Abstract: In this work, we are interested in developing a speech denoising tool by using a discrete wavelet packet transform (DWPT). This speech denoising tool will be employed for applications of recognition, coding and synthesis. For noise reduction, instead of applying the classical thresholding technique, some wavelet packet nodes are set to zero and the others are thresholded. To estimate the non stationary noise level, we employ the spectral entropy. A comparison of our proposed technique to classical denoising methods based on thresholding and spectral subtraction is made in order to evaluate our approach. The experimental implementation uses speech signals corrupted by two sorts of noise, white and Volvo noises. The obtained results from listening tests show that our proposed technique is better than spectral subtraction. The obtained results from SNR computation show the superiority of our technique when compared to the classical thresholding method using the modified hard thresholding function based on u-law algorithm.
Abstract: The current education system in India is adept in
equipping and assessing the scholastic development of children.
However, there is an immediate need to strengthen co-scholastic
areas like life-skills, values and attitudes to equip students to face real
life challenges. Audio-visual technology and their respective media
can make a significant contribution to a value based learning
curriculum. Thus, co-scholastic skills need to be effectively nurtured
by a medium that is entertaining and impactful. Films in general have
a tremendous impact in our society. Films with a positive message
make a formidable learning experience that can influence and inspire
generations of learners. Leveraging on this powerful medium,
EduMedia India Pvt. Ltd. has introduced School Cinema a well
researched film-based learning module supported by a fun and
exciting workbook, designed to introduce and reaffirm life-skills and
values to children, thereby having a positive influence on their
attitudes.
Abstract: The presented article deals with the description of a
numerical model of a corridor at a Central Interim Spent Fuel Storage
Facility (hereinafter CISFSF). The model takes into account the
effect of air flows on the temperature of stored waste. The
computational model was implemented in the ANSYS/CFX
programming environment in the form of a CFD task solution, which
was compared with an approximate analytical calculation. The article
includes a categorization of the individual alternatives for the
ventilation of such underground systems. The aim was to evaluate a
ventilation system for a CISFSF with regard to its stability and
capacity to provide sufficient ventilation for the removal of heat
produced by stored casks with spent nuclear fuel.
Abstract: This study examines the issue of recommendation
sources from the perspectives of gender and consumers- perceived
risk, and validates a model for the antecedents of consumer online
purchases. The method of obtaining quantitative data was that of the
instrument of a survey questionnaire. Data were collected via
questionnaires from 396 undergraduate students aged 18-24, and a
multiple regression analysis was conducted to identify causal
relationships. Empirical findings established the link between
recommendation sources (word-of-mouth, advertising, and
recommendation systems) and the likelihood of making online
purchases and demonstrated the role of gender and perceived risk as
moderators in this context. The results showed that the effects of
word-of-mouth on online purchase intentions were stronger than those
of advertising and recommendation systems. In addition, female
consumers have less experience with online purchases, so they may be
more likely than males to refer to recommendations during the
decision-making process. The findings of the study will help
marketers to address the recommendation factor which influences
consumers- intention to purchase and to improve firm performances to
meet consumer needs.
Abstract: The study of interaction among the grain, moisture,
and the surrounding space (air) is key to understanding the graindrying
process. In Iran, rice (mostly Indica type) is dried by flat
bed type dryer until the final MC reaches to 6 to 8%. The
experiments were conducted to examine the effect of application of
discharge fan with different heights of paddy on the drying
efficiency. Experiments were designed based on two different
configurations of the drying methods; with and without discharge
fan with three different heights of paddy including; 5, 10, and 15
cm. The humid heated air will be going out immediately by the
suction of discharge fan. The drying time is established upon the
average final MC to achieve about 8%. To save energy and reduce
the drying time, the distribution of temperature between layers
should be fast and uniform with minimum difference; otherwise
the difference of MC gradient between layers will be high and will
induce grain breakage. The difference of final MC between layers
in the two methods was 48-73%. The steady state of temperature
between the two methods has saved time in the range of 10-20%,
and the efficiency of temperature distribution increased 17-26% by
the use of discharge fan.
Abstract: The CMLP building was developed to be a model for
sustainability with strategies to reduce water, energy and pollution,
and to provide a healthy environment for the building occupants. The
aim of this paper is to investigate the environmental effects of energy
used by this building. A LCA (life cycle analysis) was led to measure
the real environmental effects produced by the use of energy. The
impact categories most affected by the energy use were found to be
the human health effects, as well as ecotoxicity. Natural gas
extraction, uranium milling for nuclear energy production, and the
blasting for mining and infrastructure construction are the processes
contributing the most to emissions in the human health effect. Data
comparing LCA results of CMLP building with a conventional
building results showed that energy used by the CMLP building has
less damage for the environment and human health than a
conventional building.
Abstract: In the present paper some recommendations for the
use of software package “Mathematica" in a basic numerical analysis
course are presented. The methods which are covered in the course
include solution of systems of linear equations, nonlinear equations
and systems of nonlinear equations, numerical integration,
interpolation and solution of ordinary differential equations. A set of
individual assignments developed for the course covering all the
topics is discussed in detail.
Abstract: This research details a Computational Fluid Dynamics (CFD) approach to model fluid flow in a journal bearing with 8 equispaced semi-circular axial grooves. Water is used as the lubricant and is fed from one end of the bearing to the other, under pressure. The geometry of the bearing is modeled using a commercially available modeling software GAMBIT and the flow analysis is performed using a dedicated CFD analysis software FLUENT. The pressure distribution in the bearing clearance is obtained from FLUENT for various whirl ratios and is used to calculate the hydrodynamic force components in the radial and tangential direction of the bearing. These values along with the various whirl speeds can be used to do a regression analysis to determine the stiffness and damping coefficients. The values obtained are then compared with the stiffness and damping coefficients of a 3 Axial groove water lubricated journal bearing and those obtained from a FORTRAN code for a similar bearing.
Abstract: The purpose of this study is mainly to predict collision
frequency on the horizontal tangents combined with vertical curves
using artificial neural network methods. The proposed ANN models
are compared with existing regression models. First, the variables
that affect collision frequency were investigated. It was found that
only the annual average daily traffic, section length, access density,
the rate of vertical curvature, smaller curve radius before and after
the tangent were statistically significant according to related
combinations. Second, three statistical models (negative binomial,
zero inflated Poisson and zero inflated negative binomial) were
developed using the significant variables for three alignment
combinations. Third, ANN models are developed by applying the
same variables for each combination. The results clearly show that
the ANN models have the lowest mean square error value than those
of the statistical models. Similarly, the AIC values of the ANN
models are smaller to those of the regression models for all the
combinations. Consequently, the ANN models have better statistical
performances than statistical models for estimating collision
frequency. The ANN models presented in this paper are
recommended for evaluating the safety impacts 3D alignment
elements on horizontal tangents.
Abstract: The purpose of this paper is to demonstrate the ability
of a genetic programming (GP) algorithm to evolve a team of data
classification models. The GP algorithm used in this work is
“multigene" in nature, i.e. there are multiple tree structures (genes)
that are used to represent team members. Each team member assigns
a data sample to one of a fixed set of output classes. A majority vote,
determined using the mode (highest occurrence) of classes predicted
by the individual genes, is used to determine the final class
prediction. The algorithm is tested on a binary classification problem.
For the case study investigated, compact classification models are
obtained with comparable accuracy to alternative approaches.
Abstract: Technology transfer by international trade and
foreign direct investment is the most important positive
outcome of open economy. It is widely accepted that new
technology and knowledge have an important role in
enhancing economic growth. Human capital is the other
important factor assisting economic growth. In this study, the
role of human capital in the growth process is examined in a
view of new endogenous growth theory emphasizing on the
technology transfer resulting from international trade. Using
the panel data of 10 developed and 10 developing countries,
impact of human capital and openness on the rate of economic
growth of different countries is analysed. Evidence suggests
the view that human capital and openness contribute to the
economic growth in both developing and developed countries,
but with different rates.
Abstract: System is using multiple processors for computing and information processing, is increasing rapidly speed operation of these systems compared with single processor systems, very significant impact on system performance is increased .important differences to yield a single multi-processor cpu, the scheduling policies, to reduce the implementation time of all processes. Notwithstanding the famous algorithms such as SPT, LPT, LSPT and RLPT for scheduling and there, but none led to the answer are not optimal.In this paper scheduling using genetic algorithms and innovative way to finish the whole process faster that we do and the result compared with three algorithms we mentioned.
Abstract: This paper compares the heuristic Global Search
Techniques; Genetic Algorithm, Particle Swarm Optimization,
Simulated Annealing, Generalized Pattern Search, genetic algorithm
hybridized with Nelder–Mead and Generalized pattern search
technique for tuning of fuzzy PID controller for Puma 560. Since the
actual control is in joint space ,inverse kinematics is used to generate
various joint angles correspoding to desired cartesian space
trajectory. Efficient dynamics and kinematics are modeled on Matlab
which takes very less simulation time. Performances of all the tuning
methods with and without disturbance are compared in terms of ITSE
in joint space and ISE in cartesian space for spiral trajectory tracking.
Genetic Algorithm hybridized with Generalized Pattern Search is
showing best performance.
Abstract: In films, visual effects have played the role of
expressing realities more realistically or describing imaginations as if
they are real. Such images are immediated images representing
realism, and the logic of immediation for the reality of images has
been perceived dominant in visual effects. In order for immediation to
have an identity as immediation, there should be the opposite concept
hypermediation.
In the mid 2000s, hypermediated images were settled as a code of
mass culture in Asia. Thus, among Asian films highly popular in those
days, this study selected five displaying hypermediated images – 2 Korean, 2 Japanese, and 1 Thailand movies – and examined the
semiotic meanings of such images using Roland Barthes- directional and implicated meaning analysis and Metz-s paradigmatic analysis
method, focusing on how hypermediated images work in the general
context of the films, how they are associated with spaces, and what
meanings they try to carry.
Abstract: Business rules are widely used within the services
sector. They provide consistency and allow relatively unskilled staff
to process complex transactions correctly. But there are many
examples where the rules themselves have an impact on the costs and
profits of an organisation. Financial services, transport and human
services are areas where the rules themselves can impact the bottom
line in a predictable way. If this is the case, how can we find that set
of rules that maximise profit, performance or customer service, or
any other key performance indicators? The manufacturing, energy
and process industries have embraced mathematical optimisation
techniques to improve efficiency, increase production and so on. This
paper explores several real world (but simplified) problems in the
services sector and shows how business rules can be optimised. It
also examines the similarities and differences between the service
and other sectors, and how optimisation techniques could be used to
deliver similar benefits.
Abstract: Milk is a very important nutrient. Low productivity is
a problem of Turkish dairy farming. During recent years, Turkish government has supported cooperatives that assist milk producers and
encouraged farmers to become cooperative members. Turkish
government established several ways to support specially smallholders. For example Ministry of Agriculture and Rural Affairs
(MARA) provided two to four cows to villagers on a grant or loan basis with a long repayment period at low interest rates by
cooperatives. Social Support Project in Rural Areas (SSPRA) is
another support program targeting only disadvantaged people,
especially poor villager. Both programs have a very strong social
support component and similar objectives. But there are minor
differences between them in terms of target people, terms and conditions of the credit supplied Isparta province in Mediterranean region of Turkey is one of the
supported regions. MARA distributed dairy cows to 1072 farmers through 16 agricultural cooperatives in Isparta province in the context
of SSPRA. In this study, economic-social impacts on dairy cattle project
implemented through cooperatives were examined in Isparta. Primary data were collected from 12 cooperatives- president. The
data were obtained by personal interview through a questionnaire and
to cooperatives and given to farms benefiting from the project in
order to reveal the economic and social developments.
Finding of the study revealed that project provided new job
opportunities and improved quality of livestock. It was found that producers who benefited from the project were more willing to
participate in cooperative or other producer organizations.
Abstract: Steel made pipelines with different diameters are used
for transmitting oil and gas which in many cases are buried in soil
under the sea bed or immersed in sea water. External corrosion of
pipes is an important form of deterioration due to the aggressive
environment of sea water. Corrosion normally results in pits. Hence,
using the finite element method, namely ABAQUS software, this
paper estimates the amount of pressure capacity reduction of a pipecontaining
a semi-elliptical pitting corrosion and the rate of corrosion
during the pipeline life of 25 years.
Abstract: In this research work, a novel parallel manipulator
with high positioning and orienting rate is introduced. This
mechanism has two rotational and one translational degree of
freedom. Kinematics and Jacobian analysis are investigated.
Moreover, workspace analysis and optimization has been performed
by using genetic algorithm toolbox in Matlab software. Because of
decreasing moving elements, it is expected much more better
dynamic performance with respect to other counterpart mechanisms
with the same degrees of freedom. In addition, using couple of
cylindrical and revolute joints increased mechanism ability to have
more extended workspace.
Abstract: The objective of this study is to identify the factors
that influence the online purchasing loyalty for Thai herbal products.
Survey research is used to gather data from Thai herb online
merchants to assess factors that have impacts on enhancing loyalty.
Data were collected from 300 online customers who had experience
in online purchasing of Thai Herbal products. Prior experience
consists of data from previous usage of online herbs, herb purchase
and internet usage. E-Quality data consists of information quality,
system quality, service quality and the product quality of Thai herbal
products sold online. The results suggest that prior experience, Equality,
attitude toward purchase and trust in online merchant have
major impacts on loyalty. The good attitude and E-Quality of
purchasing Thai herbal product online are the most significant
determinants affecting loyalty.
Abstract: e-mail has become an important means of electronic
communication but the viability of its usage is marred by Unsolicited
Bulk e-mail (UBE) messages. UBE consists of many types
like pornographic, virus infected and 'cry-for-help' messages as well
as fake and fraudulent offers for jobs, winnings and medicines. UBE
poses technical and socio-economic challenges to usage of e-mails.
To meet this challenge and combat this menace, we need to
understand UBE. Towards this end, the current paper presents a
content-based textual analysis of nearly 3000 winnings-announcing
UBE. Technically, this is an application of Text Parsing and
Tokenization for an un-structured textual document and we approach
it using Bag Of Words (BOW) and Vector Space Document Model
techniques. We have attempted to identify the most frequently
occurring lexis in the winnings-announcing UBE documents. The
analysis of such top 100 lexis is also presented. We exhibit the
relationship between occurrence of a word from the identified lexisset
in the given UBE and the probability that the given UBE will be
the one announcing fake winnings. To the best of our knowledge and
survey of related literature, this is the first formal attempt for
identification of most frequently occurring lexis in winningsannouncing
UBE by its textual analysis. Finally, this is a sincere
attempt to bring about alertness against and mitigate the threat of
such luring but fake UBE.