time on peoples home computers is
used to perform climate model simulations. This enables generation of very
large ensembles of climate model data that would otherwise be too expensive
to run. These large ensembles enable quantitative risk assessments to be made
of the change in likelihood and potential impacts of different types of
extreme weather events. This talk will give an overview of the projects we
are currently involved with ranging from limiting global warming to 1.5C as
set out by the Paris Agreement to the economic impact of bark beetle
infestation in the Pacific North West. Currently most CPDN simulations are
performed using the weather@home model where a
coarse resolution Met Office global atmospheric model drives a higher
resolution regional model. Recently, two new models have been introduced into
the CPDN platform. The first of these is a Met Office global atmospheric
model running at a resolution similar to other state-of-the art systems
(~60km in middle latitudes). This is sufficient to simulate extratropical
synoptic features such as storms well and reduces the need for regional
downscaling. The second new model is the European Centre for Medium Range
Weather Forecasts (ECMWF) portable research version of its integrated
forecast model, OpenIFS. In the OpenIFS@home
project, the enormous volunteer computing resource will be utilised to study
the predictability of weather forecasts and test the sensitivity of the
forecasts to physical parameter choices in the model. In planning for future climate
resilience, it is necessary to understand quantitatively the likely future
change in impactful extreme weather events. To study such events large
ensembles, ideally of more than one model, are needed to produce robust
scientific results. This in turn presents new challenges to the scientific
community on how to generate, store, access and process the associated data.
The citizen science approach provides a method to address the first of these
areas subject to certain operational constraints, but the community must come
together to address the latter challenges effectively. Brief Bio Dr
Sparrow is the programme co-ordinator for the climateprediction.net distributive computing project at the University of
Oxford e-Research Centre within the department of Engineering Science and
deputy director of the Energy Systems MSc course. She holds a doctorate in
atmospheric physics from the University of Oxford, following which she worked
in the IT industry on business management systems and as a post-doctoral
research scientist looking at drivers of atmospheric variability. Whilst
working at the Environmental Change Institute as a scientist for climateprediction.net, she was involved with
near real-time attribution of human influences on extreme weather events
using the weather@home system, and establishing how
large ensembles of climate models can be used to identify new model
configurations that are capable of capturing recent climate. She has also
applied model enhancements (in collaboration with the Met Office) to allow
different vegetative model configurations for a project looking at forest
dieback in the north western United States. Leading projects on Brahmaputra flooding, Amazon Wildfires and the
impacts of climate change on cultural heritage, she is experienced in the
diverse way that large ensemble experiments can be applied. Recently she has
been involved in enabling two new model configurations to run under the
distributive computing framework; namely a high global resolution version of
the Met Office Hadley Centre model HadAM4 and the European Centre for Medium
Range Weather Forecasts (ECMWF) OpenIFS model. Dr
Sparrow also tutors at international workshops and summer schools on extreme
event attribution and global teleconnections. |
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Tutorial GPenSIM: A New Tool for Modelling and Performance Analysis of Large
Industrial Discrete-Event Systems Professor Dr
Reggie Davidrajuh Department of Electrical
Engineering and Computer Science University of Stavanger,
Norway. Email:
reggie.davidrajuh@uis.no Abstract Modelling, simulation and performance analysis of
discrete-event systems is an important activity in many branches of
engineering, especially in computer science, industrial engineering, and
production engineering. If the system under scrutiny is driven by discrete
events (i.e. discrete-event systems), then the mathematical tools such as
Petri Nets, Max-Plus algebra, Automata, and Markov chains, can be used for
the development of more useful mathematical models. By running simulations of
these models, we can analyse the performance of these systems, and hence
propose performance improvements for these systems. At the University of Stavanger, Norway, a tool
known as General Purpose Petri Net Simulator (GPenSIM)
was developed for modelling and simulation of large-scale real-life
industrial discrete-event systems. Some major industrial problems in diverse
fields were solved using this tool. For example, airport capacity evaluation
for the aviation authority, locating and resolving bottlenecks in the fish
supply chain, scheduling the drilling processes in the oil and gas industry,
optimal scheduling of jobs in grid computing, etc. Some universities around
the world are also using GPenSIM for their research
on discrete-event systems. In this tutorial: Firstly, an overview of the
projects carried out using GPenSIM will be
presented. Secondly, the design and implementation of GPenSIM
will be presented. Thirdly, some of the important features of GPenSIM (e.g., the abstraction of resources,
modularization, and parallel execution of modules) will be explained. These
features help the modelling of large and complex discrete-event systems. Biography Professor Reggie Davidrajuh received a Masters
Degree in Control Systems Engineering and a PhD in Industrial Engineering,
both from the Norwegian University of Science and Technology (NTNU). He also
received a DSc (habilitation degree) from the AGH University of Science and
Technology, Poland. He is now a professor of Informatics at the department of
Electrical Engineering and Computer Science, the University of Stavanger,
Norway. His current research interests are discrete-event dynamic systems,
modelling, simulation and performance analysis, algorithms, and graph theory.
He is a senior member of IEEE and a Fellow of British Computer Society. He is
also a member of the Norwegian Academy of Technological Sciences (NTVA). |
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Deep Learning
& Brain-Inspired AI2.0
Professor
Frank Wang
Head of School of Computing, University of Kent
Canterbury, UK
Chair, IEEE Computer Society, UKRI Chapter
Email: frankwang@ieee.org
Abstract
Deep
learning was inspired by the 1981 Nobel Prize work by David H. Hubel & Torsten Wiesel, who found a cascading model in the human
brain. We are building an intelligent machine that works similarly to the
human brain. Most of previous efforts to build brain-like machines have
failed because it took about the same silicon area to emulate a CMOS synapse
as that needed to emulate a neuron. In theory, any realistic implementation
of a synapse should ideally be at least four orders of magnitude smaller than
that required to build a neuron. The invention of the memristor
opens a new way to implement synapses. A memristor
is a simple 2-terminal element, which means a vast number of memristors could be integrated together with other CMOS
elements, in a brain-like machine. Biography
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Keynote
Speaker-2 To be
Confirmed: The Design And Role Of Simulated Environments In Evaluating New
Design Concepts Professor Gareth Loudon Cardiff School of Art and Design,
Cardiff Metropolitan University Email: gloudon@cardiffmet.ac.uk Abstract The user testing of a new design concept and
prototype is an important part of the design process to help discover if and
why certain aspects of a new design do not fully meet the needs and
satisfaction of target users - and to help find out what needs to be changed.
However, how user testing is conducted is also an important factor to
consider, as context can play a part in the insights gained. Testing in a
traditional laboratory environment provides control, confidentiality, and
ease of conducting repeatable tests, but often does not discover all key
design flaws as some flaws are only revealed when a prototype is tested in the
real context of use. However, testing a new design prototype in a real
context, during the design and development process, is often impossible - for
example, the design of a new surgical medical device for use in an operating
theatre. To address these challenges we have developed a new
laboratory, called the Perceptual Experience Laboratory (PEL), which enables
the evaluation of new design concepts in a simulated environment. The aim is
to have the advantages of laboratory based testing, but also to consider the
importance of context. PEL uses a mixed reality approach to simulate context,
combining a 200 deg
panoramic visual surround screen with physical objects. In addition, it
simulates context through the use of artificially generated smells,
temperature control and 3D ambisonics to try and
create a sense of immersion and presence. The talk will share details on
design features of PEL; lessons learnt so far in terms of key design features
affecting feelings of immersion and presence; and how the simulated
environment has already helped in the new design and evaluation of products. Biography Gareth Loudon is a
Professor of Creativity at the Cardiff School of Art and Design, Cardiff
Metropolitan University and one of the co-founders of the Human-Centred Design
research group at the university. He is also co-founder and Director of the Centre for Creativity
Ltd that undertakes research, training and consultancy in key areas of
creativity. Gareths
research interests focus on creativity and the innovation process, combining
ideas from anthropology and psychology, engineering and
design. Previously he worked for Apple Research and Ericsson Research in
the design and development of new software and computer embedded products.
Gareth has over 30 years of experience in academic and industrial research
and has taken several research ideas all the way through to commercial
products for companies, including Apple. He has also helped many
companies with their innovation strategies and in the development of new products
and services. Gareth has several patents to his name
and over 70 publications in total. He has won many awards including Best
Software Product Award at COMDEX Asia, and for his concept design work from
IDSA/BusinessWeek. Gareth is a Chartered Engineer, a Fellow of the
Institution of Engineering and Technology and a Fellow of the Higher
Education Academy. |
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Keynote
Speaker-3, Day-3 Dynamic Knowledge Interpolation and its
Application to Network Security Professor Qiang Shen Pro Vice-Chancellor for
Business and Physical Sciences Aberystwyth University,
Wales, UK. Email: qqs@aber.ac.uk Abstract Application
of fuzzy rule-based interpolation (FRI) has been escalating for making
intelligent systems viable in solving many challenging real-world problems.
However, requirements of such systems may change over time and the supporting
static rule models may not be able to provide accurate interpolation results
in the long run. Dynamic fuzzy rule interpolation (D-FRI) offers a potential
solution to such problems. A particular application is for network security
that is often one of the biggest concerns of any organization irrespective of
their size and nature of business. Intrusion
detection systems (IDSs) are a popular and effective security tool for
generating alerts to network administrators, in order to inform against
possible or existing threats. A standard IDS may be not very effective or
even unsuitable for an organizational requirements over a sustained period.
This talk will present an application of D-FRI for building an effective IDS.
In particular, it will introduce an intelligent IDS that is built upon the
most popular open source IDS, Snort via integration with D-FRI. The talk will
illustrate how the integration of D-FRI with Snort provides an additional
level of intelligence in predicting possible threats. This integration also
facilitates dynamic modelling, in terms of a dynamic fuzzy rule base, by
promoting new rules based on the current network traffic conditions, helping
Snort to reduce both false positives and false negatives. The talk will also
cover other applications of D-FRI in network security and thoughts for
further development. Biography Professor Qiang Shen received a PhD in Knowledge-Based Systems and
a DSc in Computational Intelligence. He holds the Established Chair of
Computer Science and is a Pro Vice-Chancellor at Aberystwyth University. He
is a Fellow of the Learned Society of Wales and a UK Research Excellence
Framework (2008-2014 and 2014-2021) panel member (for Computer Science and
Informatics). He has been a long-serving Associate Editor or Editorial Board
member of many leading international journals (e.g., IEEE Transactions on
Cybernetics and IEEE Transactions on Fuzzy Systems), and has chaired and
given keynotes at numerous international conferences. Professor
Shen current research interests include: computational intelligence, learning
and reasoning under uncertainty, pattern recognition, data modelling and
analysis, and their applications for intelligent decision support (e.g.,
space exploration, crime detection, consumer profiling, systems monitoring,
and medical diagnosis). He has authored 2 research monographs and over 400
peer-reviewed papers, including an award-winning IEEE Outstanding
Transactions paper. He has served as the first supervisor of more than 60
PDRAs/PhDs, including one UK Distinguished Dissertation Award winner.
Professor Shen is a London 2012 Olympic Torch Relay torchbearer, nominated to
carry the Olympic torch in celebration of the centenary of Alan Turing. |
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