Abstract: Education and practical training crisis management
members are a topical issue nowadays. The paper deals with the
perspectives and possibilities of "smart solutions" to education for
crisis management staff. Currently, there is a large number of
simulation tools, which notes that they are suitable for practical
training of crisis management staff. The first part of the paper is focused on the introduction of the
technology simulation tools. The simulators aim is to create a
realistic environment for the practical training of extending units of
crisis staff. The second part of the paper concerns the possibilities of using the
simulation technology to the education process. The aim of this
section is to introduce the practical capabilities and potential of the
simulation programs for practical training of crisis management staff.
Abstract: This study aims to examine the sensory quality of
meatballs made from Balinese beef and buffalo meat after the
addition of smoke powder prior to storage at the temperatures of 2-
5°C for 7 days. This study used meat from Longissimus dorsi muscle
of male Balinese cattle aged 3 years and of male buffalo aged 5 years
as the main raw materials, and smoke powder as a binder and
preservative in making meatballs. The study was based on completely
randomized design (CRD) of factorial pattern of 2 x 3 x 2 where
factors 1, 2 and 3 included the types of meat (cattle and buffalo),
types of smoke powder (oven dried, freeze dried and spray dried)
with a level of 2% of the weight of the meat (w/w), and storage
duration (0 and 7 days) with three replications, respectively. The
parameters measured were the meatball sensory quality (scores of
tenderness, firmness, chewing residue, and intensity of flavor). The
results of this study show that each type of meat has produced
different sensory characteristics. The meatballs made from buffalo
meat have higher tenderness and elasticity scores than the Balinese
beef. Meanwhile, the buffalo meatballs have a lower residue
mastication score than the Balinese beef. Each type of smoke
powders has produced a relatively similar sensory quality of
meatballs. It can be concluded that the smoke powder of 2% of the
weight of the meat (w/w) could maintain the sensory quality of the
meatballs for 7 days of storage.
Abstract: The aim of this study is to evaluate the effect of
supplementing broiler starter diet with different levels of an essential
oil blend (EOB) containing capsaicin, carvacrol and cinnamaldehyde
on the performance of broilers. A total of 300 day-old straight-run
Cobb broiler chicks were randomly assigned to three treatments after
7-day group brooding following a completely randomized design
(CRD). Birds assigned in treatment 1 were given starter basal diet
while those in treatments 2 and 3 were given starter basal diet with
400 mg/kg antibiotic growth promoter (AGP) and 150 mg/kg EOB,
respectively, until the 28th day. Basal finisher feed were given for all
the treatments until harvest. Following 37 d feeding, body weight
gain, feed consumption, feed efficiency, dressing percentage,
livability and jejunal villi height were determined. Results showed no
significant differences (P>0.05) in growth performance. However,
villi height and crypt depth was significantly lower for birds fed
EOB.
Abstract: Finding the optimal 3D path of an aerial vehicle under
flight mechanics constraints is a major challenge, especially when
the algorithm has to produce real time results in flight. Kinematics
models and Pythagorian Hodograph curves have been widely used
in mobile robotics to solve this problematic. The level of difficulty
is mainly driven by the number of constraints to be saturated at the
same time while minimizing the total length of the path. In this paper,
we suggest a pragmatic algorithm capable of saturating at the same
time most of dimensioning helicopter 3D trajectories’ constraints
like: curvature, curvature derivative, torsion, torsion derivative, climb
angle, climb angle derivative, positions. The trajectories generation
algorithm is able to generate versatile complex 3D motion primitives
feasible by a helicopter with parameterization of the curvature and the
climb angle. An upper ”motion primitives’ concatenation” algorithm
is presented based. In this article we introduce a new way of designing
three-dimensional trajectories based on what we call the ”Dubins
gliding symmetry conjecture”. This extremely performing algorithm
will be soon integrated to a real-time decisional system dealing with
inflight safety issues.
Abstract: The photovoltaic and the semiconductor industries are
in growth and it is necessary to supply a large amount of silicon to
maintain this growth. Since silicon is still the best material for the
manufacturing of solar cells and semiconductor components so the
pure silicon like solar grade and semiconductor grade materials are
demanded. There are two main routes for silicon production:
metallurgical and chemical. In this article, we reviewed the
electrotecnological installations and systems for semiconductor
manufacturing. The main task is to design the installation which can
produce SOG Silicon from river sand by one work unit.
Abstract: Geological and tectonic framework indicates that
Bangladesh is one of the most seismically active regions in the world.
The Bengal Basin is at the junction of three major interacting plates:
the Indian, Eurasian, and Burma Plates. Besides there are many
active faults within the region, e.g. the large Dauki fault in the north.
The country has experienced a number of destructive earthquakes due
to the movement of these active faults. Current seismic provisions of
Bangladesh are mostly based on earthquake data prior to the 1990.
Given the record of earthquakes post 1990, there is a need to revisit
the design provisions of the code. This paper compares the base shear
demand of three major cities in Bangladesh: Dhaka (the capital city),
Sylhet, and Chittagong for earthquake scenarios of magnitudes
7.0MW, 7.5MW, 8.0MW, and 8.5MW using a stochastic model. In
particular, the stochastic model allows the flexibility to input region
specific parameters such as shear wave velocity profile (that were
developed from Global Crustal Model CRUST2.0) and include the
effects of attenuation as individual components. Effects of soil
amplification were analysed using the Extended Component
Attenuation Model (ECAM). Results show that the estimated base
shear demand is higher in comparison with code provisions leading to
the suggestion of additional seismic design consideration in the study
regions.
Abstract: In this study, the time-dependent behavior of damaged
reinforced concrete shear wall structures strengthened with composite
plates having variable fibers spacing was investigated to analyze their
seismic response. In the analytical formulation, the adherent and the
adhesive layers are all modeled as shear walls, using the mixed Finite
Element Method (FEM). The anisotropic damage model is adopted to
describe the damage extent of the Reinforced Concrete shear walls.
The phenomenon of creep and shrinkage of concrete has been
determined by Eurocode 2. Large earthquakes recorded in Algeria
(El-Asnam and Boumerdes) have been tested to demonstrate the
accuracy of the proposed method. Numerical results are obtained for non-uniform distributions of
carbon fibers in epoxy matrices. The effects of damage extent and the
delay mechanism creep and shrinkage of concrete are highlighted.
Prospects are being studied.
Abstract: Wireless networks are built upon the open shared
medium which makes easy for attackers to conduct malicious
activities. Jamming is one of the most serious security threats to
information economy and it must be dealt efficiently. Jammer
prevents legitimate data to reach the receiver side and also it
seriously degrades the network performance. The objective of this
paper is to provide a general overview of jamming in wireless
network. It covers relevant works, different jamming techniques,
various types of jammers and typical prevention techniques.
Challenges associated with comparing several anti-jamming
techniques are also highlighted.
Abstract: The understanding of geotechnical characteristics of
near-surface material and the effects of the groundwater is very
important problem in such as site studies. For showing the relations
between seismic data and groundwater, we selected about 25 km2 as
the study area. It has been presented which is a detailed work of
seismic data and groundwater depths of Gokpinar Damp area.
Seismic waves velocity (Vp and Vs) are very important parameters
showing the soil properties. The seismic records were used the
method of the multichannel analysis of surface waves near area of
Gokpinar Damp area. Sixty sites in this area have been investigated
with survey lines about 60 m in length. MASW (Multichannel
analysis of surface wave) method has been used to generate onedimensional
shear wave velocity profile at locations. These shear
wave velocities are used to estimate equivalent shear wave velocity in
the study area at every 2 and 5 m intervals up to a depth of 45 m.
Levels of equivalent shear wave velocity of soil are used the
classified of the study area. After the results of the study, it must be
considered as components of urban planning and building design of
Gokpinar Damp area, Denizli and the application and use of these
results should be required and enforced by municipal authorities.
Abstract: Monitoring the conditions of rotating machinery, such
as bearings, is important in order to improve the stability of work.
Acoustic Emission (AE) and vibration analysis are some of the most
accomplished techniques used for this purpose. Acoustic emission
has the ability to detect the initial phase of component degradation.
Moreover, it has been observed that vibration analysis is not as
successful at low rotational speeds (below 100 rpm). This because the
energy generated within this speed region is not detectable using
conventional vibration. From this perspective, this paper has
presented a brief review of using acoustic emission techniques for
monitoring bearing conditions.
Abstract: This study investigates the influence of low
temperature thermo-chemical pretreatment of organic food waste on
performance of COD solubilisation. Both temperature and alkaline
agent were reported to have effect on solubilizing any possible
biomass including organic food waste. The three independent
variables considered in this pretreatment were temperature (50-90oC),
pretreatment time (30-120 minutes) and alkaline concentration,
sodium hydroxide, NaOH (0.7-15 g/L). The maximal condition
obtained were 90oC, 15 g/L NaOH for 2 hours. Solubilisation has
potential in enhancing methane production by providing high amount
of soluble components at early stage during anaerobic digestion.
Abstract: In this paper, we propose the variational EM inference
algorithm for the multi-class Gaussian process classification model
that can be used in the field of human behavior recognition. This
algorithm can drive simultaneously both a posterior distribution of a
latent function and estimators of hyper-parameters in a Gaussian
process classification model with multiclass. Our algorithm is based
on the Laplace approximation (LA) technique and variational EM
framework. This is performed in two steps: called expectation and
maximization steps. First, in the expectation step, using the Bayesian
formula and LA technique, we derive approximately the posterior
distribution of the latent function indicating the possibility that each
observation belongs to a certain class in the Gaussian process
classification model. Second, in the maximization step, using a derived
posterior distribution of latent function, we compute the maximum
likelihood estimator for hyper-parameters of a covariance matrix
necessary to define prior distribution for latent function. These two
steps iteratively repeat until a convergence condition satisfies.
Moreover, we apply the proposed algorithm with human action
classification problem using a public database, namely, the KTH
human action data set. Experimental results reveal that the proposed
algorithm shows good performance on this data set.
Abstract: The report deals with comparison of traffic accidents
in Slovak republic in road and rail transport since 2009 until 2014,
with evaluation of external costs and consequently with the
possibilities of their internalization. The results of road traffic
accidents analysis are realized in line with after-effects they have
caused; in line with main cause, place of origin (within or out of
town) and in accordance to age of accident´s victims and kind of
injuries (easy, hard or fatal). Evaluation of individual after-effects is
carried in terms of probability of traffic accidents occurrence.
Abstract: Selling has changed. Selling has taken on aspects of
relationship marketing and sales force play a critical role in
developing long-term relationships between buyers and sellers which
is seen to serve the company’s targets and create success for a long
run. The purpose of this study was to examine what really matters in
buyer-seller encounters and determine what expectations business
buyers have. We studied 17 business buyers by a qualitative
interview. We found that buyers appreciate encounters where the
salesperson face the buyer as a way he or she is as a person, map the
real needs to improve buyers’ business and build up cooperation for
long-term relationship. This study show that personality matters are a
key elements when satisfying business buyers’ expectations.
Abstract: The research explored the effect of morphemic analysis
awareness on ESL secondary school students’ vocabulary acquisition.
The quasi-experimental study was conducted with 100 ESL
secondary school students in two experimental groups (inflectional
and derivational) and one control group. The students’ vocabulary
acquisition was assessed through two measures: Morph-Analysis Test
and Morph-Vocabulary Test in the pretest and posttest before and
after an intervention programme. Results of ANCOVA revealed that
both the experimental groups achieved a significant score in Morph-
Analysis Test and Vocabulary-Morphemic Test. However, the
inflectional group obtained a fairly higher score than the derivational
group. Thus, the findings of the research are discussed in two main
areas. First, individual instructions of two types of morphemic
awareness have contributed significant results on inflectional and
derivational awareness among the ESL secondary school students.
Nevertheless, derivational morphology achieved a significant but
relatively smaller amount of effect on secondary school students’
morphological awareness compared to inflectional morphology in
this research. Second finding showed that the awareness of
inflectional and derivational morphology was found significantly
related to vocabulary achievement of ESL secondary school students.
Nevertheless, inflectional morphemic awareness had higher
significant effect on ESL secondary school students’ vocabulary
acquisition. Despite these findings, the study implies that morphemic
analysis awareness can serve as an alternative strategy for ESL
secondary school students in acquiring English vocabulary.
Abstract: The Com-Poisson (CMP) model is one of the most
popular discrete generalized linear models (GLMS) that handles
both equi-, over- and under-dispersed data. In longitudinal context,
an integer-valued autoregressive (INAR(1)) process that incorporates
covariate specification has been developed to model longitudinal
CMP counts. However, the joint likelihood CMP function is
difficult to specify and thus restricts the likelihood-based estimating
methodology. The joint generalized quasi-likelihood approach
(GQL-I) was instead considered but is rather computationally
intensive and may not even estimate the regression effects due
to a complex and frequently ill-conditioned covariance structure.
This paper proposes a new GQL approach for estimating the
regression parameters (GQL-III) that is based on a single score vector
representation. The performance of GQL-III is compared with GQL-I
and separate marginal GQLs (GQL-II) through some simulation
experiments and is proved to yield equally efficient estimates as
GQL-I and is far more computationally stable.
Abstract: In the Solid-State-Drive (SSD) performance, whether
the data has been well parallelized is an important factor. SSD
parallelization is affected by allocation scheme and it is directly
connected to SSD performance. There are dynamic allocation and
static allocation in representative allocation schemes. Dynamic
allocation is more adaptive in exploiting write operation parallelism,
while static allocation is better in read operation parallelism.
Therefore, it is hard to select the appropriate allocation scheme when
the workload is mixed read and write operations. We simulated
conditions on a few mixed data patterns and analyzed the results to
help the right choice for better performance. As the results, if data
arrival interval is long enough prior operations to be finished and
continuous read intensive data environment static allocation is more
suitable. Dynamic allocation performs the best on write performance
and random data patterns.
Abstract: The 1:1 cocrystal of 2-amino-4-chloro-6-
methylpyrimidine (2A4C6MP) with 4-methylbenzoic acid (4MBA)
(I) has been prepared by slow evaporation method in methanol,
which was crystallized in monoclinic C2/c space group, Z = 8, and a
= 28.431 (2) Å, b = 7.3098 (5) Å, c = 14.2622 (10) Å and β =
109.618 (3)°. The presence of unionized –COOH functional group in
cocrystal I was identified both by spectral methods (1H and 13C
NMR, FTIR) and X-ray diffraction structural analysis. The
2A4C6MP molecule interact with the carboxylic group of the
respective 4MBA molecule through N—H⋯O and O—H⋯N
hydrogen bonds, forming a cyclic hydrogen–bonded motif R2
2(8).
The crystal structure was stabilized by Npyrimidine—H⋯O=C and
C=O—H⋯Npyrimidine types hydrogen bonding interactions.
Theoretical investigations have been computed by HF and density
function (B3LYP) method with 6–311+G (d,p)basis set. The
vibrational frequencies together with 1H and 13C NMR chemical
shifts have been calculated on the fully optimized geometry of
cocrystal I. Theoretical calculations are in good agreement with the
experimental results. Solvent–free formation of this cocrystal I is
confirmed by powder X-ray diffraction analysis.
Abstract: It is very important for a developing nation to
developing their infrastructure on the prime priority because their
infrastructure particularly their roads and transportation functions as a
blood in the system. Almost 1.1 billion populations share the travel
and transportation industry in India. On the other hand, the Pakistan
transportation industry is also extensive and elevating about 170
million users of transportation. Indian and Pakistani specifically
within bus industry are well connected within and between the urban
and rural areas. The transportation industry is radically helping the
economic alleviation of both countries. Due to high economic
instability, unemployment and poverty rate both countries
governments are very serious and committed to help for boosting
their economy. They believe that any form of transportation
development would play a vital role in the development of land,
infrastructure which could indirectly support many other industries’
developments, such as tourism, freighting and shipping businesses,
just to mention a few. However, it seems that their previous
transportation planning in the due course has failed to meet the fast
growing demand. As with the span of time, both the countries are
looking forward to a long-term, and economical solutions, because
the demand is from time to time keep appreciating and reacting
according to other key economic drivers. Content analysis method
and case study approach is used in this paper and secondary data
from the bureau of statistic is used for case analysis. The paper
focused on the mobility concerns of the lower and middle-income
people in India and Pakistan. The paper is aimed to highlight the
weaknesses, opportunities and limitations resulting from low priority
industry for a government, which is making the either country's
public suffer. The paper has concluded that the main issue is
identified as the slow, inappropriate, and unfavorable decisions which
are not in favor of long-term country’s economic development and
public interest. The paper also recommends to future research
avenues for public and private transportation, which is continuously
failing to meet the public expectations.
Abstract: A theoretical study of a humidification
dehumidification solar desalination unit has been carried out to
increase understanding the effect of weather conditions on the unit
productivity. A humidification-dehumidification (HD) solar
desalination unit has been designed to provide fresh water for
population in remote arid areas. It consists of solar water collector
and air collector; to provide the hot water and air to the desalination
chamber. The desalination chamber is divided into humidification
and dehumidification towers. The circulation of air between the two
towers is maintained by the forced convection. A mathematical
model has been formulated, in which the thermodynamic relations
were used to study the flow, heat and mass transfer inside the
humidifier and dehumidifier. The present technique is performed in
order to increase the unit performance. Heat and mass balance has
been done and a set of governing equations has been solved using the
finite difference technique. The unit productivity has been calculated
along the working day during the summer and winter sessions and
has compared with the available experimental results. The average
accumulative productivity of the system in winter has been ranged
between 2.5 to 4 (kg/m2)/day, while the average summer productivity
has been found between 8 to 12 (kg/m2)/day.