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: The present research aimed at studying the awareness
and attitudes of teachers towards inclusive education. The sample
consisted of 60 teachers, teaching in the primary section (1st – 4th) of
regular schools affiliated to the SSC board in Mumbai. Sample was
selected by Multi-stage cluster sampling technique. A semi-structured
self-constructed interview schedule and a self-constructed attitude
scale was used to study the awareness of teachers about disability and
Inclusive education, and their attitudes towards inclusive education
respectively. Themes were extracted from the interview data and
quantitative data was analyzed using SPSS package. Results revealed
that teachers had some amount of awareness but an inadequate
amount of information on disabilities and inclusive education.
Disability to most (37) teachers meant “an inability to do something”.
The difference between disability and handicap was stated by most as
former being cognitive while handicap being physical in nature. With
regard to Inclusive education, a large number (46) stated that they
were unaware of the term and did not know what it meant. Majority
(52) of them perceived maximum challenges for themselves in an
inclusive set up, and emphasized on the role of teacher training
courses in the area of providing knowledge (49) and training in
teaching methodology (53). Although, 83.3% of teachers held a
moderately positive attitude towards inclusive education, a large
percentage (61.6%) of participants felt that being in inclusive set up
would be very challenging for both children with special needs and
without special needs. Though, most (49) of the teachers stated that
children with special needs should be educated in regular classroom
but they further clarified that only those should be in a regular
classroom who have physical impairments of mild or moderate
degree.
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: This paper describes the design and implementation of
a hardware setup for online monitoring of 24 refrigerators inside
blood bank center using the microcontroller and CAN bus for
communications between each node. Due to the security of locations
in the blood bank hall and difficulty of monitoring of each
refrigerator separately, this work proposes a solution to monitor all
the blood bank refrigerators in one location. CAN-bus system is used
because it has many applications and advantages, especially for this
system due to easy in use, low cost, providing a reduction in wiring,
fast to repair and easily expanding the project without a problem.
Abstract: Despite all the wide research and literature on the
subject, changing and challenging times often present themselves
with new objectives, fluid politics, and everlasting point of views.
Much is said about the subject and the trend nowadays is watching
every European Union (EU) intervention as a form of neo
colonialism or a form of establishing new markets. The paper will try to establish a perspective on EU influences,
policies and impacts analyzed from multidimensional point of view,
not limiting itself on a narrow external dimension, focusing on a
broader understanding of it diverse contribution to global governance
and peace keeping. Tending to be critical, this paper tends to fall out of extremes,
nether holding a Eurocentric position, nor falling for cheap critic to
the whole failures and impact of EU policies. The ambition is to
show EU as a contributing factor while keeping in mind its nature as
a multi layered actor and with not necessarily coinciding interests
among its member states.
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: The application of ESS (Energy Storage Systems) in
the future grids has been the solution of the microgrid. However, high
investment costs necessitate accurate modeling and control strategy of
ESS to justify its economic viability and further underutilization.
Therefore, the reasonable control strategy for ESS which is subjected
to generator and usage helps to curtail the cost of investment and
operation costs. The rated frequency in power system is decreased
when the load is increasing unexpectedly; hence the thermal power is
operated at the capacity of only its 95% for the Governor Free (GF) to
adjust the frequency as reserve (5%) in practice. The ESS can be
utilized with governor at the same time for the frequency response due
to characteristic of its fast response speed and moreover, the cost of
ESS is declined rapidly to the reasonable price. This paper presents the
ESS control strategy to extend usage of the ESS taken account into
governor’s ramp rate and reduce the governor’s intervention as well.
All results in this paper are simulated by MATLAB.
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.
Abstract: In this paper, we calculate the two-photon ionization
(TPI) cross-section for pump-probe scheme in Ag neutral cluster. The
pump photon energy is assumed to be close to the surface plasmon
(SP) energy of cluster in dielectric media. Due to this choice, the
pump wave excites collective oscillations of electrons-SP and the
probe wave causes ionization of the cluster. Since the interband
transition energy in Ag exceeds the SP resonance energy, the main
contribution into the TPI comes from the latter. The advantage of Ag
clusters as compared to the other noble metals is that the SP
resonance in silver cluster is much sharper because of peculiarities of
its dielectric function. The calculations are performed by separating
the coordinates of electrons corresponding to the collective
oscillations and the individual motion that allows taking into account
the resonance contribution of excited SP oscillations. It is shown that
the ionization cross section increases by two orders of magnitude if
the energy of the pump photon matches the surface plasmon energy
in the cluster.
Abstract: Background: Breast milk may impact early brain
development, with potentially important biological, medical and
social implications. There is an important discussion on which is the
adequate breastfeeding extension to the development consolidation
and how the children breastfeeding affects their psychomotor
development, in the first year of life, and in following periods as
well. Some special fats (LC PUFA) contained in breast milk play a
key role in the brain’s maturation and cognitive development or
social skills. These capacities created during breastfeeding time
would be unfolded throughout all lifespan. Aim of the study: In our research, we have studied the effect of
breastfeeding in preschooler's psychomotor assessment.
Method: This study was conducted in a sample of 158 preschool
children in Vlorë, Albania. We have measured the psychometric
parameters of preschoolers with ASQ-3 (Age&Stage Questionnaires-
3). The studied sample was divided in three groups according to their
breastfeeding duration (3, 6 and 12 months). Results: Children breastfed for only 3 months have definitely
lower psychometric scores compared to the ones with 6 or more
months of breastfeeding (respectively 217 to 239 ASQ-3 scores). Six
and twelvemonth breastfed children have progressively more odds to
have high levels of psychomotor development comparing to those
with only 3 months of breastfeeding. The most affected psychometric
domains by shortness of breastfeeding are Communication and
Global motor. Conclusion: This leads to conclusion that to ensure high
psychomotor parameters during childhood is necessary breastfeeding
for at least 6 months.
Abstract: The Petri nets are the first standard for business
process modeling. Most probably, it is one of the core reasons why
all new standards created afterwards have to be so reformed as to
reach the stage of mapping the new standard onto Petri nets. The paper presents a business process repository based on a
universal database. The repository provides the possibility the data
about a given process to be stored in three different ways. Business
process repository is developed with regard to the reformation of a
given model to a Petri net in order to be easily simulated. Two different techniques for business process simulation based on
Petri nets - Yasper and Woflan are discussed. Their advantages and
drawbacks are outlined. The way of simulating business process
models, stored in the Business process repository is shown.
Abstract: In the vicinity of red sea about 15 fungi species were
isolated from oil contaminated sites. On the basis of aptitude to
degrade the crude oil and DCPIP assay, two fungal isolates were
selected amongst 15 oil degrading strains. Analysis of ITS-1, ITS-2
and amplicon pyrosequencing studies of fungal diversity revealed
that these strains belong to Penicillium and Aspergillus species. Two
strains that proved to be the most efficient in degrading crude oil was
Aspergillus niger (54%) and Penicillium commune (48%) Subsequent
to two weeks of cultivation in BHS medium the degradation rate
were recorded by using spectrophotometer and GC-MS. Hence, it is
cleared that these fungal strains has capability of degradation and can
be utilize for cleaning the Saudi Arabian environment.
Abstract: The rapid development technology and widespread
Internet make business environment changing a lot. In order to stand in
the global market and to keep subsistence, “changing” is unspoken
rule for the company’s survival. The purpose of this paper is building
up change model by using SWOT, strategy map, KPI and change
management theory. The research findings indicate that the company
needs to deal with employee’s resistance emotion firstly before
building up change model. The ways of providing performance
appraisal reward, consulting and counseling mechanisms that will
great help to achieve reducing staff negative emotions and motivate
staff’s efficiencies also. To revise strategy map, modify corporate
culture, and improve internal operational processes which is based on
change model. Through the change model, the increasing growth rate
of net income helps company to achieve the goals and be a leading
brand of precision machinery industry.
Abstract: Within this paper, latest results on processing of energetic nanomaterials by means of the Spray Flash Evaporation technique are presented. This technology constitutes a highly effective and continuous way to prepare fascinating materials on the nano- and micro-scale. Within the process, a solution is set under high pressure and sprayed into an evacuated atomization chamber. Subsequent ultrafast evaporation of the solvent leads to an aerosol stream, which is separated by cyclones or filters. No drying gas is required, so the present technique should not be confused with spray dying. Resulting nanothermites, insensitive explosives or propellants and compositions are foreseen to replace toxic (according to REACH) and very sensitive matter in military and civil applications. Diverse examples are given in detail: nano-RDX (n-Cyclotrimethylentrinitramin) and nano-aluminum based systems, mixtures (n-RDX/n-TNT - trinitrotoluene) or even cocrystalline matter like n-CL-20/HMX (Hexanitrohexaazaisowurtzitane/ Cyclotetra-methylentetranitramin). These nanomaterials show reduced sensitivity by trend without losing effectiveness and performance. An analytical study for material characterization was performed by using Atomic Force Microscopy, X-Ray Diffraction, and combined techniques as well as spectroscopic methods. As a matter of course, sensitivity tests regarding electrostatic discharge, impact, and friction are provided.
Abstract: This paper presents the results of a study to assess
crucial aspects and the strength of the scientific basis of a typically
interdisciplinary, applied field: food supply chain risk assessment
research. Our approach is based on an advanced scientometrics
analysis that is a quantitative study of the disciplines of science based
on published literature to measure interdisciplinary. This paper aims
to describe the quantity and quality of the publication trends in food
supply chain risk assessment. The publication under study was
composed of 266 articles from database web of science. The results
were analyzed based on date of publication, type of document,
language of the documents, source of publications, subject areas,
authors and their affiliations, and the countries involved in
developing the articles.
Abstract: Steel extended end plate bolted connections are
recommended to be widely utilized in special moment-resisting frame
subjected to monotonic loading. Improper design of steel beam to
column connection can lead to the collapse and fatality of structures.
Therefore comprehensive research studies of beam to column
connection design should be carried out. Also the performance and
effect of corrugated on the strength of beam column end plate
connection up to failure under monotonic loading in horizontal
direction is presented in this paper. The non-linear elastic–plastic
behavior has been considered through a finite element analysis using
the multi-purpose software package LUSAS. The effect of vertically
and horizontally types of corrugated web was also investigated.
Abstract: Liver segmentation from medical images poses more
challenges than analogous segmentations of other organs. This
contribution introduces a liver segmentation method from a series of
computer tomography images. Overall, we present a novel method for
segmenting liver by coupling density matching with shape priors.
Density matching signifies a tracking method which operates via
maximizing the Bhattacharyya similarity measure between the
photometric distribution from an estimated image region and a model
photometric distribution. Density matching controls the direction of
the evolution process and slows down the evolving contour in regions
with weak edges. The shape prior improves the robustness of density
matching and discourages the evolving contour from exceeding liver’s
boundaries at regions with weak boundaries. The model is
implemented using a modified distance regularized level set (DRLS)
model. The experimental results show that the method achieves a
satisfactory result. By comparing with the original DRLS model, it is
evident that the proposed model herein is more effective in addressing
the over segmentation problem. Finally, we gauge our performance of
our model against matrices comprising of accuracy, sensitivity, and
specificity.