Abstract: Termination Mechanism is an indispensible part of the
emergency management mechanism. Despite of its importance in both
theory and practice, it is almost a brand new field for researching. The
concept of termination mechanism is proposed firstly in this paper,
and the design and implementation which are helpful to guarantee the
effect and integrity of emergency management are discussed secondly.
Starting with introduction of the problems caused by absent
termination and incorrect termination, the essence of termination
mechanism is analyzed, a model based on Optimal Stopping Theory is
constructed and the termination index is given. The model could be
applied to find the best termination time point.. Termination decision
should not only be concerned in termination stage, but also in the
whole emergency management process, which makes it a dynamic
decision making process. Besides, the main subjects and the procedure
of termination are illustrated after the termination time point is given.
Some future works are discussed lastly.
Abstract: In this article the accumulated results out of the effects
and length of the manufacture and production projects in the
university and research standard have been settled with the usefulness
definition of the process of project management for the accessibility
to the proportional pattern in the “time and action" stages. Studies
show that many problems confronted by the researchers in these
projects are connected to the non-profiting of: 1) autonomous timing
for gathering the educational theme, 2) autonomous timing for
planning and pattern, presenting before the construction, and 3)
autonomous timing for manufacture and sample presentation from the
output. The result of this study indicates the division of every
manufacture and production projects into three smaller autonomous
projects from its kind, budget and autonomous expenditure, shape
and order of the stages for the management of these kinds of projects.
In this case study real result are compared with theoretical results.
Abstract: The trial in the city, located 170 kilometers from the
Iranian city of Ahvaz was Omidiyeh. The main factor in this project
includes 4 levels in control (without hormones), use of hormones in
the seed, vegetative and flowering stage respectively. And sub-plots
included 3 varieties of vetch in three levels, with local names, was the
jewel in the study of light and Auxin in the vegetative and
reproductive different times in different varieties of vetch was
investigated. This test has been taken in the plots in a randomized
complete block with four replications. In order to study the effects of
the hormone Auxin in the growth stages (seed, vegetative and
flowering) to control (no hormone Auxin) on three local varieties of
vetch, the essence of light and plant height, number of pods per plant,
seed number The pods, seeds per plant, grain weight, grain yield,
plant dry weight and protein content were measured. Among the
vetch varieties for plant height, number of pods per plant, a seed per
plant, grain weight, grain yield, and plant dry weight and protein
levels of 1 percent of plant and seed number per pod per plant at 5%
level of There was no significant difference. Interactions for grain
yield per plant, grain yield and protein levels of 1 percent and the
number of seeds per pod and seed weight are significant differences
in levels 5 and plant height and plant dry weight of the interaction
were INFLUENCE There was no significant difference in them.
Abstract: This paper aims to develop an algorithm of finite
capacity material requirement planning (FCMRP) system for a multistage
assembly flow shop. The developed FCMRP system has two
main stages. The first stage is to allocate operations to the first and
second priority work centers and also determine the sequence of the
operations on each work center. The second stage is to determine the
optimal start time of each operation by using a linear programming
model. Real data from a factory is used to analyze and evaluate the
effectiveness of the proposed FCMRP system and also to guarantee a
practical solution to the user. There are five performance measures,
namely, the total tardiness, the number of tardy orders, the total
earliness, the number of early orders, and the average flow-time. The
proposed FCMRP system offers an adjustable solution which is a
compromised solution among the conflicting performance measures.
The user can adjust the weight of each performance measure to
obtain the desired performance. The result shows that the combination
of FCMRP NP3 and EDD outperforms other combinations
in term of overall performance index. The calculation time for the
proposed FCMRP system is about 10 minutes which is practical for
the planners of the factory.
Abstract: It is quite essential to form dialogue mechanisms and
dialogue channels to solve intercultural communication issues.
Therefore, every country should develop a intercultural education
project which aims to resolve international communication issues.
For proper mediation training, the first step is to reach an agreement
on the actors to run the project. The strongest mediation mechanisms
in the world should be analyzed and initiated within the educational
policies. A communication-based mediation model should be
developed for international mediation training. Mediators can use
their convincing communication skills as a part of this model. At the
first, fundamental stages of the mediation training should be specified
within the scope of the model. Another important topic at this point is
common sence and peace leaders to act as an ombudsman in this
process. Especially for solving some social issues and conflicts,
common sense leaders acting as an ombudsman would lead to
effective communication. In mediation training that is run by
universities and non-governmental organizations, another phase is to
focus on conducting the meetings. In intercultural mediation training,
one of the most critical topics is to conduct the meeting traffic and
performing a shuttle diplomacy. Meeting traffic is where the mediator
organizes meetings with the parties with initiative powers, in order to
contribute to the solution of the issue, and schedule these meetings.
In this notice titled “ Intercultural mediation training and the training
process of common sense leaders by the leadership of universities
communication and artistic campaigns" , communication models and
strategies about this topic will be constructed and an intercultural art
activities and perspectives will be presented.
Abstract: In recent years, there has been an increasing interest
toward the use of bovine genotyped embryos for commercial embryo
transfer programs. Biopsy of a few cells in morulla stage is essential
for preimplantation genetic diagnosis (PGD). Low amount of DNA
have limited performing the several molecular analyses within PGD
analyses. Whole genome amplification (WGA) promises to eliminate
this problem. We evaluated the possibility and performance of an
improved primer extension preamplification (I-PEP) method with a
range of starting bovine genomic DNA from 1-8 cells into the WGA
reaction. We optimized a short and simple I-PEP (ssI-PEP) procedure
(~3h). This optimized WGA method was assessed by 6 loci specific
polymerase chain reactions (PCRs), included restriction fragments
length polymorphism (RFLP). Optimized WGA procedure possesses
enough sensitivity for molecular genetic analyses through the few
input cells. This is a new era for generating characterized bovine
embryos in preimplantation stage.
Abstract: This paper presents a new feature based dense stereo
matching algorithm to obtain the dense disparity map via dynamic
programming. After extraction of some proper features, we use some
matching constraints such as epipolar line, disparity limit, ordering
and limit of directional derivative of disparity as well. Also, a coarseto-
fine multiresolution strategy is used to decrease the search space
and therefore increase the accuracy and processing speed. The
proposed method links the detected feature points into the chains and
compares some of the feature points from different chains, to
increase the matching speed. We also employ color stereo matching
to increase the accuracy of the algorithm. Then after feature
matching, we use the dynamic programming to obtain the dense
disparity map. It differs from the classical DP methods in the stereo
vision, since it employs sparse disparity map obtained from the
feature based matching stage. The DP is also performed further on a
scan line, between any matched two feature points on that scan line.
Thus our algorithm is truly an optimization method. Our algorithm
offers a good trade off in terms of accuracy and computational
efficiency. Regarding the results of our experiments, the proposed
algorithm increases the accuracy from 20 to 70%, and reduces the
running time of the algorithm almost 70%.
Abstract: In the other to Study of drought stress and Selenium
spraying effect on superoxide dismotase (SOD) activity of rapeseed
(Brassica napus L.) cultivars in Shahr-e-Rey region, an experiment
carried out in Split factorial design in the basis of randomized
complete blocks with 4 replications in 2006. Irrigation in two levels:
Normal irrigation and irrigation with drought stress when the soil
electrical conductivity reached to 60 as main factor and rapeseed
cultivars in 3 levels Zarfam, Okapi, Opera and selenium spraying at
the beginning of flowering stage in 3 levels: 0, 16 and 21 g/ha as sub
factor.
The results showed that the simple and interaction effect of
irrigation, selenium and cultivars on SOD activity had significant
difference. In this case Zarfam cultivar with 2010 u.mg-1 protein and
Opera with 1454 u.mg-1 protein produced maximum and minimum
amounts of SOD activitiy. Interaction effect of irrigation and variety
showed that, normal irrigation in Opera with 1115 u.mg-1 protein
and drought stress in Zarfam with 2784 u.mg-1 protein conducted to
and minimum and maximum amounts of SOD activity.
Interaction effect of irrigation, cultivar and selenium on SOD
indicated that drought stress condition and 21 gr/ha selenium
spraying in Zarfam variety with 3146 u.mg-1 protein gained to
highest activities of SOD.
Abstract: L-system is a tool commonly used for modeling and simulating the growth of fractal plants. The aim of this paper is to join some problems of the computational geometry with the fractal geometry by using the L-system technique to generate fractal plant in 3D. L-system constructs the fractal structure by applying rewriting rules sequentially and this technique depends on recursion process with large number of iterations to get different shapes of 3D fractal plants. Instead, it was reiterated a specific number of iterations up to three iterations. The vertices generated from the last stage of the Lsystem rewriting process are used as input to the triangulation algorithm to construct the triangulation shape of these vertices. The resulting shapes can be used as covers for the architectural objects and in different computer graphics fields. The paper presents a gallery of triangulation forms which application in architecture creates an alternative for domes and other traditional types of roofs.
Abstract: Groundlessness of application probability-statistic methods are especially shown at an early stage of the aviation GTE technical condition diagnosing, when the volume of the information has property of the fuzzy, limitations, uncertainty and efficiency of application of new technology Soft computing at these diagnosing stages by using the fuzzy logic and neural networks methods. It is made training with high accuracy of multiple linear and nonlinear models (the regression equations) received on the statistical fuzzy data basis. At the information sufficiency it is offered to use recurrent algorithm of aviation GTE technical condition identification on measurements of input and output parameters of the multiple linear and nonlinear generalized models at presence of noise measured (the new recursive least squares method (LSM)). As application of the given technique the estimation of the new operating aviation engine D30KU-154 technical condition at height H=10600 m was made.
Abstract: One of the main research directions in CAD/CAM
machining area is the reducing of machining time.
The feedrate scheduling is one of the advanced techniques that
allows keeping constant the uncut chip area and as sequel to keep
constant the main cutting force. They are two main ways for feedrate
optimization. The first consists in the cutting force monitoring, which
presumes to use complex equipment for the force measurement and
after this, to set the feedrate regarding the cutting force variation. The
second way is to optimize the feedrate by keeping constant the
material removal rate regarding the cutting conditions.
In this paper there is proposed a new approach using an extended
database that replaces the system model.
The feedrate scheduling is determined based on the identification
of the reconfigurable machine tool, and the feed value determination
regarding the uncut chip section area, the contact length between tool
and blank and also regarding the geometrical roughness.
The first stage consists in the blank and tool monitoring for the
determination of actual profiles. The next stage is the determination
of programmed tool path that allows obtaining the piece target
profile.
The graphic representation environment models the tool and blank
regions and, after this, the tool model is positioned regarding the
blank model according to the programmed tool path. For each of
these positions the geometrical roughness value, the uncut chip area
and the contact length between tool and blank are calculated. Each of
these parameters are compared with the admissible values and
according to the result the feed value is established.
We can consider that this approach has the following advantages:
in case of complex cutting processes the prediction of cutting force is
possible; there is considered the real cutting profile which has
deviations from the theoretical profile; the blank-tool contact length
limitation is possible; it is possible to correct the programmed tool
path so that the target profile can be obtained.
Applying this method, there are obtained data sets which allow the
feedrate scheduling so that the uncut chip area is constant and, as a
result, the cutting force is constant, which allows to use more
efficiently the machine tool and to obtain the reduction of machining
time.
Abstract: Subgrade moisture content varies with environmental and soil conditions and has significant influence on pavement performance. Therefore, it is important to establish realistic estimates of expected subgrade moisture contents to account for the effects of this variable on predicted pavement performance during the design stage properly. The initial boundary soil suction profile for a given pavement is a critical factor in determining expected moisture variations in the subgrade for given pavement and climatic and soil conditions. Several numerical models have been developed for predicting water and solute transport in saturated and unsaturated subgrade soils. Soil hydraulic properties are required for quantitatively describing water and chemical transport processes in soils by the numerical models. The required hydraulic properties are hydraulic conductivity, water diffusivity, and specific water capacity. The objective of this paper was to determine isothermal moisture profiles in a soil fill and predict the soil moisture movement above the ground water table using a simple one-dimensional finite difference model.
Abstract: This work presents a neural network model for the
clustering analysis of data based on Self Organizing Maps (SOM).
The model evolves during the training stage towards a hierarchical
structure according to the input requirements. The hierarchical structure
symbolizes a specialization tool that provides refinements of the
classification process. The structure behaves like a single map with
different resolutions depending on the region to analyze. The benefits
and performance of the algorithm are discussed in application to the
Iris dataset, a classical example for pattern recognition.
Abstract: The purpose of study is to demonstrate how the characteristics of technology and the process required for development of technology affect technology transfer from public organisations to industry on the technology level. In addition, using the advantage of the analytic level and the novel means of measuring technology convergence, we examine the characteristics of converging technologies as compared to non-converging technologies in technology transfer process. In sum, our study finds that a technology from the public sector is likely to be transferred when its readiness level is closer to generation of profit, when its stage of life cycle is early and when its economic values is high. Our findings also show that converging technologies are less likely to be transferred.
Abstract: This study adopts a qualitative approach, which
engages in the dialectical discussion on two levels of dyad opposite
views. The first level of the dyad opposite views is the Western
strategic perspective and the Eastern Tai-Chi thinking. The second
level of the dyad opposite views is resource-based view and resource
dependence theory. This study concludes the resource-oriented actions
for competitive advantage as the metaphor of Tai-Chi consisted of yin
and yang. This study argues that the focal firm should adopt bridging
strategy during the core competence development period because its
core competence development is likely to meet its competitor’s needs
of exploring strategy during the competitor’s external resource
development stage. In addition, the focal firm should adopt buffering
strategy during the external resource development period to prevent its
competitor’s the exploiting strategy from attack during the
competitor’s core competence development stage. Consequently, this
study takes a significant first step toward a novel contextualize
understanding of resource development based on strategic perspective
and Tai-Chi thinking providing more fully sustainable strategy for
competitive advantage.
Abstract: This study assessed the effects of climate change on
Thai soybeans under simulation situations. Our study is focused on
temperature variability and effects on growth, yield, and genetic
changes in 2 generations of Chiang Mai 60 cultivars. In the
experiment, soybeans were exposed to 3 levels of air temperature for
8 h day-1 in an open top chamber for 2 cropping periods. Air
temperature levels in each treatment were controlled at 30-33°C (±
2.3) for LT-treatment, 33-36°C ( ± 2.4) for AT-treatment, and 36-40
°C ( ± 3.2) for HT-treatment, respectively. Positive effects of high
temperature became obvious at the maturing stage when yield
significantly increased in both cropping periods. Results in growth
indicated that shoot length at the pre-maturing stage
(V3-R3) was more positively affected by high temperature than at the
maturing stage. However, the positive effect on growth under high
temperature was not found in the 2nd cropping period. Finally, genetic
changes were examined in phenotype characteristics by the AFLPs
technique. The results showed that the high temperature factor clearly
caused genetic change in the soybeans and showed more alteration in
the 2nd cropping period.
Abstract: Outsourcing, a management practice strongly
consolidated within the area of Information Systems, is currently
going through a stage of unstoppable growth. This paper makes a
proposal about the main reasons which may lead firms to adopt
Information Systems Outsourcing. It will equally analyse the
potential risks that IS clients are likely to face. An additional
objective is to assess these reasons and risks in the case of large
Spanish firms, while simultaneously examining their evolution over
time.
Abstract: The research investigates the “impact of VLE on mathematical concepts acquisition of the special education needs (SENs) students at KS4 secondary education sector" in England. The overall aim of the study is to establish possible areas of difficulties to approach for above or below knowledge standard requirements for KS4 students in the acquisition and validation of basic mathematical concepts. A teaching period, in which virtual learning environment (Fronter) was used to emphasise different mathematical perception and symbolic representation was carried out and task based survey conducted to 20 special education needs students [14 actually took part]. The result shows that students were able to process information and consider images, objects and numbers within the VLE at early stages of acquisition process. They were also able to carry out perceptual tasks but with limiting process of different quotient, thus they need teacher-s guidance to connect them to symbolic representations and sometimes coach them through. The pilot study further indicates that VLE curriculum approaches for students were minutely aligned with mathematics teaching which does not emphasise the integration of VLE into the existing curriculum and current teaching practice. There was also poor alignment of vision regarding the use of VLE in realisation of the objectives of teaching mathematics by the management. On the part of teacher training, not much was done to develop teacher-s skills in the technical and pedagogical aspects of VLE that is in-use at the school. The classroom observation confirmed teaching practice will find a reliance on VLE as an enhancer of mathematical skills, providing interaction and personalisation of learning to SEN students.
Abstract: This research aims at development of the Multiple
Intelligences Measurement of Elementary Students. The structural
accuracy test and normality establishment are based on the Multiple
Intelligences Theory of Gardner. This theory consists of eight aspects
namely linguistics, logic and mathematics, visual-spatial relations,
body and movement, music, human relations, self-realization/selfunderstanding
and nature. The sample used in this research consists
of elementary school students (aged between 5-11 years). The size of
the sample group was determined by Yamane Table. The group has
2,504 students. Multistage Sampling was used. Basic statistical
analysis and construct validity testing were done using confirmatory
factor analysis. The research can be summarized as follows; 1.
Multiple Intelligences Measurement consisting of 120 items is
content-accurate. Internal consistent reliability according to the
method of Kuder-Richardson of the whole Multiple Intelligences
Measurement equals .91. The difficulty of the measurement test is
between .39-.83. Discrimination is between .21-.85. 2). The Multiple
Intelligences Measurement has construct validity in a good range,
that is 8 components and all 120 test items have statistical
significance level at .01. Chi-square value equals 4357.7; p=.00 at the
degree of freedom of 244 and Goodness of Fit Index equals 1.00.
Adjusted Goodness of Fit Index equals .92. Comparative Fit Index
(CFI) equals .68. Root Mean Squared Residual (RMR) equals 0.064
and Root Mean Square Error of Approximation equals 0.82. 3). The
normality of the Multiple Intelligences Measurement is categorized
into 3 levels. Those with high intelligence are those with percentiles
of more than 78. Those with moderate/medium intelligence are those
with percentiles between 24 and 77.9. Those with low intelligence
are those with percentiles from 23.9 downwards.
Abstract: The Information and Communication Technologies
(ICTs), and the Wide World Web (WWW) have fundamentally
altered the practice of teaching and learning world wide. Many
universities, organizations, colleges and schools are trying to apply
the benefits of the emerging ICT. In the early nineties the term
learning object was introduced into the instructional technology
vernacular; the idea being that educational resources could be broken
into modular components for later combination by instructors,
learners, and eventually computes into larger structures that would
support learning [1]. However in many developing countries, the use
of ICT is still in its infancy stage and the concept of learning object
is quite new. This paper outlines the learning object design
considerations for developing countries depending on learning
environment.