Abstract: Liver segmentation from medical images poses more
challenges than analogous segmentations of other organs. This
contribution introduces a liver segmentation method from a series of
computer tomography images. Overall, we present a novel method for
segmenting liver by coupling density matching with shape priors.
Density matching signifies a tracking method which operates via
maximizing the Bhattacharyya similarity measure between the
photometric distribution from an estimated image region and a model
photometric distribution. Density matching controls the direction of
the evolution process and slows down the evolving contour in regions
with weak edges. The shape prior improves the robustness of density
matching and discourages the evolving contour from exceeding liver’s
boundaries at regions with weak boundaries. The model is
implemented using a modified distance regularized level set (DRLS)
model. The experimental results show that the method achieves a
satisfactory result. By comparing with the original DRLS model, it is
evident that the proposed model herein is more effective in addressing
the over segmentation problem. Finally, we gauge our performance of
our model against matrices comprising of accuracy, sensitivity, and
specificity.
Abstract: Concurrent planning of project scheduling and
material ordering can provide more flexibility to the project
scheduling problem, as the project execution costs can be enhanced.
Hence, the issue has been taken into account in this paper. To do so, a
mixed-integer mathematical model is developed which considers the
aforementioned flexibility, in addition to the materials quantity
discount and space availability restrictions. Moreover, the activities
duration has been treated as decision variables. Finally, the efficiency
of the proposed model is tested by different instances. Additionally,
the influence of the aforementioned parameters is investigated on the
model performance.
Abstract: This paper concentrates on the sustainable traditional
architecture and urban planning in hot-humid regions of Iran. In a
vast country such as Iran with different climatic zones traditional
builders have presented series of logical solutions for human comfort.
The aim of this paper is to demonstrate traditional architecture in hothumid
climate of Iran as a sample of sustainable architecture. Iranian
traditional architecture has been able to response to environmental
problems for a long period of time. Its features are based on climatic
factors, local construction materials of hot-humid regions and culture.
This paper concludes that Iranian traditional architecture can be
addressed as a sustainable architecture.
Abstract: The aim of sustainable architecture is to design
buildings with the least adverse effects on the environment and
provide better conditions for people. What building forms make the
best use of land? This question was addressed in the late 1960s at the
center of Land Use and Built Form Studies in Cambridge. This led to
a number of influential papers which had a great influence on the
practice of urban design. This paper concentrates on the results of
sustainability caused by climatic conditions in Iranian traditional
architecture in hot-arid regions. As people spent a significant amount
of their time in houses, it was very important to have such houses to
fulfill their needs physically and spiritually as well as satisfying their
cultural and religious aspects of their lifestyles. In a vast country such
as Iran with different climatic zones, traditional builders have
presented series of logical solutions for human comfort. These
solutions have been able to response to the environmental problems
for a long period of time. As a result, by considering the experience
in traditional architecture of hot–arid climate in Iran, it is possible to
attain sustainable architecture.
Abstract: At a global level, water stewardship, water stress and
water security are crucial factors in tourism planning and
development considerations. Challenges associated with water is of
particular concern to the Maldives as there is limited availability of
freshwater, high dependency on desalinated water, and high unit cost
associated with desalinating water. While the Maldives is promoted
as an example of sustainable tourism, a key sustainability challenge
facing tourism dependent communities is the efficient use and
management of available water resources. A water crisis event in the
capital island of Maldives highlighted how precarious water related
issues are in this tourism dependent destination. Applying
netnography, the focus of this working paper is to present community
perceptions of how government policies addressed Malé Water and
Sewerage Company (MWSC) water crisis event.
Abstract: Wireless Sensor Network (WSN) routing is complex
due to its dynamic nature, computational overhead, limited battery
life, non-conventional addressing scheme, self-organization, and
sensor nodes limited transmission range. An energy efficient routing
protocol is a major concern in WSN. LEACH is a hierarchical WSN
routing protocol to increase network life. It performs self-organizing
and re-clustering functions for each round. This study proposes a
better sensor networks cluster head selection for efficient data
aggregation. The algorithm is based on Tabu search.
Abstract: This paper addresses the problem of offline path
planning for Unmanned Aerial Vehicles (UAVs) in complex threedimensional
environment with obstacles, which is modelled by 3D
Cartesian grid system. Path planning for UAVs require the
computational intelligence methods to move aerial vehicles along the
flight path effectively to target while avoiding obstacles. In this paper
Modified Particle Swarm Optimization (MPSO) algorithm is applied
to generate the optimal collision free 3D flight path for UAV. The
simulations results clearly demonstrate effectiveness of the proposed
algorithm in guiding UAV to the final destination by providing
optimal feasible path quickly and effectively.
Abstract: Evolutionary Algorithms (EAs) have been used
widely through evolution theory to discover acceptable solutions that
corresponds to challenges such as natural resources management.
EAs are also used to solve varied problems in the real world. EAs
have been rapidly identified for its ease in handling multiple
objective problems. Reservoir operations is a vital and researchable
area which has been studied in the last few decades due to the limited
nature of water resources that is found mostly in the semi-arid
regions of the world. The state of some developing economy that
depends on electricity for overall development through hydropower
production, a renewable form of energy, is appalling due to water
scarcity. This paper presents a review of the applications of
evolutionary algorithms to reservoir operation for hydropower
production. This review includes the discussion on areas such as
genetic algorithm, differential evolution, and reservoir operation. It
also identified the research gaps discovered in these areas. The results
of this study will be an eye opener for researchers and decision
makers to think deeply of the adverse effect of water scarcity and
drought towards economic development of a nation. Hence, it
becomes imperative to identify evolutionary algorithms that can
address this issue which can hamper effective hydropower
generation.
Abstract: Fresh water is one of the resources which is getting
depleted day by day. A wise method to address this issue is by the
application of renewable energy-sun irradiation and by means of
decentralized, cheap, energetically self-sufficient, robust and simple
to operate plants, distillates can be obtained from sea, river or even
sewage. Solar desalination is a technique used to desalinate water
using solar energy. The present work deals with the comprehensive
design and simulation of solar tracking system using LabVIEW,
temperature and mass flow rate control of the solar desalination plant
using LabVIEW and also analysis of single phase inverter circuit
with LC filters for solar pumping system in MATLAB. The main
objective of this work is to improve the performance of solar
desalination system using automatic tracking system, output control
using temperature and mass flow rate control system and also to
reduce the harmonic distortion in the solar pumping system by means
of LC filters. The simulation of single phase inverter was carried out
using MATLAB and the output waveforms were analyzed.
Simulations were performed for optimum output temperature control,
which in turn controls the mass flow rate of water in the thermal
collectors. Solar tracking system was accomplished using LABVIEW
and was tested successfully. The thermal collectors are tracked in
accordance with the sun’s irradiance levels, thereby increasing the
efficiency of the thermal collectors.
Abstract: Cortisol is essential to the regulation of the immune
system and pathological yawning is a symptom of multiple sclerosis
(MS). Electromyography activity (EMG) in the jaw muscles typically
rises when the muscles are moved – extended or flexed; and yawning
has been shown to be highly correlated with cortisol levels in healthy
people as shown in the Thompson Cortisol Hypothesis. It is likely
that these elevated cortisol levels are also seen in people with MS.
The possible link between EMG in the jaw muscles and rises in saliva
cortisol levels during yawning were investigated in a randomized
controlled trial of 60 volunteers aged 18-69 years who were exposed
to conditions that were designed to elicit the yawning response.
Saliva samples were collected at the start and after yawning, or at the
end of the presentation of yawning-provoking stimuli, in the absence
of a yawn, and EMG data was additionally collected during rest and
yawning phases. Hospital Anxiety and Depression Scale, Yawning
Susceptibility Scale, General Health Questionnaire, demographic,
and health details were collected and the following exclusion criteria
were adopted: chronic fatigue, diabetes, fibromyalgia, heart
condition, high blood pressure, hormone replacement therapy,
multiple sclerosis, and stroke. Significant differences were found
between the saliva cortisol samples for the yawners, t (23) = -4.263, p
= 0.000, as compared with the non-yawners between rest and poststimuli,
which was non-significant. There were also significant
differences between yawners and non-yawners for the EMG
potentials with the yawners having higher rest and post-yawning
potentials. Significant evidence was found to support the Thompson
Cortisol Hypothesis suggesting that rises in cortisol levels are
associated with the yawning response. Further research is underway
to explore the use of cortisol as a potential diagnostic tool as an assist
to the early diagnosis of symptoms related to neurological disorders.
Bournemouth University Research & Ethics approval granted:
JC28/1/13-KA6/9/13. Professional code of conduct, confidentiality,
and safety issues have been addressed and approved in the Ethics
submission. Trials identification number: ISRCTN61942768.
http://www.controlled-trials.com/isrctn/
Abstract: This paper describes a sliding mode controller for
autonomous underwater vehicles (AUVs). The dynamic of AUV
model is highly nonlinear because of many factors, such as
hydrodynamic drag, damping, and lift forces, Coriolis and centripetal
forces, gravity and buoyancy forces, as well as forces from thruster.
To address these difficulties, a nonlinear sliding mode controller is
designed to approximate the nonlinear dynamics of AUV and
improve trajectory tracking. Moreover, the proposed controller can
profoundly attenuate the effects of uncertainties and external
disturbances in the closed-loop system. Using the Lyapunov theory
the boundedness of AUV tracking errors and the stability of the
proposed control system are also guaranteed. Numerical simulation
studies of an AUV are included to illustrate the effectiveness of the
presented approach.
Abstract: This paper addresses the issue of resource allocation
in the emerging cognitive technology. Focusing the Quality of
Service (QoS) of Primary Users (PU), a novel method is proposed for
the resource allocation of Secondary Users (SU). In this paper, we
propose the unique Utility Function in the game theoretic model of
Cognitive Radio which can be maximized to increase the capacity of
the Cognitive Radio Network (CRN) and to minimize the
interference scenario. Utility function is formulated to cater the need
of PUs by observing Signal to Noise ratio. Existence of Nash
Equilibrium for the postulated game is established.
Abstract: This paper describes I²C Slave implementation using
I²C master obtained from the OpenCores website. This website
provides free Verilog and VHDL Codes to users. The design
implementation for the I²C slave is in Verilog Language and uses
EDA tools for ASIC design known as ModelSim from Mentor
Graphic. This tool is used for simulation and verification purposes.
Common application for this I²C Master-Slave integration is also
included. This paper also addresses the advantages and limitations of
the said design.
Abstract: Home Energy Management System (HEMS), which makes the residential consumers, contribute to the demand response is attracting attention in recent years. An aim of HEMS is to minimize their electricity cost by controlling the use of their appliances according to electricity price. The use of appliances in HEMS may be affected by some conditions such as external temperature and electricity price. Therefore, the user’s usage pattern of appliances should be modeled according to the external conditions, and the resultant usage pattern is related to the user’s comfortability on use of each appliances. This paper proposes a methodology to model the usage pattern based on the historical data with the copula function. Through copula function, the usage range of each appliance can be obtained and is able to satisfy the appropriate user’s comfort according to the external conditions for next day. Within the usage range, an optimal scheduling for appliances would be conducted so as to minimize an electricity cost with considering user’s comfort. Among the home appliance, electric heater (EH) is a representative appliance, which is affected by the external temperature. In this paper, an optimal scheduling algorithm for an electric heater (EH) is addressed based on the method of branch and bound. As a result, scenarios for the EH usage are obtained according to user’s comfort levels and then the residential consumer would select the best scenario. The case study shows the effects of the proposed algorithm compared with the traditional operation of the EH, and it represents impacts of the comfort level on the scheduling result.
Abstract: A teeming set of doctors that graduated from various
universities within and outside Nigeria with the hope of practicing in
the country, has their hope shattered because of poor financing, lack
of medical equipments and a very weak healthcare systems. Such
hydra headed challenges, allows room for quackery which
increasingly contributes to the cause of mortality in Nigeria. With a
view of reversing the challenges of healthcare delivery and financing
in Nigeria, African Health Market for Equity (AHME), a project
funded by the Bill and Melinda Gates foundation [With contribution
from Department For International Development (DFID)] and
currently implemented in three African Countries (Nigeria, Kenya
and Ghana) over a Five (5) year period supports the healthcare sector
via Medical credit fund (MCF). The study examines the impact of
credit policy and medical credit funding on Nigerian health market.
Ordinary least square analysis, correlation and granger causality tests
were employed to measure the extent to which the Nigerian
healthcare market has been influenced. Medical credit fund
significantly and positively influenced average monthly turnover of
private healthcare providers and Commercial bank’s lending rate had
a weak relationship with access to credit/approved loans (13.46%).
The programme has so far made 13.91% progress, which is very
poor, considering the minimum targeted private health care providers
(437.6) and expected number of loan approvals (180.4) for the two
years. Medical credit policy in Nigeria should be revised to include
private healthcare providers in rural area for more positive impact
and increased returns. Good brand advert and sensitization of the
programme to stakeholders and health pressure group, and an
extension of the programme beyond five years is necessary to better
address the issues raised in the study.
Abstract: Networked environments which provide platforms for
business organizations are configured in different forms depending
on many factors including life time, member characteristics,
communication structure, and business objectives, among others.
With continuing advances in digital technologies the distance has
become a less barrier for business minded collaboration among
organizations. With the need and ease to make business collaborate
nowadays organizations are sometimes forced to co-work with others
that are either unknown or less known to them in terms of history and
performance. A promising approach for sustaining established
collaboration has been establishment of trust relationship among
organizations based on assessed trustworthiness for each participating
organization. It has been stated in research that trust in organization is
dynamic and thus assessment of trust level must address such
dynamic nature. This paper assesses relevant aspects of trust and
applies the assessed concepts to propose a semi-automated system for
the management of Sustainability and Evolution of trust in
organizations participating in specific objective in a networked
organizations environment.
Abstract: This paper addresses minimizing the makespan of the
distributed permutation flow shop scheduling problem. In this
problem, there are several parallel identical factories or flowshops
each with series of similar machines. Each job should be allocated to
one of the factories and all of the operations of the jobs should be
performed in the allocated factory. This problem has recently gained
attention and due to NP-Hard nature of the problem, metaheuristic
algorithms have been proposed to tackle it. Majority of the proposed
algorithms require large computational time which is the main
drawback. In this study, a general variable neighborhood search
algorithm (GVNS) is proposed where several time-saving schemes
have been incorporated into it. Also, the GVNS uses the sophisticated
method to change the shaking procedure or perturbation depending
on the progress of the incumbent solution to prevent stagnation of the
search. The performance of the proposed algorithm is compared to
the state-of-the-art algorithms based on standard benchmark
instances.
Abstract: Sweden has succeeded to maintain a high level of
growth and development and has managed to sustain highly ranked
position among the world’s developed countries. In this regard,
Swedish universities are playing a vital role in supporting innovation
and entrepreneurship at all levels and developing Swedish knowledge
economy. This paper is aiming to draw on the experiences of two leading
Swedish universities, addressing their transformation approach to
create entrepreneurial universities and fulfilling their objectives in the
era of knowledge economy. The objectives of the paper include: 1) Introducing the Swedish
higher education and its characteristics. 2) Examining the
infrastructure elements for innovation and Entrepreneurship at two of
the Swedish entrepreneurial universities. 3) Addressing the key
aspects of support systems in the initiatives of both Chalmers and
Gothenburg universities to support innovation and advance
entrepreneurial practices. The paper will contribute to two discourses: 1) Examining the
relationship between support systems for innovation and
entrepreneurship and the Universities’ policies and practices. 2)
Lessons for University leaders to assist the development and
implementation of effective innovation and entrepreneurship policies
and practices.
Abstract: Ecological systems are exposed and are influenced by
various natural and anthropogenic disturbances. They produce
various effects and states seeking response symmetry to a state of
global phase coherence or stability and balance of their food webs.
This research project addresses the development of a computational
methodology for modeling plankton food webs. The use of
algorithms to establish connections, the generation of representative
fuzzy multigraphs and application of technical analysis of complex
networks provide a set of tools for defining, analyzing and evaluating
community structure of coastal aquatic ecosystems, beyond the
estimate of possible external impacts to the networks. Thus, this
study aims to develop computational systems and data models to
assess how these ecological networks are structurally and
functionally organized, to analyze the types and degree of
compartmentalization and synchronization between oscillatory and
interconnected elements network and the influence of disturbances on
the overall pattern of rhythmicity of the system.
Abstract: The increasing volume of solid waste generated,
collected and disposed daily complicate adequate management of
solid waste by relevant agency like Niger State Environmental
Protection Agency (NISEPA). In addition, the impacts of solid waste
on the natural environment and human livelihood require
identification of cost-effective ways for sustainable municipal waste
management in Nigeria. These signal the need for identifying
environment-friendly initiative and local solution to address the
problem of municipal solid waste. A research field was secured at
Pago, Minna, Niger State which is located in the guinea savanna belt
of Nigeria, within longitude 60 361 4311 - 4511 and latitude 90 291
37.6111 - .6211 N. Poultry droppings, decomposed household waste
manure and NPK treatments were used. The experimental field was
divided into three replications and four (4) treatments on each
replication making a total of twelve (12) plots. The treatments were
allotted using Randomized Complete Block Design (RCBD) and
Data collected was analyzed using SPSS software and RCBD. The
result depicts variation in plant height and number of leaves at 50%
flowering; Poultry dropping records the highest height while the
number of leaves for waste manure competes fairly well with NPK
treatment. Similarly, the varying treatments significantly increase
vegetable yield, as the control (non-treatment) records the least yield
for the three vegetable samples. Adoption of this organic manure for
cultivation does not only enhance environment quality and attainment
of food security but will contribute to local economic development,
poverty alleviation as well as social inclusion.