Abstract: The largest share of policy and money within the
European Union goes to agriculture. The Union’s Common
Agricultural Policy has undergone several transformations in the last
five decades, with the main change taking place in the 1990s. This
change influenced agriculture in the Czech Republic, inasmuch as the
fledgling republic was preparing to join the European Union and
adopt its policies. In the 1990s, Czech agriculture passed from
a centrally planned economy to a market economy and subsequently
adopted the terms of the Common Agricultural Policy. The Czech
Republic is also characterized by a significant diversification of
landscape sphere. Agricultural entrepreneurs in the Czech Republic
are still not accustomed to the possibility of grants from the European
Union. They focus rather on national or regional subsidies. Only half
of all agricultural entrepreneurs in the Czech Republic use European
subsidies. This article focuses on the introduction of the Common
Agricultural Policy to the Czech Republic and its subsequent
influence on Czech agriculture. It is demonstrated through the
implementation rate of the CAP in the EU Member States and
a closer focus on Czech integration.
Abstract: Objects are usually horizontally sliced when printed by 3D printers. Therefore, if an object to be printed, such as a collection of fibers, originally has natural direction in shape, the printed direction contradicts with the natural direction. By using proper tools, such as field-oriented 3D paint software, field-oriented solid modelers, field-based tool-path generation software, and non-horizontal FDM 3D printers, the natural direction can be modeled and objects can be printed in a direction that is consistent with the natural direction. This consistence results in embodiment of momentum or force in expressions of the printed object. To achieve this goal, several design and manufacturing problems, but not all, have been solved. An application of this method is (Japanese) 3D calligraphy.
Abstract: The advent of social networking technologies has been
met with mixed reactions in academic and corporate circles around
the world. This study explored the influence of social network in
current era, the relation being maintained between the Social
networking site and its user by the extent of use, benefits and latest
technologies. The study followed a descriptive research design
wherein a questionnaire was used as the main research tool. The data
collected was analyzed using SPSS 16. Data was gathered from 1205
users and analyzed in accordance with the objectives of the study.
The analysis of the results seem to suggest that the majority of users
were mainly using Facebook, despite of concerns raised about the
disclosure of personal information on social network sites, users
continue to disclose huge quantity of personal information, they find
that reading privacy policy is time consuming and changes made can
result into improper settings.
Abstract: Recently, there is a lot of interest in the field of under
water optical wireless communication for short range because of
its high bandwidth. But in most of the previous works line of
sight propagation or single scattering of photons only considered.
In practical case this is not applicable because of beam blockage in
underwater and multiple scattering also occurred during the photons
propagation through water. In this paper we consider a non-line
of sight underwater wireless optical communication system with
multiple scattering and examine the performance of the system using
monte carlo simulation. The distribution scattering angle of photons
are modeled by Henyey-Greenstein method. The average bit error
rate is calculated using on-off keying modulation for different water
types.
Abstract: Egg yolk oil is a natural source of bioactive
compounds such as unsaturated fatty acids, oil soluble vitamins,
pigments and others. Bioactive compound content in egg yolk oil
depends from its content in eggs, from which oil was extracted. Many
studies show that bioactive compound content in egg is correlated to
the content of these compounds in hen feed, but there is also an
opinion that hen housing systems also have influence on egg
chemical content. The aim of this study was to determine which
factor, laying hen housing system or hen diet, has a primary influence
on bioactive compound content in egg yolk oil. The egg yolk oil was
extracted from eggs obtained from 4 different hen housing systems:
cage, barn and two groups of free range. All hens were fed with
commercially produced compound feed except one group of free
range hens which get free diet – pastured hens. Extracted egg yolk
oils were analyzed for fatty acids, oil soluble vitamins and β-carotene
content. α-tocopherol, ergocalcipherol and polyunsaturated fatty acid
content in egg yolk oil was higher from eggs obtained from all
housing systems where hens were fed with commercial compound
feed. β-carotene and retinol content in egg yolk oils from free range
free diet eggs was significantly (p>0.05) higher that from other eggs
because hens have access to green forage. Hen physical activity in
free range housing systems decreases content of some bioactive
compound in egg yolk oil.
Abstract: Image compression based on fractal coding is a lossy
compression method and normally used for gray level images range
and domain blocks in rectangular shape. Fractal based digital image
compression technique provide a large compression ratio and in this
paper, it is proposed using YUV colour space and the fractal theory
which is based on iterated transformation. Fractal geometry is mainly
applied in the current study towards colour image compression
coding. These colour images possesses correlations among the colour
components and hence high compression ratio can be achieved by
exploiting all these redundancies. The proposed method utilises the
self-similarity in the colour image as well as the cross-correlations
between them. Experimental results show that the greater
compression ratio can be achieved with large domain blocks but more
trade off in image quality is good to acceptable at less than 1 bit per
pixel.
Abstract: Behavioral aspects of experience such as will power
are rarely subjected to quantitative study owing to the numerous
complexities involved. Will is a phenomenon that has puzzled
humanity for a long time. It is a belief that will power of an individual
affects the success achieved by them in life. It is also thought that a
person endowed with great will power can overcome even the most
crippling setbacks in life while a person with a weak will cannot make
the most of life even the greatest assets. This study is an attempt
to subject the phenomena of will to the test of an artificial neural
network through a computational model. The claim being tested is
that will power of an individual largely determines success achieved
in life. It is proposed that data pertaining to success of individuals
be obtained from an experiment and the phenomenon of will be
incorporated into the model, through data generated recursively using
a relation between will and success characteristic to the model.
An artificial neural network trained using part of the data, could
subsequently be used to make predictions regarding data points in
the rest of the model. The procedure would be tried for different
models and the model where the networks predictions are found to
be in greatest agreement with the data would be selected; and used
for studying the relation between success and will.
Abstract: The research of juice flavor forecasting has become
more important in China. Due to the fast economic growth in China,
many different kinds of juices have been introduced to the market. If a
beverage company can understand their customers’ preference well,
the juice can be served more attractive. Thus, this study intends to
introducing the basic theory and computing process of grapes juice
flavor forecasting based on support vector regression (SVR). Applying
SVR, BPN, and LR to forecast the flavor of grapes juice in real data
shows that SVR is more suitable and effective at predicting
performance.
Abstract: The past two decades, Thailand faced the natural
disasters, for instance, Gay typhoon in 1989, tsunami in 2004, and
huge flood in 2011. The disaster management in Thailand was
improved both structure and mechanism for cope with the natural
disaster since 2007. However, the natural disaster management in
Thailand has various problems, for examples, cooperation between
related an organizations have not unity, inadequate resources, the
natural disaster management of public sectors not proactive, people
has not awareness the risk of the natural disaster, and communities
did not participate in the natural disaster management.
Objective of this study is to find the methods for capacity building
in the natural disaster management of Thailand. The concept and
information about the capacity building and the natural disaster
management of Thailand were reviewed and analyzed by classifying
and organizing data. The result found that the methods for capacity
building in the natural disaster management of Thailand should be
consist of 1) link operation and information in the natural disaster
management between nation, province, local and community levels,
2) enhance competency and resources of public sectors which relate
to the natural disaster management, 3) establish proactive natural
disaster management both planning and implementation, 4)
decentralize the natural disaster management to local government
organizations, 5) construct public awareness in the natural disaster
management to community, 6) support Community Based Disaster
Risk Management (CBDRM) seriously, and 7) emphasis on
participation in the natural disaster management of all stakeholders.
Abstract: Breast cancer is considered as a substantial health
concern and practicing mammography screening [MS] is important in
minimizing its related morbidity. So it is essential to have a better
understanding of breast cancer screening behaviors of women and
factors that influence utilization of them. The aim of this study is to
identify the factors that are linked to MS behaviors among the
Egyptian women. A cross-sectional descriptive design was carried
out to provide a snapshot of the factors that are linked to MS
behaviors. A convenience sample of 311 women was utilized and all
eligible participants admitted to the Women Imaging Unit who are 40
years of age or above, coming for mammography assessment, not
pregnant or breast feeding and who accepted to participate in the
study were included. A structured questionnaire was developed by
the researchers and contains three parts; Socio-demographic data;
Motivating factors associated with MS; and association between MS
and model of behavior change. The analyzed data indicated that most
of the participated women (66.6%) belonged to the age group of 40-
49.A high proportion of participants (58.1%) of group having
previous MS influenced by their neighbors to practice MS, whereas
32.7 % in group not having previous MS were influenced by family
members which indicated significant differences (P
Abstract: Ulexite (Na2O.2CaO.5B2O3.16H2O) is boron mineral
that is found in large quantities in the Turkey and world. In this
study, the dissolution of this mineral in the disodium hydrogen
phosphate solutions has been studied. Temperature, concentration,
stirring speed, solid liquid ratio and particle size were selected as
parameters. The experimental results were successfully correlated by
linear regression using Statistica program. Dissolution curves were
evaluated shrinking core models for solid-fluid systems. It was
observed that increase in the reaction temperature and decrease in the
solid/liquid ratio causes an increase the dissolution rate of ulexite.
The activation energy was found to be 63.4 kJ/mol. The leaching of
ulexite was controlled by chemical reaction.
Abstract: In the present work, Electrochemical Impedance
Spectrocopy (EIS) is applied to study the transport of different metal
cations through a cation-exchange membrane. This technique enables
the identification of the ionic-transport characteristics and to
distinguish between different transport mechanisms occurring at
different current density ranges. The impedance spectra are
dependent on the applied dc current density, on the type of cation and
on the concentration.
When the applied dc current density increases, the diameter of the
impedance spectra loops increases because all the components of
membrane system resistance increase. The diameter of the impedance
plots decreases in the order of Na(I), Ni(II) and Cr(III) due to the
increased interactions between the negatively charged sulfonic
groups of the membrane and the cations with greater charge. Nyquist
plots are shifted towards lower values of the real impedance, and its
diameter decreases with the increase of concentration due to the
decrease of the solution resistance.
Abstract: High pressure turbine (HPT) blades of DV – 2 jet
engines are made from Ni – based superalloy. This alloy was
originally manufactured in the Soviet Union and referred as ŽS6K.
For improving alloy’s high temperature resistance are blades coated
with Al – Si diffusion layer. A regular operation temperature of HPT
blades vary from 705°C to 750°C depending on jet engine regime.
An overcrossing working temperature range causes degradation of
the protective coating as well as base material which microstructure
is formed by the gamma matrix and strengthening phase gamma
prime (forming small particles in the microstructure). Diffusion
processes inside the material during exposition of the material to high
temperatures causes mainly coarsening of the gamma prime particles,
thus decreasing its strengthening effect. Degradation of the Al – Si
coating caused its thickness growth. All the microstructure changes
and coating layer thickness growth results in decreasing of the turbine
blade operation lifetime.
Abstract: A central element of higher education today is the
“core” or “general education” curriculum: that configuration of
courses that often encompasses the essence of liberal arts education.
Ensuring that such offerings reflect the mission and values of the
institution is a challenge faced by most college and universities, often
more than once. This paper presents an action model of program
planning designed to structure the processes of developing,
implementing and revising core curricula in a manner consistent with
key institutional goals and objectives. Through presentation of a case
study from a university in the United States, the elements of needs
assessment, stakeholder investment and collaborative compromise
are shown as key components of a planning strategy that can produce
a general education program that is comprehensive, academically
rigorous, assessable, and mission consistent. The paper concludes
with recommendations for both the implementation and evaluation of
such programs in practice.
Abstract: This paper is part of a study to develop robots for
farming. As such power requirement to operate equipment attach to
such robots become an important factor. Soil-tool interaction plays
major role in power consumption, thus predicting accurately the
forces which act on the blade during the farming is very important for
optimal designing of farm equipment. In this paper, a finite element
investigation for tillage tools and soil interaction is described by
using an inelastic constitutive material law for agriculture
application. A 3-dimensional (3D) nonlinear finite element analysis
(FEA) is developed to examine behavior of a blade with different
rake angles moving in a block of soil, and to estimate the blade force.
The soil model considered is an elastic-plastic with non-associated
Drucker-Prager material model. Special use of contact elements are
employed to consider connection between soil-blade and soil-soil
surfaces. The FEA results are compared with experimental ones,
which show good agreement in accurately predicting draft forces
developed on the blade when it moves through the soil. Also a very
good correlation was obtained between FEA results and analytical
results from classical soil mechanics theories for straight blades.
These comparisons verified the FEA model developed. For analyzing
complicated soil-tool interactions and for optimum design of blades,
this method will be useful.
Abstract: Indonesian higher education has experienced
significant changes over the last decade. In 1999, the government
published an overall strategy for decentralisation and enhancement of
local autonomy in many sectors, including (higher) education.
Indonesian higher education reforms have forced universities to
restructure their internal university governance to become more
entrepreneurial. These new types of internal university governance
are likely to affect the institutions’ leadership and management. This
paper discusses the approach and findings of a study on the
managerial leadership styles of deans in Indonesian universities. The
study aims to get a better understanding of styles exhibited by deans
manifested in their behaviours. Using the theories of reasoned action
and planned behaviour, in combination with the competing values
framework, a large-scale survey was conducted to gather information
on the deans’ behaviours, attitudes, subjective norms, and perceived
behavioural control. Based on the responses of a sample of 218
deans, the study identifies a number of leadership styles: the Master,
the Competitive Consultant, the Consensual Goal-Setter, the Focused
Team Captain, and the Informed Trust-Builder style. The study
demonstrates that attitudes are the primary determinant of the styles
that were found. Perceived behavioural control is a factor that
explains some managerial leadership styles. By understanding the
attitudes of deans in Indonesian universities, and their leadership
styles, universities can strengthen their management and governance,
and thus improve their effectiveness.
Abstract: In the past few years, the amount of malicious software
increased exponentially and, therefore, machine learning algorithms
became instrumental in identifying clean and malware files through
(semi)-automated classification. When working with very large
datasets, the major challenge is to reach both a very high malware
detection rate and a very low false positive rate. Another challenge
is to minimize the time needed for the machine learning algorithm to
do so. This paper presents a comparative study between different
machine learning techniques such as linear classifiers, ensembles,
decision trees or various hybrids thereof. The training dataset consists
of approximately 2 million clean files and 200.000 infected files,
which is a realistic quantitative mixture. The paper investigates the
above mentioned methods with respect to both their performance
(detection rate and false positive rate) and their practicability.
Abstract: Every year, a considerable amount of money is being
invested on research, mainly in the form of funding allocated to
universities and research institutes. To better distribute the available
funds and to set the most proper R&D investment strategies for the
future, evaluation of the productivity of the funded researchers and
the impact of such funding is crucial. In this paper, using the data on
15 years of journal publications of the NSERC (Natural Sciences and
Engineering research Council of Canada) funded researchers and by
means of bibliometric analysis, the scientific development of the
funded researchers and their scientific collaboration patterns will be
investigated in the period of 1996-2010. According to the results it
seems that there is a positive relation between the average level of
funding and quantity and quality of the scientific output. In addition,
whenever funding allocated to the researchers has increased, the
number of co-authors per paper has also augmented. Hence, the
increase in the level of funding may enable researchers to get
involved in larger projects and/or scientific teams and increase their
scientific output respectively.
Abstract: One of the crucial parameters of digital cryptographic
systems is the selection of the keys used and their distribution. The
randomness of the keys has a strong impact on the system’s security
strength being difficult to be predicted, guessed, reproduced, or
discovered by a cryptanalyst. Therefore, adequate key randomness
generation is still sought for the benefit of stronger cryptosystems.
This paper suggests an algorithm designed to generate and test
pseudo random number sequences intended for cryptographic
applications. This algorithm is based on mathematically manipulating
a publically agreed upon information between sender and receiver
over a public channel. This information is used as a seed for
performing some mathematical functions in order to generate a
sequence of pseudorandom numbers that will be used for
encryption/decryption purposes. This manipulation involves
permutations and substitutions that fulfill Shannon’s principle of
“confusion and diffusion”. ASCII code characters were utilized in the
generation process instead of using bit strings initially, which adds
more flexibility in testing different seed values. Finally, the obtained
results would indicate sound difficulty of guessing keys by attackers.
Abstract: This paper proposes the application of the Smart
Security Concept in the East Mediterranean. Smart Security aims to
secure critical infrastructure, such as hydrocarbon platforms, against
asymmetrical threats. The concept is based on Anti Asymmetrical
Area Denial (A3D) which necessitates limiting freedom of action of
maritime terrorists and piracy by founding safe and secure maritime
areas through sea lines of communication using short range
capabilities.