Abstract: There is an evident trend to elevate pressure ratio of a
single stage of a turbo compressors - axial compressors in particular.
Whilst there was an opinion recently that a pressure ratio 1,9 was a
reasonable limit, later appeared information on successful modeling
tested of stages with pressure ratio up to 2,8. The authors recon that
lack of information on high pressure stages makes actual a study of
rational choice of design parameters before high supersonic flow
problems solving. The computer program of an engineering type was
developed. Below is presented a sample of its application to study
possible parameters of the impeller of the stage with pressure ratio
3,0. Influence of two main design parameters on expected efficiency,
periphery blade speed and flow structure is demonstrated. The results
had lead to choose a variant for further analysis and improvement by
CFD methods.
Abstract: Building loss estimation methodologies which have
been advanced considerably in recent decades are usually used to
estimate socio and economic impacts resulting from seismic structural
damage. In accordance with these methods, this paper presents the
evaluation of an annual loss probability of a reinforced concrete
moment resisting frame designed according to Korean Building Code.
The annual loss probability is defined by (1) a fragility curve obtained
from a capacity spectrum method which is similar to a method adopted
from HAZUS, and (2) a seismic hazard curve derived from annual
frequencies of exceedance per peak ground acceleration. Seismic
fragilities are computed to calculate the annual loss probability of a
certain structure using functions depending on structural capacity,
seismic demand, structural response and the probability of exceeding
damage state thresholds. This study carried out a nonlinear static
analysis to obtain the capacity of a RC moment resisting frame
selected as a prototype building. The analysis results show that the
probability of being extensive structural damage in the prototype
building is expected to 0.01% in a year.
Abstract: Company managers are always looking for more and
more opportunities to succeed in today's fiercely competitive market.
To maintain your place among the successful companies on the
market today or to come up with a revolutionary business idea is
much more difficult than before. Each new or improved method, tool,
or approach that can improve the functioning of business processes or
even of the entire system is worth checking and verification. The use
of simulation in the design of manufacturing systems and their
management in practice is one of the ways without increased risk,
which makes it possible to find the optimal parameters of
manufacturing processes and systems. The paper presents an example
of use of simulation for solution of the bottleneck problem in the
concrete company.
Abstract: The development, operation and maintenance of
Integrated Waste Management Systems (IWMS) affects essentially
the sustainable concern of every region. The features of such systems
have great influence on all of the components of sustainability. In
order to reach the optimal way of processes, a comprehensive
mapping of the variables affecting the future efficiency of the system
is needed such as analysis of the interconnections among the
components and modeling of their interactions. The planning of a
IWMS is based fundamentally on technical and economical
opportunities and the legal framework. Modeling the sustainability
and operation effectiveness of a certain IWMS is not in the scope of
the present research. The complexity of the systems and the large
number of the variables require the utilization of a complex approach
to model the outcomes and future risks. This complex method should
be able to evaluate the logical framework of the factors composing
the system and the interconnections between them. The authors of
this paper studied the usability of the Fuzzy Cognitive Map (FCM)
approach modeling the future operation of IWMS’s. The approach
requires two input data set. One is the connection matrix containing
all the factors affecting the system in focus with all the
interconnections. The other input data set is the time series, a
retrospective reconstruction of the weights and roles of the factors.
This paper introduces a novel method to develop time series by
content analysis.
Abstract: This study examines several critical dimensions of eservice
quality overlooked in the existing literature and proposes a
model and instrument framework for measuring customer perceived
e-service quality in the banking sector. The initial design was derived
from a pool of instrument dimensions and their items from the
existing literature review by content analysis. Based on focused
group discussion, nine dimensions were extracted. An exploratory
factor analysis approach was applied to data from a survey of 323
respondents. The instrument has been designed specifically for the
banking sector. Research data was collected from bank customers
who use electronic banking in a developing economy. A nine-factor
instrument has been proposed to measure the e-service quality. The
instrument has been checked for reliability. The validity and sample
place limited the applicability of the instrument across economies and
service categories. Future research must be conducted to check the
validity. This instrument can help bankers in developing economies
like India to measure the e-service quality and make improvements.
The present study offers a systematic procedure that provides insights
on to the conceptual and empirical comprehension of customer
perceived e-service quality and its constituents.
Abstract: This research study is an exploration of the selfdirected
professional development of teachers who teach in public
schools in an era of democracy and educational change in South
Africa. Amidst an ever-changing educational system, the teachers in
this study position themselves as self-directed teacher-learners where
they adopt particular learning practices which enable change within
the broader discourses of public schooling. Life-story interviews
were used to enter into the private and public spaces of five teachers
which offer glimpses of how particular systems shaped their
identities, and how the meanings of self-directed teacher-learner
shaped their learning practices. Through the Multidimensional
Framework of Analysis and Interpretation the teachers’ stories were
analysed through three lenses: restorying the field texts - the self
through story; the teacher-learner in relation to social contexts, and
practices of self-directed learning. This study shows that as teacherlearners
learn for change through self-directed learning practices,
they develop their agency as transformative intellectuals, which is
necessary for the reworking of South African public schools.
Abstract: Digital image correlation (DIC) is a contactless fullfield
displacement and strain reconstruction technique commonly
used in the field of experimental mechanics. Comparing with
physical measuring devices, such as strain gauges, which only
provide very restricted coverage and are expensive to deploy widely,
the DIC technique provides the result with full-field coverage and
relative high accuracy using an inexpensive and simple experimental
setup. It is very important to study the natural patterns effect on the
DIC technique because the preparation of the artificial patterns is
time consuming and hectic process. The objective of this research is
to study the effect of using images having natural pattern on the
performance of DIC. A systematical simulation method is used to
build simulated deformed images used in DIC. A parameter (subset
size) used in DIC can have an effect on the processing and accuracy
of DIC and even cause DIC to failure. Regarding to the picture
parameters (correlation coefficient), the higher similarity of two
subset can lead the DIC process to fail and make the result more
inaccurate. The pictures with good and bad quality for DIC methods
have been presented and more importantly, it is a systematic way to
evaluate the quality of the picture with natural patterns before they
install the measurement devices.
Abstract: Some regularities of formation of a new structural
state of the thermoplastic polymers - gradually oriented (stretched)
state (GOS) are discussed. Transition into GOS is realized by the
graded oriented stretching - by action of inhomogeneous mechanical
field on the isotropic linear polymers or by zone stretching that is
implemented on a standard tensile-testing machine with using a
specially designed zone stretching device (ZSD). Both technical
approaches (especially zone stretching method) allows to manage the
such quantitative parameters of gradually oriented polymers as a
range of change in relative elongation/orientation degree, length of
this change and profile (linear, hyperbolic, parabolic, logarithmic,
etc.). The possibility of obtaining functionally graded materials
(FGMs) by graded orientation method is briefly discussed. Uniaxial
graded stretching method should be considered as an effective
technological solution to create polymer materials with a
predetermined gradient of physical properties.
Abstract: A model reference adaptive control and a fixed gain
LQR control were implemented in the height controller of a quadrotor
that has parametric uncertainties due to the act of picking up an
object of unknown dimension and mass. It is shown that an adaptive
controller, unlike the fixed gain controller, is capable of ensuring a
stable tracking performance under such condition, although adaptive
control suffers from several limitations. The combination of both
adaptive and fixed gain control in the controller architecture can
result in an enhanced tracking performance in the presence parametric
uncertainties.
Abstract: In this paper a real-time obstacle avoidance approach
for both autonomous and non-autonomous dynamical systems (DS) is
presented. In this approach the original dynamics of the controller
which allow us to determine safety margin can be modulated.
Different common types of DS increase the robot’s reactiveness in
the face of uncertainty in the localization of the obstacle especially
when robot moves very fast in changeable complex environments.
The method is validated by simulation and influence of different
autonomous and non-autonomous DS such as important
characteristics of limit cycles and unstable DS. Furthermore, the
position of different obstacles in complex environment is explained.
Finally, the verification of avoidance trajectories is described through
different parameters such as safety factor.
Abstract: In this paper, Bayesian online inference in models of
data series are constructed by change-points algorithm, which
separated the observed time series into independent series and study
the change and variation of the regime of the data with related
statistical characteristics. variation of statistical characteristics of time
series data often represent separated phenomena in the some
dynamical system, like a change in state of brain dynamical reflected
in EEG signal data measurement or a change in important regime of
data in many dynamical system. In this paper, prediction algorithm
for studying change point location in some time series data is
simulated. It is verified that pattern of proposed distribution of data
has important factor on simpler and smother fluctuation of hazard
rate parameter and also for better identification of change point
locations. Finally, the conditions of how the time series distribution
effect on factors in this approach are explained and validated with
different time series databases for some dynamical system.
Abstract: In this paper, we considered and applied parametric
modeling for some experimental data of dynamical system. In this
study, we investigated the different distribution of output
measurement from some dynamical systems. Also, with variance
processing in experimental data we obtained the region of
nonlinearity in experimental data and then identification of output
section is applied in different situation and data distribution. Finally,
the effect of the spanning the measurement such as variance to
identification and limitation of this approach is explained.
Abstract: In this paper, model order reduction method is used
for approximation in linear and nonlinearity aspects in some
experimental data. This method can be used for obtaining offline
reduced model for approximation of experimental data and can
produce and follow the data and order of system and also it can
match to experimental data in some frequency ratios. In this study,
the method is compared in different experimental data and influence
of choosing of order of the model reduction for obtaining the best and
sufficient matching condition for following the data is investigated in
format of imaginary and reality part of the frequency response curve
and finally the effect and important parameter of number of order
reduction in nonlinear experimental data is explained further.
Abstract: Performance of different filtering approaches depends
on modeling of dynamical system and algorithm structure. For
modeling and smoothing the data the evaluation of posterior
distribution in different filtering approach should be chosen carefully.
In this paper different filtering approaches like filter KALMAN,
EKF, UKF, EKS and smoother RTS is simulated in some trajectory
tracking of path and accuracy and limitation of these approaches are
explained. Then probability of model with different filters is
compered and finally the effect of the noise variance to estimation is
described with simulations results.
Abstract: This paper presents a novel statistical description of
the counterpoise effective length due to lightning surges, where the
(impulse) effective length had been obtained by means of regressive
formulas applied to the transient simulation results. The effective
length is described in terms of a statistical distribution function, from
which median, mean, variance, and other parameters of interest could
be readily obtained. The influence of lightning current amplitude,
lightning front duration, and soil resistivity on the effective length has
been accounted for, assuming statistical nature of these parameters. A
method for determining the optimal counterpoise length, in terms of
the statistical impulse effective length, is also presented. It is based on
estimating the number of dangerous events associated with lightning
strikes. Proposed statistical description and the associated method
provide valuable information which could aid the design engineer in
optimising physical lengths of counterpoises in different grounding
arrangements and soil resistivity situations.
Abstract: In Brazil, neonatal mortality rate is considered
incompatible with the country development conditions, and has been
a Public Health concern. Reduction in infant mortality rates has also
been part of the Millennium Development Goals, a commitment
made by countries, members of the Organization of United Nations
(OUN), including Brazil. Fetal mortality rate is considered a highly
sensitive indicator of health care quality. Suitable actions, such as
good quality and access to health services may contribute positively
towards reduction in these fetal and neonatal rates. With appropriate
antenatal follow-up and health care during gestation and delivery,
some death causes could be reduced or even prevented by means of
early diagnosis and intervention, as well as changes in risk factors
and interventions. Objectives: To study the quality of maternal and
infant health care based on fetal and neonatal mortality, as well as the
possible actions to prevent those deaths in Botucatu (Brazil).
Methods: Classification of prevention according to the International
Classification of Diseases and the modified Wigglesworth´s
classification. In order to evaluate adequacy, indicators of quality of
antenatal and delivery care were established by the authors. Results:
Considering fetal deaths, 56.7% of them occurred before delivery,
which reveals possible shortcomings in antenatal care, and 38.2% of
them were a result of intra- labor changes, which could be prevented
or reduced by adequate obstetric management. These findings were
different from those in the group of early neonatal deaths which were
also studied. Adequacy of health services showed that antenatal and
childbirth care was appropriate for 24% and 33.3% of pregnant
women, respectively, which corroborates the results of prevention.
These results revealed that shortcomings in obstetric and antenatal
care could be the causes of deaths in the study. Early and late
neonatal deaths have similar characteristics: 76% could be prevented
or reduced mainly by adequate newborn care (52.9%) and adequate
health care for gestational women (11.7%). When adequacy of care
was evaluated, childbirth and newborn care was adequate in 25.8%
and antenatal care was adequate in 16.1%. In conclusion, direct
relationship was found between adequacy and quality of care
rendered to pregnant women and newborns, and fetal and infant
mortality. Moreover, our findings highlight that deaths could be
prevented by an adequate obstetric and neonatal management.
Abstract: The aim of this study was to design and simulate a
particular type of Asynchronous State Machine (ASM), namely a
‘traffic light controller’ (TLC), operated at a frequency of 0.5 Hz.
The design task involved two main stages: firstly, designing a 4-bit
binary counter using J-K flip flops as the timing signal and,
subsequently, attaining the digital logic by deploying ASM design
process. The TLC was designed such that it showed a sequence of
three different colours, i.e. red, yellow and green, corresponding to
set thresholds by deploying the least number of AND, OR and NOT
gates possible. The software Multisim was deployed to design such
circuit and simulate it for circuit troubleshooting in order for it to
display the output sequence of the three different colours on the
traffic light in the correct order. A clock signal, an asynchronous 4-
bit binary counter that was designed through the use of J-K flip flops
along with an ASM were used to complete this sequence, which was
programmed to be repeated indefinitely. Eventually, the circuit was
debugged and optimized, thus displaying the correct waveforms of
the three outputs through the logic analyser. However, hazards
occurred when the frequency was increased to 10 MHz. This was
attributed to delays in the feedback being too high.
Abstract: In and around Erode District, it is estimated that more
than 1250 chemical and allied textile processing fabric industries are
affected, partially closed and shut off for various reasons such as poor
management, poor supplier performance, lack of planning for
productivity, fluctuation of output, poor investment, waste analysis,
labor problems, capital/labor ratio, accumulation of stocks, poor
maintenance of resources, deficiencies in the quality of fabric, low
capacity utilization, age of plant and equipment, high investment and
input but low throughput, poor research and development, lack of
energy, workers’ fear of loss of jobs, work force mix and work ethic.
The main objective of this work is to analyze the existing conditions
in textile fabric sector, validate the break even of Total Productivity
(TP), analyze, design and implement fuzzy sets and mathematical
programming for improvement of productivity and quality
dimensions in the fabric processing industry. It needs to be
compatible with the reality of textile and fabric processing industries.
The highly risk events from productivity and quality dimension were
found by fuzzy systems and results are wrapped up among the textile
fabric processing industry.
Abstract: Code- mixing in spontaneous speech has been widely
discussed, but not in virtual situations; especially in context of the
third language learning students. Thus, this study is an attempt to
explore the linguistic characteristics of the mixing of Japanese,
English and Thai in a mobile Line chat room by students with their
background of English as L2, Japanese as L3 and Thai as mother
tongue. The result found that insertion of Thai content words is a very
common linguistic phenomenon embedded with the other two
languages in the sentences. As chatting is to be ‘relational’ or
‘interactional’, it affected the style of lexical choices to be speech-like,
more personal and emotionally-related. A personal pronoun in
Japanese is often mixed into the sentences. The Japanese
sentence-final question particle か “ka” was added to the end of the
sentence based on Thai grammar rules. Some unique characteristics
were created while chatting.
Abstract: Risperidone (RISP) is an antipsychotic agent and has
low water solubility and nontargeted delivery results in numerous
side effects. Hence, an attempt was made to develop SLNs hydrogel
for intranasal delivery of RISP to achieve maximum bioavailability
and reduction of side effects. RISP loaded SLNs composed of 1.65%
(w/v) lipid mass were produced by high shear homogenization (HSH)
coupled ultrasound (US) method using glycerylmonostearate (GMS)
or Imwitor 900K (solid lipid). The particles were loaded with 0.2%
(w/v) of the RISP & surface-tailored with a 2.02% (w/v) non-ionic
surfactant Tween® 80. Optimization was done using 32 factorial
design using Design Expert® software. The prepared SLNs
dispersion incorporated into Polycarbophil AA1 hydrogel (0.5%
w/v). The final gel formulation was evaluated for entrapment
efficiency, particle size, rheological properties, X ray diffraction, in
vitro diffusion, ex vivo permeation using sheep nasal mucosa and
histopathological studies for nasocilliary toxicity. The entrapment
efficiency of optimized SLNs was found to be 76 ± 2%,
polydispersity index