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: 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: The purpose of this study is to propose an effective method to improve frictional coefficient between shoe rubber soles with added glass fibers and the surfaces of icy and snowy road in order to prevent slip-and-fall accidents by the users. The additional fibers into the rubber were uniformly tilted to the perpendicular direction of the frictional surface, where tilting angles were -60, -30, +30, +60, 90 degrees and 0 (as normal specimen), respectively. It was found that parallel arraignment was effective to improve the frictional coefficient when glass fibers were embedded in the shoe rubber, while perpendicular to normal direction of the embedded glass fibers on the shoe surface was also effective to do that once after they were exposed from the shoe rubber with its abrasion. These improvements were explained by the increase of stiffness against the shear deformation of the rubber at critical frictional state and adequate scratching of fibers when fibers were protruded in perpendicular to frictional direction, respectively. Most effective angle of tilting of frictional coefficient between rubber specimens and a stone was perpendicular (= 0 degree) to frictional direction. Combinative modified rubber specimen having 2 layers was fabricated where tilting angle of protruded fibers was 0 degree near the contact surface and tilting angle of embedded fibers was 90 degrees near back surface in thickness direction to further improve the frictional coefficient. Current study suggested that effective arraignments in tilting angle of the added fibers should be applied in designing rubber shoe soles to keep the safeties for users in regions of cold climates.
Abstract: Rotary entrainment is a phenomenon in which the
interface of two immiscible fluids are subjected to external flux by
means of rotation. Present work reports the experimental study on
rotary motion of a horizontal cylinder between the interface of air and
water to observe the penetration of gas inside the liquid. Experiments
have been performed to establish entrainment of air mass in water
alongside the cylindrical surface. The movement of tracer and seeded
particles has been tracked to calculate the speed and path of the
entrained air inside water. Simplified particle image velocimetry
technique has been used to trace the movement of particles/tracers at
the moment they are injected inside the entrainment zone and
suspended beads have been used to replicate the particle movement
with respect to time in order to determine the flow dynamics of the
fluid along the cylinder. Present paper establishes a thorough experimental analysis of the
rotary entrainment phenomenon between air and water keeping in
interest the extent to which we can intermix the two and also to study
its entrainment trajectories.
Abstract: In this paper, we have reported birefringence
manipulation in regenerated high birefringent fiber Bragg grating
(RPMG) by using CO2 laser annealing method. The results indicate
that the birefringence of RPMG remains unchanged after CO2 laser
annealing followed by slow cooling process, but reduced after fast
cooling process (~5.6×10-5). After a series of annealing procedures
with different cooling rates, the obtained results show that slower the
cooling rate, higher the birefringence of RPMG. The volume, thermal
expansion coefficient (TEC) and glass transition temperature (Tg)
change of stress applying part in RPMG during cooling process are
responsible for the birefringence change. Therefore, these findings
are important to the RPMG sensor in high and dynamic temperature
environment. The measuring accuracy, range and sensitivity of
RPMG sensor is greatly affected by its birefringence value. This
work also opens up a new application of CO2 laser for fiber annealing
and birefringence modification.
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: Internship is a supervised and structured learning
experience related to one’s field of study or career goal. Internship
allows students to obtain work experience and the opportunity to
apply skills learned during university. Internship is a valuable
learning experience for students; however, literature on employer
assessment is scarce on Malaysian student’s internship experience.
This study focuses on employer’s perspective on student’s
performances during their three months of internship. The results are
based on the descriptive analysis of 45 sets of question gathered from
the on-site supervisors of the interns. The survey of 45 on-site
supervisor’s feedback was collected through postal mail. It was found
that, interns have not met their on-site supervisor’s expectations in
many areas. The significance of this study is employer’s assessment
on the internship shall be used as feedback to improve on ways how
to prepare students for their internship and employments in future.
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 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 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: 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: 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 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: 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: 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: 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: For the last decade, researchers have started to focus
their interest on Multicast Group Key Management Framework. The
central research challenge is secure and efficient group key
distribution. The present paper is based on the Bit model based
Secure Multicast Group key distribution scheme using the most
popular absolute encoder output type code named Gray Code. The
focus is of two folds. The first fold deals with the reduction of
computation complexity which is achieved in our scheme by
performing fewer multiplication operations during the key updating
process. To optimize the number of multiplication operations, an
O(1) time algorithm to multiply two N-bit binary numbers which
could be used in an N x N bit-model of reconfigurable mesh is used
in this proposed work. The second fold aims at reducing the amount
of information stored in the Group Center and group members while
performing the update operation in the key content. Comparative
analysis to illustrate the performance of various key distribution
schemes is shown in this paper and it has been observed that this
proposed algorithm reduces the computation and storage complexity
significantly. Our proposed algorithm is suitable for high
performance computing environment.