Abstract: In this work, our goal is to optimize the nitriding treatment at a low-temperature of the steel 32CrMoV13 using gas mixtures of ammonia, nitrogen and hydrogen to improve the mechanical properties of the surface (good wear resistance, friction and corrosion), and of the diffusion layer of the nitrogen (good resistance to fatigue and good tenacity with heart). By limiting our work to the pure iron and to the alloys iron-chromium and iron-chromium-carbon, we have studied the various parameters which manage the nitriding: flow rate and composition of the gaseous phase, the interaction chromium-nitrogen and chromium-carbon by the help of experiments of nitriding realized in the laboratory by thermogravimetry. The acquired knowledge has been applied by the mastery of the growth of the γ' combination layer on the α diffusion layer in the case of the industrial steel 32CrMoV13.
Abstract: Agricultural machinery industry plays an important
role in the industrial development especially the production industry
of the country. There has been continuing development responding to
the higher demand of the production. However, the problem in
agricultural machinery production still exists. Thus, the purpose of
this research is to investigate problems on fundamental factors of
industry based on the entrepreneurs’ point of view. The focus was on
the small and medium size industry receiving factory license type
number 0660 from the Department of Industrial Works. The
investigation was on the comparison between the management of the
small and medium size agricultural industry in 3 provinces in the
central region of Thailand. Population in this study consisted of 189
company managers or managing directors, of which 101 were from
the small size and 88 were from the medium size industry. The data
were analyzed to find percentage, arithmetic mean, and standard
deviation with independent sample T-test at the statistical
significance .05. The results showed that the small and medium size
agricultural machinery manufacturers in the central region of
Thailand reported high problems in every aspect. When compared the
problems on basic factors in running the business, it was found that
there was no statistically difference at .05 in managing of the small
and medium size agricultural machinery manufacturers. However,
there was a statistically significant difference between the small and
medium size agricultural machinery manufacturers on the aspect of
policy and services of the government. The problems reported by the
small and medium size agricultural machinery manufacturers were
the services on public tap water and the problem on politic and
stability of the country.
Abstract: The ASEAN Economic Community (AEC) is the goal
of regional economic integration by 2015. In the region, tourism is an
activity that is important, especially as a source of foreign currency, a
source of employment creation and a source of income bringing to the
region. Given the complexity of the issues entailing the concept of
sustainable tourism, this paper tries to assess tourism sustainability
with the ASEAN, based on a number of quantitative indicators for all
the ten economies, Thailand, Myanmar, Laos, Vietnam, Malaysia,
Singapore, Indonesia, Philippines, Cambodia, and Brunei. The
methodological framework will provide a number of benchmarks of
tourism activities in these countries. They include identification of the
dimensions; for example, economic, socio-ecologic, infrastructure
and indicators, method of scaling, chart representation and evaluation
on Asian countries. This specification shows that a similar level of
tourism activity might introduce different implementation in the
tourism activity and might have different consequences for the socioecological
environment and sustainability. The heterogeneity of
developing countries exposed briefly here would be useful to detect
and prepare for coping with the main problems of each country in
their tourism activities, as well as competitiveness and value creation
of tourism for ASEAN economic community, and will compare with
other parts of the world.
Abstract: Biochar can be produced from the waste matter and its
application has been associated with returning of carbon in large
amounts into the soil. The impacts of this material on physical and
chemical properties of soil have been described. The biggest part of
the research work is dedicated to the hypothesis of this material’s
toxic effects on the soil life regarding its effect on the soil biological
component. At present, it has been worked on methods which could
eliminate these undesirable properties of biochar. One of the
possibilities is to mix biochar with organic material, such as compost,
or focusing on the natural processes acceleration in the soil. In the
experiment has been used as the addition of compost as well as the
elimination of toxic substances by promoting microbial activity in
aerated water environment. Biochar was aerated for 7 days in a
container with a volume of 20 l. This way modified biochar had six
times higher biomass production and reduce mineral nitrogen
leaching. Better results have been achieved by mixing biochar with
compost.
Abstract: Ensuring of continuity of business is basic strategy of
every company. Continuity of organization activities includes
comprehensive procedures that help in solving unexpected situations
of natural and anthropogenic character (for example flood, blaze,
economic situations). Planning of continuity operations is a process
that helps identify critical processes and implement plans for the
security and recovery of key processes. The aim of this article is to
demonstrate application of system approach to managing business
continuity called business continuity management systems in military
issues. This article describes the life cycle of business continuity
management which is based on the established cycle PDCA (Plan-
Do-Check-Act). After this is carried out by activities which are
making by University of Defence during activation of forces and
means of the integrated rescue system in case of emergencies -
accidents at a nuclear power plant in Czech Republic. Activities of
various stages of deployment earmarked forces and resources are
managed and evaluated by using MCMS application (Military
Continuity Management System).
Abstract: The myocardium is composed of specialized muscle
which relies mainly on fatty acid and sugar metabolism and it is
widely contribute to the heart functioning. The changes of the cardiac
energy-producing system during heart failure have been proved using
autoradiography techniques. This study focused on evaluating sugar
and fatty acid metabolism in myocardium as cardiac energy getting
system using heart-accumulated radiopharmaceuticals. Two sets of
autoradiographs of heart cross sections of Lewis male rats were
analyzed and the time- accumulation curve obtained with use of the
MATLAB image processing software to evaluate fatty acid and sugar
metabolic functions.
Abstract: Now, the use of renewable energy power generation
has been advanced. In this paper, we compared the usable amount of
resource for photovoltaic power generation which was estimated using
the NEDO formula and the expansion support policy of photovoltaic
power generation which was researched using Internet in the
municipality level in Hokkaido and Aichi Prefecture, Japan. This
paper will contribute to grasp the current situation especially about the
policy. As a result, there were municipalities which seemed to be no
consideration of fitting the amount of resources. We think it would
need to consider the suitability between the resources and policies.
Abstract: Job satisfaction and motivation have been given an
important attention in psychology because they are seen as main
instruments in maintaining organizational growth and development;
they are also used to accomplish organizational aims and objectives.
However, it has been observed that some institutions failed in
motivating and stimulating their workers; in contrast, workers may be
motivated but not satisfied with the job and failed to perform
efficiently and effectively. It is hoped that the study of this nature
would be of significance value to all stakeholders in education
specifically, lecturers in higher institutions in Nigeria. Also, it is
hoped that the findings of this study will enhance lecturers’
effectiveness and performance in discharging their duties. In the light
of the above statements, this study investigated whether job
satisfaction and motivation predict lecturers’ effectiveness in Nigeria
Police Academy, Wudil, Kano State. Correlational research method
was adopted for the study, while purposive sampling technique was
used to choose the institution and the sampled lectures (70). Simple
random sampling technique was used to select one hundred cadets
across the academy. Two instruments were used to elicit information
from both lecturers and cadets. These were job satisfaction and
motivation; and lecturers’ effectiveness Questionnaires. The
instruments were subjected to pilot testing and found to have
reliability coefficient of 0.69 and 0.71 respectively. The results of the
study revealed that there was a significance relationship among job
satisfaction, motivation and lecturers effectiveness in Nigeria Police
Academy. There was a significance relationship between job
satisfaction and lecturers’ effectiveness in Nigeria Police Academy
the cal r is 0.21 while the crt r is 0.19. at p
Abstract: Present empirical paper investigates the relationship
between FDI and economic growth by 10 selected industries in 10
Central and Eastern European countries from the period 1995 to
2012. Different estimation approaches were used to explore the
connection between FDI and economic growth, for example OLS,
RE, FE with and without time dummies. Obtained empirical results
leads to some main consequences: First, the Central and East
European countries (CEEC) attracted foreign direct investment,
which raised the productivity of industries they entered in. It should
be concluded that the linkage between FDI and output growth by
industries is positive and significant enough to suggest that foreign
firm’s participation enhanced the productivity of the industries they
occupied. There had been an endogeneity problem in the regression
and fixed effects estimation approach was used which partially
corrected the regression analysis in order to make the results less
biased. Second, it should be stressed that the results show that time
has an important role in making FDI operational for enhancing output
growth by industries via total factor productivity. Third, R&D
positively affected economic growth and at the same time, it should
take some time for research and development to influence economic
growth. Fourth, the general trends masked crucial differences at the
country level: over the last 20 years, the analysis of the tables and
figures at the country level show that the main recipients of FDI of
the 11 Central and Eastern European countries were Hungary, Poland
and the Czech Republic. The main reason was that these countries
had more open door policies for attracting the FDI. Fifth, according
to the graphical analysis, while Hungary had the highest FDI inflow
in this region, it was not reflected in the GDP growth as much as in
other Central and Eastern European countries.
Abstract: A three-dimensional numerical simulation of flow
through mini and microchannels with designed roughness is
conducted here. The effect of the roughness height (surface
roughness), geometry, Reynolds number on the friction factor, and
Nusselt number is investigated. The study is carried out by
employing CFD software, CFX. Our work focuses on a water flow
inside a circular mini-channel of 1 mm and microchannels of 500 and
100 m in diameter. The speed entry varies from 0.1 m/s to 20 m/s.
The general trend can be observed that bigger sizes of roughness
element lead to higher flow resistance. It is found that the friction
factor increases in a nonlinear fashion with the increase in obstruction
height. Particularly, the effect of roughness can no longer be ignored
at relative roughness height higher than 3%. A significant increase in
Poiseuille number is detected for all configurations considered. The
same observation can be done for Nusselt number. The transition
zone between laminar and turbulent flow depends on the channel
diameter.
Abstract: The goal of this paper is to specify factors influencing
the profitability of selected banks. Next, a model will be created to
help establish variables that have a demonstrable influence on the
development of the selected banks' profitability ratios. Czech banks
and their international parent companies were selected for analyzing
profitability. Banks categorized as large banks (according to the
Czech National Bank's system, which ranks banks according to
balance sheet total) were selected to represent the Czech banks. Two
ratios, the return on assets ratio (ROA) and the return on equity ratio
(ROE) are used to assess bank profitability. Six endogenous and four
external indicators were selected from among other factors that
influence bank profitability. The data analyzed were for 2001–2013.
First, correlation analysis, which was supposed to eliminate
correlated values, was conducted. A large number of correlated
values were established on the basis of this analysis. The strongly
correlated values were omitted. Despite this, the subsequent
regression analysis of profitability for the individual banks that were
selected did not confirm that the selected variables influenced their
profitability. The studied factors' influence on bank profitability was
demonstrated only for Ceskoslovenska Obchodni Banka and Société
Générale using regression analysis. For Československa Obchodni
Banka, it was demonstrated that inflation level and the amount of the
central bank's interest rate influenced the return on assets ratio and
that capital adequacy and market concentration influenced the return
on equity ratio for Société Générale.
Abstract: We regard forecasting of energy consumption by
private production areas of a large industrial facility as well as by the
facility itself. As for production areas, the forecast is made based on
empirical dependencies of the specific energy consumption and the
production output. As for the facility itself, implementation of the
task to minimize the energy consumption forecasting error is based
on adjustment of the facility’s actual energy consumption values
evaluated with the metering device and the total design energy
consumption of separate production areas of the facility. The
suggested procedure of optimal energy consumption was tested based
on the actual data of core product output and energy consumption by
a group of workshops and power plants of the large iron and steel
facility. Test results show that implementation of this procedure gives
the mean accuracy of energy consumption forecasting for winter
2014 of 0.11% for the group of workshops and 0.137% for the power
plants.
Abstract: Gladiolus is an important cash crop and is grown
mainly for its elegant spikes. Traditionally the gladiolus corms are
planted manually which is very tedious, time consuming and labor
intensive operation. So far, there is no planter available for planting
of gladiolus corms. With a view to mechanize the planting operation
of this horticultural crop, a prototype of 4-row gladiolus planter was
developed and its performance was evaluated in-situ condition. Cupchain
type metering device was used to place each single gladiolus
corm in furrow at required spacing while planting. Three levels of
corm spacing viz 15, 20 and 25 cm and four levels of forward speed
viz 1.0, 1.5, 2.0 and 2.5 km/h was taken as evaluation parameter for
the planter. The performance indicators namely corm spacing in each
row, coefficient of uniformity, missing index, multiple index, quality
of feed index, number of corms per meter length, mechanical damage
to the corms etc. were determined during the field test. The data was
statistically analyzed using Completely Randomized Design (CRD)
for testing the significance of the parameters. The result indicated
that planter was able to drop the corms at required nominal spacing
with minor variations. The highest deviation from the mean corm
spacing was observed as 3.53 cm with maximum coefficient of
variation as 13.88%. The highest missing and quality of feed indexes
were observed as 6.33% and 97.45% respectively with no multiples.
The performance of the planter was observed better at lower forward
speed and wider corm spacing. The field capacity of the planter was
found as 0.103 ha/h with an observed field efficiency of 76.57%.
Abstract: Sentiment analysis means to classify a given review
document into positive or negative polar document. Sentiment
analysis research has been increased tremendously in recent times
due to its large number of applications in the industry and academia.
Sentiment analysis models can be used to determine the opinion of
the user towards any entity or product. E-commerce companies can
use sentiment analysis model to improve their products on the basis
of users’ opinion. In this paper, we propose a new One-class Support
Vector Machine (One-class SVM) based sentiment analysis model
for movie review documents. In the proposed approach, we initially
extract features from one class of documents, and further test the
given documents with the one-class SVM model if a given new test
document lies in the model or it is an outlier. Experimental results
show the effectiveness of the proposed sentiment analysis model.
Abstract: We present probabilistic multinomial Dirichlet
classification model for multidimensional data and Gaussian process
priors. Here, we have considered efficient computational method that
can be used to obtain the approximate posteriors for latent variables
and parameters needed to define the multiclass Gaussian process
classification model. We first investigated the process of inducing a
posterior distribution for various parameters and latent function by
using the variational Bayesian approximations and important sampling
method, and next we derived a predictive distribution of latent
function needed to classify new samples. The proposed model is
applied to classify the synthetic multivariate dataset in order to verify
the performance of our model. Experiment result shows that our model
is more accurate than the other approximation methods.
Abstract: This paper introduces an effective method of
segmenting Korean text (place names in Korean) from a Korean road
sign image. A Korean advanced directional road sign is composed of
several types of visual information such as arrows, place names in
Korean and English, and route numbers. Automatic classification of
the visual information and extraction of Korean place names from the
road sign images make it possible to avoid a lot of manual inputs to a
database system for management of road signs nationwide. We
propose a series of problem-specific heuristics that correctly segments
Korean place names, which is the most crucial information, from the
other information by leaving out non-text information effectively. The
experimental results with a dataset of 368 road sign images show 96%
of the detection rate per Korean place name and 84% per road sign
image.
Abstract: This paper introduces a signal monitoring program
developed with a view to helping electrical engineering students get
familiar with sensors with digital output. Because the output of digital
sensors cannot be simply monitored by a measuring instrument such as
an oscilloscope, students tend to have a hard time dealing with digital
sensors. The monitoring program runs on a PC and communicates with
an MCU that reads the output of digital sensors via an asynchronous
communication interface. Receiving the sensor data from the MCU,
the monitoring program shows time and/or frequency domain plots of
the data in real time. In addition, the monitoring program provides a
serial terminal that enables the user to exchange text information with
the MCU while the received data is plotted. The user can easily
observe the output of digital sensors and configure the digital sensors
in real time, which helps students who do not have enough experiences
with digital sensors. Though the monitoring program was programmed
in the Matlab programming language, it runs without the Matlab since
it was compiled as a standalone executable.
Abstract: The use of Computer Aided Design (CAD)
technologies has become pervasive in the Architecture, Engineering
and Construction (AEC) industry. This has led to its inclusion as an
important part of the training module in the curriculum for
Architecture Schools in Nigeria. This paper examines the ethical
questions that arise in the implementation of Computer Aided Design
(CAD) Content of the curriculum for Architectural education. Using
existing literature, it begins this scrutiny from the propriety of
inclusion of CAD into the education of the architect and the
obligations of the different stakeholders in the implementation
process. It also examines the questions raised by the negative use of
computing technologies as well as perceived negative influence of
the use of CAD on design creativity. Survey methodology was
employed to gather data from the Department of Architecture,
Chukwuemeka Odumegwu Ojukwu University Uli, which has been
used as a case study on how the issues raised are being addressed.
The paper draws conclusions on what will make for successful ethical
implementation.
Abstract: Thermoacoustic refrigerator is a cooling device which
uses the acoustic waves to produce the cooling effect. The aim of this
paper is to explore the experimental and numerical feasibility of a
standing-wave thermoacoustic refrigerator. The effects of the stack
length, position of stack and operating frequency on the cooling
performance are carried out. The circular pore stacks are tested under
the atmospheric pressure. A low-cost loudspeaker is used as an
acoustic driver. The results show that the location of stack installed in
resonator tube has a greater effect on the cooling performance, than
the stack length and operating frequency, respectively. The
temperature difference across the ends of stack can be generated up
to 13.7°C, and the temperature of cold-end is dropped down by 5.3°C
from the ambient temperature.
Abstract: A seizure prediction method is proposed by extracting
global features using phase correlation between adjacent epochs for
detecting relative changes and local features using fluctuation/
deviation within an epoch for determining fine changes of different
EEG signals. A classifier and a regularization technique are applied
for the reduction of false alarms and improvement of the overall
prediction accuracy. The experiments show that the proposed method
outperforms the state-of-the-art methods and provides high prediction
accuracy (i.e., 97.70%) with low false alarm using EEG signals in
different brain locations from a benchmark data set.