Download Ph. D RESEARCH PROPOSAL BY EWUNONU, TOOCHI CHIMA.

Ph. D RESEARCH PROPOSAL
BY
EWUNONU, TOOCHI CHIMA. B. Eng. (Nigeria, 2007), M. Eng.
(FUTO, 2014)
PROGRAMME: Ph. D
DEPARTMENT: Electronics and Computer Engineering, Nnamdi Azikiwe
University, Awka.
RESEARCH AREA: Energy Optimisation in Fibre Optics Network.
PROPOSED TOPIC: Neural Network for Predictive Energy Efficient - Future
Optical Network.
RESEARCH BACKGROUND
The continuous advancement in semiconductor technology and microelectronics has
enabled and sustained the miniaturization of equipments and their deployment in
energy and cost efficient optical nodes. At the hub of this, lies the Optical Networks,
which have sustained its promise as an evolving technology with various potentials to
revolutionise our everyday life. It continues also to derive applications in so many
areas of which many are yet to be envisioned.
A “fibre optic node” is basically an inexpensive incorporation of a broadband optical
receiver, which converts the downstream optically modulated signal coming from the
hub to an electrical signal,( systematically combined and mostly remotely applied)
with the aim of relaying signals (information), that can be further processed for
specific purposes. “Neural networks” stemming its analogy from the biological
neuron, is an artificial intelligence technology comprising primarily of mathematical
compositions of simple functions that can together be trained to respond correctly to
stimuli. It is fast gaining applications as a standalone technology or incorporation
because of some of its desirable attributes which include: Pattern Classification,
Learning
Information
and
Generalization
Processing,
Optimisation and Control.
Ability,
Function
Adaptation,
Approximation,
Clustering/Classification,
Prediction/Forecasting,
The similarities and perhaps dissimilarities between Optical Networks and Neural
Networks have continued to inspire researchers to seek ways to exploit the attributes of
these great technologies into combined and formidable systems that can derive diverse
applications.
RESEARCH AND TECHNICAL OBJECTIVES
 To develop a Neural Network for Predictive Energy Efficient for future Optical
Network.
 To model a system that can improve energy efficiency of an optical neural
network.
 To investigate the effect of the modelled system on the improvement of the
energy efficiency.
 To measure, analyse and control physical variables and quantities in an
improved energy efficient manner of an applicable area of relevance.
 To adapt and predict the outcomes of physical variables and quantities in an
improved energy efficient manner of an applicable area of relevance.
METHODOLOGY/DATA REQUIRED
 Intermittent and periodical measurements of physical variables and quantities
like temperature, light, humidity, air flow from a relevant applicable area of
interest.
 Design analysis of the Optical Network and Neural Network and its
implementation in a target area of interest.
 The use of MATLAB or any other relevant computing, simulating, analytical
and programming software or tool to model, train, simulate, compute and
analyse the network using relevant data.
 The handy application of artificial intelligence of Neural Networks. The
modelling, analysis of measurements and readings obtained should involve one
or two aspects of pattern classification, learning and generalization, adaptation,
clustering/classification, information processing, function approximation,
prediction/forecasting and optimisation.
EXPECTED OUTCOMES
Through the investigations, considerations, evaluations and analyses of the data and
results of the research, it is definitely expected that the research will produce an
implementable, improved and effective model that will optimise and improve the
energy efficiency of optical Networks.
RELEVANCE OF RESEARCH
The relevance of Optical networks is not yet exhausted in many aspects of human
activities and by extension, has become a viable area for research, implementation and
development. It is also a willing tool to the clamour for automation in many activities
and sectors of national existence. This research promises to be a strong voice in this
evolving area of optical networks and offers amongst other things:
 To emphasise on the many benefits of optical fibre networks in different aspects
of our lives like medicine, security, remote and weather sensing, traffic control,
fire detectors, etc and perhaps to suggest its application in our local
environment.
 To proffer a solution to the priority challenge of Wireless sensor network
(WSN). This is energy efficient as regards power consumption and efficient
routing of data.