Abstract: The reheating furnace is used to reheat the steel slabs
before the hot-rolling process. The supported system includes the
stationary/moving beams, and the skid buttons which block some
thermal radiation transmitted to the bottom of the slabs. Therefore, it is
important to analyze the steel slab temperature distribution during the
heating period. A three-dimensional mathematical transient heat
transfer model for the prediction of temperature distribution within the
slab has been developed. The effects of different skid button height
(H=60mm, 90mm, and 120mm) and different gap distance between
two slabs (S=50mm, 75mm, and 100mm) on the slab skid mark
formation and temperature profiles are investigated. Comparison with
the in-situ experimental data from Steel Company in Taiwan shows
that the present heat transfer model works well for the prediction of
thermal behavior of the slab in the reheating furnace. It is found that
the skid mark severity decreases with an increase in the skid button
height. The effect of gap distance is important only for the slab edge
planes, while it is insignificant for the slab central planes.
Abstract: Automated Teller Machines (ATMs) can be
considered among one of the most important service facilities in the
banking industry. The investment in ATMs and the impact on the
banking industry is growing steadily in every part of the world. The
banks take into consideration many factors like safety, convenience,
visibility, and cost in order to determine the optimum locations of
ATMs. Today, ATMs are not only available in bank branches but
also at retail locations. Another important factor is the cash
management in ATMs. A cash demand model for every ATM is
needed in order to have an efficient cash management system. This
forecasting model is based on historical cash demand data which is
highly related to the ATMs location. So, the location and the cash
management problem should be considered together. This paper
provides a general review on studies, efforts and development in
ATMs location and cash management problem.
Abstract: A problem of complex mineral resources development is urgent and priority, it is aimed at realization of the processes of their ecologically safe development, one of its components is revealing the influence of the forms of element compounds in raw materials and in the processing products. In view of depletion of the precious metal reserves at the traditional deposits in the XXI century the large-size open cast deposits, localized in black shale strata begin to play the leading role. Carbonaceous (black) shales carry a heightened metallogenic potential. Black shales with high content of carbon are widely distributed within the scope of Bureinsky massif. According to academician Hanchuk`s data black shales of Sutirskaya series contain generally PGEs native form. The presence of high absorptive towards carbonaceous matter gold and PGEs compounds in crude ore results in decrease of valuable components extraction because of their sorption into dissipated carbonaceous matter.
Abstract: The present explanatory study concerns with the
relation between Diabetes Mellitus and Food Balance in the Kingdom
of Saudi Arabia during 2005-2010, using published data. Results illustrated that Saudi citizen daily protein consumption
(DPC) during 2005-2007 (g/capita/day) is higher than the average
global consumption level of protein with 15.27%, daily fat
consumption (DFC) with 24.56% and daily energy consumption
(DEC) with 16.93% and increases than recommended level by
International Nutrition Organizations (INO) with 56% for protein,
60.49% for fat and 27.37% for energy. On the other hand, DPC per
capita in Saudi Arabia decreased during the period 2008-2010 from
88.3 to 82.36 gram/ day. Moreover, DFC per capita in Saudi Arabia
decreased during the period 2008-2010 from 3247.90 to 3176.43
Cal/capita/ day, and daily energy consumption (DEC) of Saudi
citizen increases than world consumption with 16.93%, whereas
increases with 27.37% than INO. Despite this, DPC, DFC and DEC
per capita in Saudi Arabia still higher than world mean. On the other
side, results illustrated that the number of diabetic patients in Saudi
Arabia during the same period (2005-2010). The curve of diabetic
patient’s number in Saudi Arabia during 2005-2010 is regular
ascending with increasing level ranged between 7.10% in 2005 and
12.44% in 2010. It is essential to devise Saudi National programs to educate the
public about the relation of food balances and diabetes so it could be
avoided, and provide citizens with healthy dietary balances tables.
Abstract: This paper tries to answer to the questions whether or
not trade openness causes economic growth and trade policy changes
are good for Turkey as a developing country in global economy
before and after 1980. We employ Johansen co-integration and
Granger causality tests with error correction modeling based on
vector autoregressive. Using WDI data from the pre-1980 and the
post-1980, we find that trade openness and economic growth are cointegrated
in the second term only. Also the results suggest a lack of
long-run causality between our two variables. These findings may
imply that trade policy of Turkey should concentrate more on extra
complementary economic reforms.
Abstract: Multiple Input Multiple Output (MIMO) systems are
wireless systems with multiple antenna elements at both ends of the
link. Wireless communication systems demand high data rate and
spectral efficiency with increased reliability. MIMO systems have
been popular techniques to achieve these goals because increased
data rate is possible through spatial multiplexing scheme and
diversity. Spatial Multiplexing (SM) is used to achieve higher
possible throughput than diversity. In this paper, we propose a Zero-
Forcing (ZF) detection using a combination of Ordered Successive
Interference Cancellation (OSIC) and Zero Forcing using
Interference Cancellation (ZF-IC). The proposed method used an
OSIC based on Signal to Noise Ratio (SNR) ordering to get the
estimation of last symbol, then the estimated last symbol is
considered to be an input to the ZF-IC. We analyze the Bit Error Rate
(BER) performance of the proposed MIMO system over Rayleigh
Fading Channel, using Binary Phase Shift Keying (BPSK)
modulation scheme. The results show better performance than the
previous methods.
Abstract: The research explores the relationship between
management responsibility and corporate governance of listed
companies in Kazakhstan. This research employs firm level data of
selected listed non-financial firms and firm level data “operational”
financial sector, consisted from banking sector, insurance companies
and accumulated pension funds using multivariate regression analysis
under fixed effect model approach. Ownership structure includes
institutional ownership, managerial ownership and private investor’s
ownership. Management responsibility of the firm is expressed by the
decision of the firm on amount of leverage. Results of the cross
sectional panel study for non-financial firms showed that only
institutional shareholding is significantly negatively correlated with
debt to equity ratio. Findings from “operational” financial sector
show that leverage is significantly affected only by the CEO/Chair
duality and the size of financial institutions, and insignificantly
affected by ownership structure. Also, the findings show, that there is
a significant negative relationship between profitability and the debt
to equity ratio for non-financial firms, which is consistent with
pecking order theory. Generally, the found results suggest that
corporate governance and a management responsibility play
important role in corporate performance of listed firms in
Kazakhstan.
Abstract: Our sowing date experiment took place in the
Demonstration Garden of Institution of Plant Sciences, Centre for
Agricultural Sciences of University of Debrecen, in 2012-2014. The
paper contains data of test year 2014. Our purpose, besides several
other examinations, was to observe how sowing date influences the
leaf area index and the activity of photosynthesis of maize hybrids,
and how those factors affect fruiting. In the experiment we monitored
the change of the leaf area index and the photosynthesis of hybrids
with four different growing seasons. The results obtained confirm
that not only the environmental and agricultural factors in the
growing season have effect on the yield, but also other factors like
the leaf area index and the photosynthesis are determinative
parameters, and all those factors together, modifying the effects of
each other, develop average yields.
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: Current study established for EEG signal analysis in
patients with language disorder. Language disorder can be defined as
meaningful delay in the use or understanding of spoken or written
language. The disorder can include the content or meaning of
language, its form, or its use. Here we applied Z-score, power
spectrum, and coherence methods to discriminate the language
disorder data from healthy ones. Power spectrum of each channel in
alpha, beta, gamma, delta, and theta frequency bands was measured.
In addition, intra hemispheric Z-score obtained by scoring algorithm.
Obtained results showed high Z-score and power spectrum in
posterior regions. Therefore, we can conclude that peoples with
language disorder have high brain activity in frontal region of brain
in comparison with healthy peoples. Results showed that high coherence correlates with irregularities
in the ERP and is often found during complex task, whereas low
coherence is often found in pathological conditions. The results of the
Z-score analysis of the brain dynamics showed higher Z-score peak
frequency in delta, theta and beta sub bands of Language Disorder
patients. In this analysis there were activity signs in both hemispheres
and the left-dominant hemisphere was more active than the right.
Abstract: High moisture content in fruits generates post-harvest
problems such as mechanical, biochemical, microbial and physical
losses. Dehydration, which is based on the reduction of water activity
of the fruit, is a common option for overcoming such losses.
However, regular hot air drying could affect negatively the quality
properties of the fruit due to the long residence time at high
temperature. Power ultrasound (US) application during the
convective drying has been used as a novel method able to enhance
drying rate and, consequently, to decrease drying time. In the present
study, a new approach was tested to evaluate the effect of US on the
drying time, the final antioxidant activity (AA) and the total
polyphenol content (TPC) of banana slices (BS), mango slices (MS)
and guava slices (GS). There were also studied the drying kinetics
with nine different models from which water effective diffusivities
(Deff) (with or without shrinkage corrections) were calculated.
Compared with the corresponding control tests, US assisted drying
for fruit slices showed reductions in drying time between 16.23 and
30.19%, 11.34 and 32.73%, and 19.25 and 47.51% for the MS, BS
and GS respectively. Considering shrinkage effects, Deff calculated
values ranged from 1.67*10-10 to 3.18*10-10 m2/s, 3.96*10-10 and
5.57*10-10 m2/s and 4.61*10-10 to 8.16*10-10 m2/s for the BS, MS and
GS samples respectively. Reductions of TPC and AA (as DPPH)
were observed compared with the original content in fresh fruit data
in all kinds of drying assays.
Abstract: Cloud Computing refers to applications delivered as
services over the internet, and the datacenters that provide those
services with hardware and systems software. These were earlier
referred to as Software as a Service (SaaS). Scheduling is justified by
job components (called tasks), lack of information. In fact, in a large
fraction of jobs from machine learning, bio-computing, and image
processing domains, it is possible to estimate the maximum time
required for a task in the job. This study focuses on Trust based
scheduling to improve cloud security by modifying Heterogeneous
Earliest Finish Time (HEFT) algorithm. It also proposes TR-HEFT
(Trust Reputation HEFT) which is then compared to Dynamic Load
Scheduling.
Abstract: Ceramic obtained on the base of aluminum oxide has
wide application range, because it has unique properties, for example,
wear-resistance, dielectric characteristics, and exploitation ability at
high temperatures and in corrosive atmosphere. Low temperature
synthesis of α-Al2O3 is energo-economical process and it is topical
for developing technologies of corundum ceramics fabrication. In the present work possibilities of low temperature transformation
of oxyhydroxides in α-Al2O3, during the presence of small amount of
rare–earth elements compounds (also Th, Re), have been discussed.
Aluminum unstable oxyhydroxides have been obtained by hydrolysis
of aluminium isopropoxide, nitrates, sulphate, and chloride in
alkaline environment at 80-90ºC temperatures. β-Al(OH)3 has been
received from aluminum powder by ultrasonic development. Drying
of oxyhydroxide sol has been conducted with presence of various
types seeds, which amount reaches 0,1-0,2% (mas). Neodymium,
holmium, thorium, lanthanum, cerium, gadolinium, disprosium
nitrates and rhenium carbonyls have been used as seeds and they
have been added to the sol specimens in amount of 0.1-0.2% (mas)
calculated on metals. Annealing of obtained gels is carried out at 70–
1100ºC for 2 hrs. The same specimen transforms in α-Al2O3 at
1100ºC. At this temperature in case of presence of lanthanum and
gadolinium transformation takes place by 70-85%. In case of
presence of thorium stabilization of γ-and θ-phases takes place. It is
established, that thorium causes inhibition of α-phase generation at
1100ºC, and at the time when in all other doped specimens α-phase is
generated at lower temperatures (1000-1050ºC). Synthesis of various
type compounds and simultaneous consolidation has developed in the
furnace of OXY-GON. Composite materials containing oxide and
non-oxide components close to theoretical data have been obtained in
this furnace respectively. During the work the following devices have
been used: X-ray diffractometer DRON-3M (Cu-Kα, Ni filter,
2º/min), High temperature vacuum furnace OXY-GON, electronic
scanning microscopes Nikon ECLIPSE LV 150, NMM-800TRF,
planetary mill Pulverisette 7 premium line, SHIMADZU Dynamic
Ultra Micro Hardness Tester, DUH-211S, Analysette 12 Dyna sizer.
Abstract: Recently, numerous documents including large
volumes of unstructured data and text have been created because of the
rapid increase in the use of social media and the Internet. Usually,
these documents are categorized for the convenience of users. Because
the accuracy of manual categorization is not guaranteed, and such
categorization requires a large amount of time and incurs huge costs.
Many studies on automatic categorization have been conducted to help
mitigate the limitations of manual categorization. Unfortunately, most
of these methods cannot be applied to categorize complex documents
with multiple topics because they work on the assumption that
individual documents can be categorized into single categories only.
Therefore, to overcome this limitation, some studies have attempted to
categorize each document into multiple categories. However, the
learning process employed in these studies involves training using a
multi-categorized document set. These methods therefore cannot be
applied to the multi-categorization of most documents unless
multi-categorized training sets using traditional multi-categorization
algorithms are provided. To overcome this limitation, in this study, we
review our novel methodology for extending the category of a
single-categorized document to multiple categorizes, and then
introduce a survey-based verification scenario for estimating the
accuracy of our automatic categorization methodology.
Abstract: For schools to be desirable places in which to work, it
is necessary for principals to recognise their teachers’ emotions, and
be sensitive to their needs. This necessitates that principals are
capable to correctly identify their emotionally intelligent behaviours
(EIBs) they need to use in order to be successful leaders. They also
need to have knowledge of their emotional intelligence and be able to
identify the factors and situations that evoke emotion at an
interpersonal level. If a principal is able to do this, then the control
and understanding of emotions and behaviours of oneself and others
could improve vastly. This study focuses on the interpersonal EIBS
of principals affecting the job satisfaction of teachers. The correlation
coefficients in this quantitative study strongly indicate that there is a
statistical significance between the respondents’ level of job
satisfaction, the rating of their principals’ EIBs and how they believe
their principals’ EIBs will affect their sense of job satisfaction. It can
be concluded from the data obtained in this study that there is a
significant correlation between the sense of job satisfaction of
teachers and their principals’ interpersonal EIBs. This means that the
more satisfied a teacher is at school, the more appropriate and
meaningful a principal’s EIBs will be. Conversely, the more
dissatisfied a teacher is at school the less appropriate and less
meaningful a principal’s interpersonal EIBs will be. This implies that
the leaders’ EIBs can be construed as one of the major factors
affecting the job satisfaction of employees.
Abstract: Clustering is a process of grouping objects and data
into groups of clusters to ensure that data objects from the same
cluster are identical to each other. Clustering algorithms in one of the
area in data mining and it can be classified into partition, hierarchical,
density based and grid based. Therefore, in this paper we do survey
and review four major hierarchical clustering algorithms called
CURE, ROCK, CHAMELEON and BIRCH. The obtained state of
the art of these algorithms will help in eliminating the current
problems as well as deriving more robust and scalable algorithms for
clustering.
Abstract: The knitted fabric suffers a deformation in its
dimensions due to stretching and tension factors, transverse and
longitudinal respectively, during the process in rectilinear knitting
machines so it performs a dry relaxation shrinkage procedure and
thermal action of prefixed to obtain stable conditions in the knitting.
This paper presents a dry relaxation shrinkage prediction of Bordeaux
fiber using a feed forward neural network and linear regression
models. Six operational alternatives of shrinkage were predicted. A
comparison of the results was performed finding neural network
models with higher levels of explanation of the variability and
prediction. The presence of different reposes is included. The models
were obtained through a neural toolbox of Matlab and Minitab
software with real data in a knitting company of Southern
Guanajuato. The results allow predicting dry relaxation shrinkage of
each alternative operation.
Abstract: An analytical 4-DOF nonlinear model of a de Laval
rotor-stator system based on Energy Principles has been used
theoretically and experimentally to investigate fault symptoms in a
rotating system. The faults, namely rotor-stator-rub, crack and
unbalance are modeled as excitations on the rotor shaft. Mayes
steering function is used to simulate the breathing behaviour of the
crack. The fault analysis technique is based on waveform signal,
orbits and Fast Fourier Transform (FFT) derived from simulated and
real measured signals. Simulated and experimental results manifest
considerable mutual resemblance of elliptic-shaped orbits and FFT
for a same range of test data.
Abstract: In this paper, we present a comparative study of three
methods of 2D face recognition system such as: Iso-Geodesic Curves
(IGC), Geodesic Distance (GD) and Geodesic-Intensity Histogram
(GIH). These approaches are based on computing of geodesic
distance between points of facial surface and between facial curves.
In this study we represented the image at gray level as a 2D surface in
a 3D space, with the third coordinate proportional to the intensity
values of pixels. In the classifying step, we use: Neural Networks
(NN), K-Nearest Neighbor (KNN) and Support Vector Machines
(SVM). The images used in our experiments are from two wellknown
databases of face images ORL and YaleB. ORL data base was
used to evaluate the performance of methods under conditions where
the pose and sample size are varied, and the database YaleB was used
to examine the performance of the systems when the facial
expressions and lighting are varied.
Abstract: Ocean current is always available around the
surrounding of SHELL Sabah Water Platform and data are collected
every 10 minutes, 24 hours a day, for a period of 365 days. Due to
low current speed, conventional hydrokinetic power generation is not
feasible, thus leading to the study of low current enabled vortex
induced vibration power generation application. In this case, the
design of a vortex induced vibration application is studied to obtain
an optimum design for the VIV oscillator. Power output is then
determined to study the feasibility of the VIV application in low
current condition.