Abstract: This paper focuses on the orbit avoidance strategy of
the optical remote sensing satellite. The optical remote sensing
satellite, moving along the Sun-synchronous orbit, is equipped with
laser warning equipment to alert CCD camera from laser attacks. This
paper explores the strategy of satellite avoidance to protect the CCD
camera and also the satellite. The satellite could evasive to several
target points in the orbital coordinates of virtual satellite. The so-called
virtual satellite is a passive vehicle which superposes the satellite at the
initial stage of avoidance. The target points share the consistent cycle
time and the same semi-major axis with the virtual satellite, which
ensures the properties of the satellite’s Sun-synchronous orbit remain
unchanged. Moreover, to further strengthen the avoidance capability
of satellite, it can perform multi-target-points avoid maneuvers. On
occasions of fulfilling the satellite orbit tasks, the orbit can be restored
back to virtual satellite through orbit maneuvers. There into, the avoid
maneuvers adopts pulse guidance. In addition, the fuel consumption is
optimized. The avoidance strategy discussed in this article is
applicable to optical remote sensing satellite when it is encountered
with hostile attack of space-based laser anti-satellite.
Abstract: The objective of this study was to synthesize and
characterize the poly(alkenoic acid)s with different molecular
structures, use these polymers to formulate a dental cement
restorative, and study the effect of molecular structures on reaction
kinetics, viscosity, and mechanical strengths of the formed polymers
and cement restoratives. In this study, poly(alkenoic acid)s with
different molecular structures were synthesized. The purified
polymers were formulated with commercial Fuji II LC glass fillers to
form the experimental cement restoratives. The reaction kinetics was
studied via 1HNMR spectroscopy. The formed restoratives were
evaluated using compressive strength, diametral tensile strength,
flexural strength, hardness and wear-resistance tests. Specimens were
conditioned in distilled water at 37oC for 24 h prior to testing. Fuji II
LC restorative was used as control. The results show that the higher
the arm number and initiator concentration, the faster the reaction
was. It was also found that the higher the arm number and branching
that the polymer had, the lower the viscosity of the polymer in water
and the lower the mechanical strengths of the formed restorative. The
experimental restoratives were 31-53% in compressive strength, 37-
55% in compressive modulus, 80-126% in diametral tensile strength,
76-94% in flexural strength, 4-21% in fracture toughness and 53-96%
in hardness higher than Fuji II LC. For wear test, the experimental
restoratives were only 5.4-13% of abrasive and 6.4-12% of attritional
wear depths of Fuji II LC in each wear cycle. The aging study also
showed that all the experimental restoratives increased their strength
continuously during 30 days, unlike Fuji II LC. It is concluded that
polymer molecular structures have significant and positive impact on
mechanical properties of dental cement restoratives.
Abstract: Introduction: The process to build a better safety
culture, methods of error analysis, and preventive measures, starts
with an understanding of the effects when human factors engineering
refer to remote microscopic diagnosis in surgery and specially in
organ transplantation for the remote evaluation of the grafts. It has
been estimated that even in well-organized transplant systems an
average of 8% to 14% of the grafts (G) that arrive at the recipient
hospitals may be considered as diseased, injured, damaged or
improper for transplantation. Digital microscopy adds information on
a microscopic level about the grafts in Organ Transplant (OT), and
may lead to a change in their management. Such a method will
reduce the possibility that a diseased G, will arrive at the recipient
hospital for implantation. Aim: Ergonomics of Digital Microscopy
(DM) based on virtual slides, on Telemedicine Systems (TS) for
Tele-Pathological (TPE) evaluation of the grafts (G) in organ
transplantation (OT). Material and Methods: By experimental
simulation, the ergonomics of DM for microscopic TPE of Renal
Graft (RG), Liver Graft (LG) and Pancreatic Graft (PG) tissues is
analyzed. In fact, this corresponded to the ergonomics of digital
microscopy for TPE in OT by applying Virtual Slide (VS) system for
graft tissue image capture, for remote diagnoses of possible
microscopic inflammatory and/or neoplastic lesions. Experimentation
included: a. Development of an OTE-TS similar Experimental
Telemedicine System (Exp.-TS), b. Simulation of the integration of
TS with the VS based microscopic TPE of RG, LG and PG applying
DM. Simulation of the DM based TPE was performed by 2
specialists on a total of 238 human Renal Graft (RG), 172 Liver Graft
(LG) and 108 Pancreatic Graft (PG) tissues digital microscopic
images for inflammatory and neoplastic lesions on four electronic
spaces of the four used TS. Results: Statistical analysis of specialist‘s
answers about the ability to diagnose accurately the diseased RG, LG
and PG tissues on the electronic space among four TS (A,B,C,D)
showed that DM on TS for TPE in OT is elaborated perfectly on the
ES of a Desktop, followed by the ES of the applied Exp.-TS. Tablet
and Mobile-Phone ES seem significantly risky for the application of
DM in OT (p
Abstract: Background: To improve the delivery of paediatric
healthcare in low resource settings, Community Health Workers
(CHW) have been provided with a paper-based set of protocols
known as Community Case Management (CCM). Yet research has
shown that CHW adherence to CCM guidelines is poor, ultimately
impacting health service delivery. Digitising the CCM guidelines via
mobile technology is argued in extant literature to improve CHW
adherence. However, little research exist which outlines how (a) this
process can be digitised and (b) adherence could be improved as a
result. Aim: To explore how an electronic mobile version of CCM
(eCCM) can overcome issues associated with the paper-based CCM
protocol (inadequate adherence to guidelines) vis-à-vis service
blueprinting. This service blueprint will outline how (a) the CCM
process can be digitised using mobile Clinical Decision Support
Systems software to support clinical decision-making and (b)
adherence can be improved as a result. Method: Development of a
single service blueprint for a standalone application which visually
depicts the service processes (eCCM) when supporting the CHWs,
using an application known as Supporting LIFE (SL eCCM app) as
an exemplar. Results: A service blueprint is developed which
illustrates how the SL eCCM app can be utilised by CHWs to assist
with the delivery of healthcare services to children. Leveraging
smartphone technologies can (a) provide CHWs with just-in-time
data to assist with their decision making at the point-of-care and (b)
improve CHW adherence to CCM guidelines. Conclusions: The
development of the eCCM opens up opportunities for the CHWs to
leverage the inherent benefit of mobile devices to assist them with
health service delivery in rural settings. To ensure that benefits are
achieved, it is imperative to comprehend the functionality and form
of the eCCM service process. By creating such a service blueprint for
an eCCM approach, CHWs are provided with a clear picture
regarding the role of the eCCM solution, often resulting in buy-in
from the end-users.
Abstract: In this study, a general approach to the reliability
based limit analysis of laterally loaded piles is presented. In
engineering practice the uncertainties play a very important role. The
aim of this study is to evaluate the lateral load capacity of free-head
and fixed-head long pile when plastic limit analysis is considered. In
addition to the plastic limit analysis to control the plastic behaviour
of the structure, uncertain bound on the complementary strain energy
of the residual forces is also applied. This bound has significant effect
for the load parameter. The solution to reliability-based problems is
obtained by a computer program which is governed by the reliability
index calculation.
Abstract: Temperature regulating system by gaseous nitrogen is
of importance to the space environment simulator, which keeps the
shrouds in the temperature range from -150°C to +150°C. Liquid
nitrogen spray equipment is one of the most critical parts in the
temperature regulating system by gaseous nitrogen. Y type jet
atomizer and internal mixing atomizer of the liquid nitrogen spray
equipment are studied in this paper, 2D/3D atomizer model was
established and grid division was conducted respectively by the
software of Catia and ICEM. Based on the above preparation,
numerical simulation on the spraying process of the atomizer by
FLUENT is performed. Using air and water as the medium,
comparison between the tests and numerical simulation was conducted
and the results of two ways match well. Hence, it can be conclude that
this atomizer model can be applied in the numerical simulation of
liquid nitrogen spray equipment.
Abstract: Fires is one of the main types of disturbances that
shape ecosystems in the Mediterranean region. However nowadays,
climate alterations towards higher temperatures result on increased
levels of fire intensity, frequency and spread as well as difficulties for
natural regeneration to occur. Thasos Island is one of the Greek
islands that has experienced those problems. Since 1984, a series of
wildfires led to the reduction of forest cover from 61.6% to almost
20%. The negative impacts were devastating in many different
aspects for the island. The absence of plant cover, post-wildfire
precipitation and steep slopes were the major factors that induced
severe soil erosion and intense floods. That also resulted to serious
economic problems to the local communities and the inability of the
burnt areas to regenerate naturally. Despite the substantial amount of
published work regarding Thasos wildfires, there is no information
related to post-wildfire effects on factors such as soil erosion. More
research related to post-fire effects should help to an overall
assessment of the negative impacts of wildfires on land degradation
through processes such as soil erosion and flooding.
Abstract: South Africa is in its post-industrial era moving from
the primary and secondary sector to the tertiary sector. The study
investigated the impact of the disaggregated energy consumption
(coal, oil, and electricity) on the primary, secondary and tertiary
sectors of the economy between 1980 and 2012 in South Africa.
Using vector error correction model, it was established that South
Africa is an energy dependent economy, and that energy (especially
electricity and oil) is a limiting factor of growth. This implies that
implementation of energy conservation policies may hamper
economic growth. Output growth is significantly outpacing energy
supply, which has necessitated load shedding. To meet up the excess
energy demand, there is a need to increase the generating capacity
which will necessitate increased investment in the electricity sector as
well as strategic steps to increase oil production. There is also need to
explore more renewable energy sources, in order to meet the growing
energy demand without compromising growth and environmental
sustainability. Policy makers should also pursue energy efficiency
policies especially at sectoral level of the economy.
Abstract: The aim of this study is to empirically investigate the
mediating impact of export performance (EP) between technological
advancement capabilities and business performance (BP) of
Malaysian manufacturing micro, small and medium sized enterprises
(MSME’s). Firm’s technological advancement resources are
hypothesized as a platform to enhance both exports and BP of
manufacturing MSMEs in Malaysia. This study is twofold, primary it
has investigated that technological advancement capabilities helps to
appreciates main performance measures noted in terms of EP and
Secondly, it investigates that how efficiently and effectively
technological advancement capabilities can contribute in overall
Malaysian MSME’s BP. Smart PLS-3 statistical software is used to
know the association between technological advancement
capabilities, MSME’s EP and BP. In this study, the data was
composed from Malaysian manufacturing MSME’s in east coast
industrial zones known as the manufacturing hub of MSMEs. Seven
hundred and fifty (750) questionnaires were distributed, but only 148
usable questionnaires are returned. The finding of this study indicated
that technological advancement capabilities helps to strengthen the
export in term of time and cost efficient and it plays a significant role
in appreciating their BP. This study is helpful for small and medium
enterprise owners who intend to expand their business overseas and
though smart technological advancement resources they can achieve
their business competitiveness and excellence both at local and
international markets.
Abstract: Mixed-use development is one of the most important
trends in new island house transformation along southeast coastal area
in China. Unique island geographical environment and profound
fishing village culture coexist for a long time in this. With artistic
creation for the purpose of the "live-work" houses are in a large
number of emergence, however, still lack of systematic strategy.
Based on space effect from marine resources to regional human
settlements, this article teases out the evolution regularity of island
settlement context and architectural form, then, puts forward the
formation mechanism and construction model of art island houses.
Thereby, to further explore space design method and site creation
strategy of mixed-use development.
Abstract: Presently various computational techniques are used
in modeling and analyzing environmental engineering data. In the
present study, an intra-comparison of polynomial and radial basis
kernel functions based on Support Vector Regression and, in turn, an
inter-comparison with Multi Linear Regression has been attempted in
modeling mass transfer capacity of vertical (θ = 90O) and inclined (θ
multiple plunging jets (varying from 1 to 16 numbers). The data set
used in this study consists of four input parameters with a total of
eighty eight cases, forty four each for vertical and inclined multiple
plunging jets. For testing, tenfold cross validation was used.
Correlation coefficient values of 0.971 and 0.981 along with
corresponding root mean square error values of 0.0025 and 0.0020
were achieved by using polynomial and radial basis kernel functions
based Support Vector Regression respectively. An intra-comparison
suggests improved performance by radial basis function in
comparison to polynomial kernel based Support Vector Regression.
Further, an inter-comparison with Multi Linear Regression
(correlation coefficient = 0.973 and root mean square error = 0.0024)
reveals that radial basis kernel functions based Support Vector
Regression performs better in modeling and estimating mass transfer
by multiple plunging jets.
Abstract: The aim of this paper is to analyze the impact of
literature review software on researchers. The aim of this study was
achieved by analyzing models in terms of perceived usefulness,
perceived ease of use, and acceptance level. Collected data were
analyzed using WarpPLS 4.0 software. This study used two
theoretical frameworks, namely, Technology Acceptance Model and
the Training Needs Assessment Model. The study was experimental
and was conducted at a public university in South Africa. The results
of the study showed that acceptance level has a high impact on
research productivity followed by perceived usefulness and perceived
ease of use.
Abstract: The paper aims at investigating the effect of number
of story on different structural components of reinforced concrete
building due to gravity and lateral loading. For the study, three
building models having same building plan of three, six and nine
stories are analyzed and designed using software package. All the
buildings are residential and are located in Dhaka city of Bangladesh.
Lateral load including wind and earthquake loading are applied to the
building along both longitudinal and transverse direction as per
Bangladesh National Building Code (BNBC, 2006). Equivalent static
force method is followed for the applied seismic loading. The present
study investigates as well as compares mainly total steel requirement
in different structural components for those buildings. It has been
found that total longitudinal steel requirement for beams at each floor
is 48.57% for three storied building, 61.36% for six storied building
when the total percentage is taken as 100% in case of nine storied
building. For an exterior column, the steel ratio is 2.1%, 3.06%,
4.55% for three, six and nine storied building respectively for the first
three floors. In addition, it has been noted that total weight of
longitudinal reinforcement of an interior column is 14.02 % for threestoried
building and 43.12% for six storied building when the total
reinforcement is considered 100% for nine storied building for the
first three floors.
Abstract: A clay soil classified as A-7-6 and CH soil according
to AASHTO and unified soil classification system respectively, was
stabilized using A-3 soil (AASHTO soil classification system). The
clay soil was replaced with 0%, 10%, 20%, to 100% A-3 soil,
compacted at both British Standard Light (BSL) and British Standard
Heavy (BSH) compaction energy levels and using Unconfined
Compressive Strength (UCS) as evaluation criteria. The Maximum
Dry Density (MDD) of the treated soils at both the BSL and BSH
compaction energy levels showed increase from 0% to 40% A-3 soil
replacement after which the values reduced to 100% replacement.
The trend of the Optimum Moisture Content (OMC) with varied A-3
soil replacement was similar to that of MDD but in a reversed order.
The OMC reduced from 0% to 40% A-3 soil replacement after which
the values increased to 100% replacement. This trend was attributed
to the observed reduction in void ratio from 0% to 40% replacement
after which the void ratio increased to 100% replacement. The
maximum UCS for the soil at varied A-3 soil replacement increased
from 272 and 770 kN/m2 for BSL and BSH compaction energy level
at 0% replacement to 295 and 795 kN/m2 for BSL and BSH
compaction energy level respectively at 10% replacement after which
the values reduced to 22 and 60 kN/m2 for BSL and BSH compaction
energy level respectively at 70% replacement. Beyond 70%
replacement, the mixtures could not be moulded for UCS test.
Abstract: One of the challenges that higher education faces is to
find how to approach the sustainability in an inclusive way to the
student within all the different academic areas, how to move the
sustainable development from the abstract field to the operational
field. This research comes from the ecoliteracy and the pedagogical
praxis as tools for rebuilding the teaching processes inside of
universities. The purpose is to determine and describe which are the
factors involved in the process of learning particularly in the
Greenhouse-School Siembra UV. In the Greenhouse-School Siembra UV, of the University of
Veracruz, are cultivated vegetables, medicinal plants and small
cornfields under the usage of eco-technologies such as hydroponics,
Wickingbed and Hugelkultur, which main purpose is the saving of
space, labor and natural resources, as well as function as agricultural
production alternatives in the urban and periurban zones. The sample was formed with students from different academic
areas and who are actively involved in the greenhouse, as well as
institutes from the University of Veracruz and governmental and nongovernmental
departments. This project comes from a pedagogic praxis approach, from filling
the needs that the different professional profiles of the university
students have. All this with the purpose of generate a pragmatic
dialogue with the sustainability. It also comes from the necessity to
understand the factors that intervene in the students’ praxis. In this
manner is how the students are the fundamental unit in the sphere of
sustainability. As a result, it is observed that those University of Veracruz
students who are involved in the Greenhouse-school, Siembra UV,
have enriched in different levels the sense of urban and periurban
agriculture because of the diverse academic approaches they have
and the interaction between them. It is concluded that the ecotechnologies
act as fundamental tools for ecoliteracy in society,
where it is strengthen the nutritional and food security from a
sustainable development approach.
Abstract: To study the dynamic mechanics response of asphalt
pavement under the temperature load and vehicle loading, asphalt
pavement was regarded as multilayered elastic half-space system, and
theory analysis was conducted by regarding dynamic modulus of
asphalt mixture as the parameter. Firstly, based on the dynamic
modulus test of asphalt mixture, function relationship between the
dynamic modulus of representative asphalt mixture and temperature
was obtained. In addition, the analytical solution for thermal stress in
single layer was derived by using Laplace integral transformation and
Hankel integral transformation respectively by using thermal
equations of equilibrium. The analytical solution of calculation model
of thermal stress in asphalt pavement was derived by transfer matrix
of thermal stress in multilayer elastic system. Finally, the variation of
thermal stress in pavement structure was analyzed. The result shows
that there is obvious difference between the thermal stress based on
dynamic modulus and the solution based on static modulus. So the
dynamic change of parameter in asphalt mixture should be taken into
consideration when theoretical analysis is taken out.
Abstract: The use of wireless technology in industrial networks
has gained vast attraction in recent years. In this paper, we have
thoroughly analyzed the effect of contention window (CW) size on
the performance of IEEE 802.11-based industrial wireless networks
(IWN), from delay and reliability perspective. Results show that the
default values of CWmin, CWmax, and retry limit (RL) are far from
the optimum performance due to the industrial application
characteristics, including short packet and noisy environment. In this
paper, an adaptive CW algorithm (payload-dependent) has been
proposed to minimize the average delay. Finally a simple, but
effective CW and RL setting has been proposed for industrial
applications which outperforms the minimum-average-delay solution
from maximum delay and jitter perspective, at the cost of a little
higher average delay. Simulation results show an improvement of up
to 20%, 25%, and 30% in average delay, maximum delay and jitter
respectively.
Abstract: People, throughout the history, have made estimates
and inferences about the future by using their past experiences.
Developing information technologies and the improvements in the
database management systems make it possible to extract useful
information from knowledge in hand for the strategic decisions.
Therefore, different methods have been developed. Data mining by
association rules learning is one of such methods. Apriori algorithm,
one of the well-known association rules learning algorithms, is not
commonly used in spatio-temporal data sets. However, it is possible
to embed time and space features into the data sets and make Apriori
algorithm a suitable data mining technique for learning spatiotemporal
association rules. Lake Van, the largest lake of Turkey, is a
closed basin. This feature causes the volume of the lake to increase or
decrease as a result of change in water amount it holds. In this study,
evaporation, humidity, lake altitude, amount of rainfall and
temperature parameters recorded in Lake Van region throughout the
years are used by the Apriori algorithm and a spatio-temporal data
mining application is developed to identify overflows and newlyformed
soil regions (underflows) occurring in the coastal parts of
Lake Van. Identifying possible reasons of overflows and underflows
may be used to alert the experts to take precautions and make the
necessary investments.
Abstract: The critical concern of satellite operations is to ensure
the health and safety of satellites. The worst case in this perspective
is probably the loss of a mission, but the more common interruption
of satellite functionality can result in compromised mission
objectives. All the data acquiring from the spacecraft are known as
Telemetry (TM), which contains the wealth information related to the
health of all its subsystems. Each single item of information is
contained in a telemetry parameter, which represents a time-variant
property (i.e. a status or a measurement) to be checked. As a
consequence, there is a continuous improvement of TM monitoring
systems to reduce the time required to respond to changes in a
satellite's state of health. A fast conception of the current state of the
satellite is thus very important to respond to occurring failures.
Statistical multivariate latent techniques are one of the vital learning
tools that are used to tackle the problem above coherently.
Information extraction from such rich data sources using advanced
statistical methodologies is a challenging task due to the massive
volume of data. To solve this problem, in this paper, we present a
proposed unsupervised learning algorithm based on Principle
Component Analysis (PCA) technique. The algorithm is particularly
applied on an actual remote sensing spacecraft. Data from the
Attitude Determination and Control System (ADCS) was acquired
under two operation conditions: normal and faulty states. The models
were built and tested under these conditions, and the results show that
the algorithm could successfully differentiate between these
operations conditions. Furthermore, the algorithm provides
competent information in prediction as well as adding more insight
and physical interpretation to the ADCS operation.
Abstract: Hydrogels are three-dimensional, hydrophilic,
polymeric networks composed of homopolymers or copolymers and
are insoluble in water due to the presence of chemical or physical
cross-links. When hydrogels come in contact with aqueous solutions,
they can effectively sorb and retain the dissolved substances,
depending on the nature of the monomeric units comprising the
hydrogel. For this reason, hydrogels have been proposed in several
studies as water purification agents. At the present work anionic
hydrogels bearing negatively charged –COO- groups were prepared
and investigated. These gels are based on sodium acrylate (ANa),
either homopolymerized (poly(sodiumacrylate), PANa) or
copolymerized (P(DMAM-co-ANa)) with N,N Dimethylacrylamide
(DMAM). The hydrogels were used to extract some model organic
dyes from water. It is found that cationic dyes are strongly sorbed and
retained by the hydrogels, while sorption of anionic dyes was
negligible. In all cases it was found that both maximum sorption
capacity and equilibrium binding constant varied from one dye to the
other depending on the chemical structure of the dye, the presence of
functional chemical groups and the hydrophobic-hydrophilic balance.
Finally, the nonionic hydrogel of the homopolymer poly(N,Ndimethylacrylamide),
PDMAM, was also used for reasons of
comparison.