Abstract: To decrease the grating scale thermal expansion error,
a novel method which based on multiple temperature detection is
proposed. Several temperature sensors are installed on the grating
scale and the temperatures of these sensors are recorded. The
temperatures of every point on the grating scale are calculated by
interpolating between adjacent sensors. According to the thermal
expansion principle, the grating scale thermal expansion error model
can be established by doing the integral for the variations of position
and temperature. A novel compensation method is proposed in this
paper. By applying the established error model, the grating scale
thermal expansion error is decreased by 90% compared with no
compensation. The residual positioning error of the grating scale is
less than 15μm/10m and the accuracy of the machine tool is
significant improved.
Abstract: Wire Electric Discharge Machining (WEDM) is
thermal machining process capable of machining very hard
electrically conductive material irrespective of their hardness.
WEDM is being widely used to machine micro scale parts with the
high dimensional accuracy and surface finish. The objective of this
paper is to optimize the process parameters of wire EDM to fabricate
the micro channels and to calculate the surface finish and material
removal rate of micro channels fabricated using wire EDM. The
material used is aluminum 6061 alloy. The experiments were
performed using CNC wire cut electric discharge machine. The effect
of various parameters of WEDM like pulse on time (TON) with the
levels (100, 150, 200), pulse off time (TOFF) with the levels (25, 35,
45) and current (IP) with the levels (105, 110, 115) were investigated
to study the effect on output parameter i.e. Surface Roughness and
Material Removal Rate (MRR). Each experiment was conducted
under different conditions of pulse on time, pulse off time and peak
current. For material removal rate, TON and Ip
were the most significant process parameter. MRR increases with the increase in
TON and Ip and decreases with the increase in TOFF. For surface
roughness, TON and Ip have the maximum effect and TOFF was found
out to be less effective.
Abstract: In internet of things (IoT) system, the communication
scheme with reliability and low power is required to connect a
terminal. Cooperative communication can achieve reliability and
lower power than multiple-input multiple-output (MIMO) system.
Cooperative communication increases the reliability with low
power, but decreases a throughput. It has a weak point that the
communication throughput is decreased. In this paper, a novel scheme
is proposed to increase the communication throughput. The novel
scheme is a transmission structure that increases transmission rate.
A decoding scheme according to the novel transmission structure is
proposed. Simulation results show that the proposed scheme increases
the throughput without bit error rate (BER) performance degradation.
Abstract: A biosphere reserve is developed to create harmony
amongst economic development, community development, and
environmental protection, through partnership between human and
nature. Giam Siak Kecil Bukit Batu Biosphere Reserve (GSKBB BR)
in Riau Province, Indonesia, is unique in that it has peat soil
dominating the area, many springs essential for human livelihood,
high biodiversity. Furthermore, it is the only biosphere reserve
covering privately managed production forest areas. In this research, we aimed at analyzing the threat of deforestation
and forest fire, and the potential of CO2 emission at GSKBB BR. We
used Landsat image, arcView software, and ERDAS IMAGINE 8.5
Software to conduct spatial analysis of land cover and land use
changes, calculated CO2 emission based on emission potential from
each land cover and land use type, and exercised simple linear
regression to demonstrate the relation between CO2 emission
potential and deforestation. The result showed that, beside in the buffer zone and transition
area, deforestation also occurred in the core area. Spatial analysis of
land cover and land use changes from years 2010, 2012, and 2014
revealed that there were changes of land cover and land use from
natural forest and industrial plantation forest to other land use types,
such as garden, mixed garden, settlement, paddy fields, burnt areas,
and dry agricultural land. Deforestation in core area, particularly at
the Giam Siak Kecil Wildlife Reserve and Bukit Batu Wildlife
Reserve, occurred in the form of changes from natural forest in to
garden, mixed garden, shrubs, swamp shrubs, dry agricultural land,
open area, and burnt area. In the buffer zone and transition area,
changes also happened, what once swamp forest changed into garden,
mixed garden, open area, shrubs, swamp shrubs, and dry agricultural
land. Spatial analysis on land cover and land use changes indicated
that deforestation rate in the biosphere reserve from 2010 to 2014 had
reached 16 119 ha/year. Beside deforestation, threat toward the
biosphere reserve area also came from forest fire. The occurrence of forest fire in 2014 had burned 101 723 ha of the
area, in which 9 355 ha of core area, and 92 368 ha of buffer zone
and transition area. Deforestation and forest fire had increased CO2
emission as much as 24 903 855 ton/year.
Abstract: Salinity is one of the major factors limiting crop
production in an arid environment. Despite its global importance
soybean production suffer the problems of salinity stress causing
damages at plant development. So it is implacable to either search for
salinity enhancement of soybean plants. Therefore, in the current
study we try to clarify the mechanism that might be involved in the
ameliorating effects of osmo-protectants such as proline and glycine
betaine as well as, compost application on soybean plants grown
under salinity stress. The experiment was conducted under
greenhouse conditions at the Graduate School of Biosphere Science
Laboratory of Hiroshima University, Japan in 2011. The experiment
was designed as a spilt-split plot based on randomized complete
block design with four replications. The treatments could be
summarized as follows; (i) salinity concentrations (0 and 15 mM), (ii)
compost treatments (0 and 24 t ha-1) and (iii) the exogenous, proline
and glycine betaine concentrations (0 mM and 25 mM) for each.
Results indicated that salinity stress induced reduction in growth and
physiological aspects (dry weight per plant, chlorophyll content, N
and K+ content) of soybean plant compared with those of the
unstressed plants. On the other hand, salinity stress led to increases in
the electrolyte leakage ratio, Na and proline contents. Special
attention was paid to, the tolerance against salt stress was observed,
the improvement of salt tolerance resulted from proline, glycine
betaine and compost were accompanied with improved K+, and
proline accumulation. While, significantly decreased electrolyte
leakage ratio and Na+ content. These results clearly demonstrate that
harmful effect of salinity could reduce on growth aspects of soybean.
Consequently, exogenous osmoprotectants combine with compost
will effectively solve seasonal salinity stress problem and are a good
strategy to increase salinity resistance of soybean in the drylands.
Abstract: Malaysia’s green building development is gaining
momentum and green buildings have become a key focus area,
especially within the commercial sector with the encouragement of
government legislation and policy. Due to the emerging awareness
among the market players’ views of the benefits associated with the
ownership of green buildings in Malaysia, there is a need for valuers
to incorporate consideration of sustainability into their assessments of
property market value to ensure the green buildings continue to
increase in the market. This paper analyses the valuers’ current
perception on the valuation practices with regard to the green issues
in Malaysia. The study was based on a survey of registered real estate
valuers and the experts whose work related to valuation in the Klang
Valley area to rate their view regarding the perception on valuation of
green building. The findings present evidence that even though
Malaysian valuers have limited knowledge of green buildings, they
recognise the importance of incorporating the green features in the
valuation process. The inclusion of incorporating the green features
in valuations in practice was hindered by the inadequacy of sufficient
transaction data in the market. Furthermore, valuers experienced
difficulty in identifying what are the various input parameters of
green building and how to adjust it in order to reflect the benefit of
sustainability features correctly in the valuation process. This paper
focuses on the present challenges confronted by Malaysian valuers
with regards to incorporating the green features in their valuation.
Abstract: Measuring the Electrocardiogram (ECG) signal is an
essential process for the diagnosis of the heart diseases. The ECG
signal has the information of the degree of how much the heart
performs its functions. In medical diagnosis and treatment systems,
Decision Support Systems processing the ECG signal are being
developed for the use of clinicians while medical examination. In this
study, a modular wireless ECG (WECG) measuring and recording
system using a single board computer and e-Health sensor platform
is developed. In this designed modular system, after the ECG signal
is taken from the body surface by the electrodes first, it is filtered and
converted to digital form. Then, it is recorded to the health database
using Wi-Fi communication technology. The real time access of the
ECG data is provided through the internet utilizing the developed
web interface.
Abstract: High temperature Fischer-Tropsch synthesis process
use fixed fluidized bed as a reactor. In order to understand the flow
behavior in the fluidized bed better, the research of how the radial
velocity affects the entire flow field is necessary. Laser Doppler
Velocimetry (LDV) was used to study the radial velocity distribution
along the diameter direction of the cross-section of the particle in a
fixed fluidized bed. The velocity in the cross-section is fluctuating
within a small range. The direction of the speed is a random
phenomenon. In addition to r/R is 1, the axial velocity are more than 6
times of the radial velocity, the radial velocity has little impact on the
axial velocity in a fixed fluidized bed.
Abstract: MHD chemically reacting viscous fluid flow towards
a vertical surface with slip and convective boundary conditions has
been conducted. The temperature and the chemical species
concentration of the surface and the velocity of the external flow are
assumed to vary linearly with the distance from the vertical surface.
The governing differential equations are modeled and transformed
into systems of ordinary differential equations, which are then solved
numerically by a shooting method. The effects of various parameters
on the heat and mass transfer characteristics are discussed. Graphical
results are presented for the velocity, temperature, and concentration
profiles whilst the skin-friction coefficient and the rate of heat and
mass transfers near the surface are presented in tables and discussed.
The results revealed that increasing the strength of the magnetic field
increases the skin-friction coefficient and the rate of heat and mass
transfers toward the surface. The velocity profiles are increased
towards the surface due to the presence of the Lorenz force, which
attracts the fluid particles near the surface. The rate of chemical
reaction is seen to decrease the concentration boundary layer near the
surface due to the destructive chemical reaction occurring near the
surface.
Abstract: The effect of carbon nanofibers (CNFs) on the
electrical properties of Poly(vinylidene fluoride-hexafluoropropylene)
(P(VdF-HFP)) based gel polymer electrolytes has been investigated
in the present work. The length and diameter ranges of CNFs used in
the present work are 5-50 μm and 200-600 nm respectively. The
nanocomposite gel polymer electrolytes have been synthesized by
solution casting technique with varying CNFs content in terms of
weight percentage. Electrochemical impedance analysis demonstrates
that the reinforcement of carbon nanofibers significantly enhances the
ionic conductivity of the polymer electrolyte. The decrease of
crystallinity of P(VdF-HFP) due the addition of CNFs has been
confirmed by X-ray diffraction (XRD). The interaction of CNFs with
various constituents of nanocomposite gel polymer electrolytes has
been assessed by Fourier Transform Infrared (FTIR) spectroscopy.
Moreover CNFs added gel polymer electrolytes offer superior
thermal stability as compared to that of CNFs free electrolytes as
confirmed by Thermogravimetric analysis (TGA).
Abstract: The availability to deploy mobile applications for
health care is increasing daily thru different mobile app stores. But
within these capabilities the number of hacking attacks has also
increased, in particular into medical mobile applications. The security
vulnerabilities in medical mobile apps can be triggered by errors in
code, incorrect logic, poor design, among other parameters. This is
usually used by malicious attackers to steal or modify the users’
information. The aim of this research is to analyze the vulnerabilities
detected in mobile medical apps according to risk factor standards
defined by OWASP in 2014.
Abstract: Healthcare safety has been perceived important. It is
essential to prevent troubles in healthcare processes for healthcare
safety. Trouble prevention is based on trouble prediction using
accumulated knowledge on processes, troubles, and countermeasures.
However, information on troubles has not been accumulated in
hospitals in the appropriate structure, and it has not been utilized
effectively to prevent troubles. In the previous study, however a
detailed knowledge acquisition process for trouble prediction was
proposed, the knowledgebase for countermeasures was not involved.
In this paper, we aim to propose the structure of the knowledgebase for
countermeasures, in the knowledge acquisition process for trouble
prediction in healthcare process. We first design the structure of
countermeasures and propose the knowledge representation form on
countermeasures. Then, we evaluate the validity of the proposal, by
applying it into an actual hospital.
Abstract: The current study aims to highlight the loading
characteristics impact on the time evolution (focusing particularly on
long term effects) of the deformation of realized reinforced concrete
beams. Namely the tension stiffening code provisions (i.e. within
Eurocode 2) are reviewed with a clear intention to reassess their
operational value and predicting capacity. In what follows the
experimental programme adopted along with some preliminary
findings and numerical modeling attempts are presented. For a range of long slender reinforced concrete simply supported
beams (4200 mm) constant static sustained and repeated cyclic
loadings were applied mapping the time evolution of deformation.
All experiments were carried out at the Heavy Structures Lab of the
University of Leeds. During tests the mid-span deflection, creep
coefficient and shrinkage strains were monitored for duration of 90
days. The obtained results are set against the values predicted by
Eurocode 2 and the tools within an FE commercial package (i.e.
Midas FEA) to yield that existing knowledge and practise is at times
over-conservative.
Abstract: This paper seeks to assess the implications of bank
consolidation on lending, which largely determine the survival and
performance of small and medium scale enterprises and in turn the
development of the Nigerian economy. Ordinary least square
technique, correlation matrix test and Granger –causality test were
employed to measure the extent to which lending to small and
medium scale enterprises were influenced. The result showed that
bank deposit (BD) impacted on lending to small and medium scale
enterprises. Commercial and merchant bank lending rate had
statistically insignificant effect on the dependent variable. There is a
shift of focus by commercial banks from small and medium scale
enterprises (small customers) to major investors (big customers).
While micro finance banks work hard at providing funds to small and
medium scale entrepreneurs, their capacity to meet the needs of these
entrepreneurs is constrained. The capital and deposits of micro
finance bank should be boosted in order to effectively support small
and medium scale enterprises through loans.
Abstract: Drought is one of the most serious problems posing a
grave threat to cereals production including maize. Maize
improvement in drought-stress tolerance poses a great challenge as
the global need for food and bio-energy increases. Thus, the current
study was planned to explore the variations and determine the
performance of target traits of maize hybrids at grain growth stage
under drought conditions during 2014 under Adana, Mediterranean
climate conditions, Turkey. Maize hybrids (Sancia, Indaco,
71May69, Aaccel, Calgary, 70May82, 72May80) were evaluated
under (irrigated and water stress). Results revealed that, grain yield
and yield traits had a negative effects because of water stress
conditions compared with the normal irrigation. As well as, based on
the result under normal irrigation, the maximum biological yield and
harvest index were recorded. According to the differences among
hybrids were found that, significant differences were observed among
hybrids with respect to yield and yield traits under current research. Based on the results, grain weight had more effect on grain yield
than grain number during grain filling growth stage under water
stress conditions. In this concern, according to low drought
susceptibility index (less grain yield losses), the hybrid (Indaco) was
more stable in grain number and grain weight. Consequently, it may
be concluded that this hybrid would be recommended for use in the
future breeding programs for production of drought tolerant hybrids.
Abstract: Oxygen Reduction Reaction (ORR) performance of
iron and nitrogen co-doped porous carbon nanoparticles (Fe-NPC)
with various physical and (electro) chemical properties have been
investigated. Fe-NPC nanoparticles are synthesized via a facile
soft-templating procedure by using Iron (III) chloride hexa-hydrate as
iron precursor and aminophenol-formaldehyde resin as both carbon
and nitrogen precursor. Fe-NPC nanoparticles shows high surface area
(443.83 m2g-1), high pore volume (0.52 m3g-1), narrow mesopore size
distribution (ca. 3.8 nm), high conductivity (IG/ID=1.04), high kinetic
limiting current (11.71 mAcm-2) and more positive onset potential
(-0.106 V) compared to metal-free NPC nanoparticles (-0.295V)
which make it high efficient ORR metal-free catalysts in alkaline
solution. This study may pave the way of feasibly designing iron and
nitrogen containing carbon materials (Fe-N-C) for highly efficient
oxygen reduction electro-catalysis.
Abstract: One of the most important challenging factors in
medical images is nominated as noise. Image denoising refers to the
improvement of a digital medical image that has been infected by
Additive White Gaussian Noise (AWGN). The digital medical image
or video can be affected by different types of noises. They are
impulse noise, Poisson noise and AWGN. Computed tomography
(CT) images are subjects to low quality due to the noise. Quality of
CT images is dependent on absorbed dose to patients directly in such
a way that increase in absorbed radiation, consequently absorbed
dose to patients (ADP), enhances the CT images quality. In this
manner, noise reduction techniques on purpose of images quality
enhancement exposing no excess radiation to patients is one the
challenging problems for CT images processing. In this work, noise
reduction in CT images was performed using two different
directional 2 dimensional (2D) transformations; i.e., Curvelet and
Contourlet and Discrete Wavelet Transform (DWT) thresholding
methods of BayesShrink and AdaptShrink, compared to each other
and we proposed a new threshold in wavelet domain for not only
noise reduction but also edge retaining, consequently the proposed
method retains the modified coefficients significantly that result good
visual quality. Data evaluations were accomplished by using two
criterions; namely, peak signal to noise ratio (PSNR) and Structure
similarity (Ssim).
Abstract: This paper describes how to dimension the electric
components of a 48V hybrid system considering real customer use.
Furthermore, it provides information about savings in energy and
CO2 emissions by a customer-tailored 48V hybrid. Based on measured customer profiles, the electric units such as the
electric motor and the energy storage are dimensioned. Furthermore,
the CO2 reduction potential in real customer use is determined
compared to conventional vehicles. Finally, investigations are carried
out to specify the topology design and preliminary considerations in
order to hybridize a conventional vehicle with a 48V hybrid system.
The emission model results from an empiric approach also taking into
account the effects of engine dynamics on emissions. We analyzed
transient engine emissions during representative customer driving
profiles and created emission meta models. The investigation showed
a significant difference in emissions when simulating realistic
customer driving profiles using the created verified meta models
compared to static approaches which are commonly used for vehicle
simulation.
Abstract: One of the fundamental characteristics of Information
and Communication Technology (ICT) has been the ever-changing
nature of continuous release and models of ICTs with its impact on
the academic, social, and psychological benefits of its introduction in
schools. However, there seems to be a growing concern about its
negative impact on students when introduced early in schools for
teaching and learning. This study aims to design a model of child
development factors affecting the early introduction of ICTs in
schools in an attempt to improve the understanding of child
development and introduction of ICTs in schools. The proposed
model is based on a sound theoretical framework. It was designed
following a literature review of child development theories and child
development factors. The child development theoretical framework
that fitted to the best of all child development factors was then chosen
as the basis for the proposed model. This study hence found that the
Jean Piaget cognitive developmental theory is the most adequate
theoretical frameworks for modeling child development factors for
ICT introduction in schools.
Abstract: Damaturu is the capital of Yobe State in northeastern
Nigeria where civic amenities and facilities are not adequate even
after 24 years of its existence. The volatile security and political
situations are most significant causes for the same. The basic facility
for the citizens in terms of drinking water and electricity are not
available. For the drinking water, they have to rely on personal
boreholes or the filtered borehole waters available in packaged
sachets in market. The present study is concerned with environmental
impact of indiscriminate disposal of drinking synthetic polythene
water sachets in Damaturu. The sachet water is popularly called as
“pure water”, but its purity is questionable. Increased production and
consumption of sachet water has led to indiscriminate dumping and
disposal of empty sachets leading to serious environmental threat.
The evidence of this is seen for sachets littering the streets and the
drainages blocked by ‘blocks’ of water sachet waste. Sachet water
gained much popularity in Nigeria because the product is convenient
for use, affordable and economically viable. The present study aims
to find out the solution to this environmental problem. The fieldbased
study has found some significant factors that cause
environmental and socio economic effect due to this. Some
recommendations have been made based on research findings
regarding sustainable waste management, recycling and re-use of the
non-biodegradable products in society.