Abstract: This paper reports on the theoretical performance
analysis of the 1.3 μm In0.42Ga0.58As /In0.26Ga0.74As multiple quantum
well (MQW) vertical cavity surface emitting laser (VCSEL) on the
ternary In0.31Ga0.69As substrate. The output power of 2.2 mW has
been obtained at room temperature for 7.5 mA injection current. The
material gain has been estimated to be ~3156 cm-1 at room
temperature with the injection carrier concentration of 2×1017 cm-3.
The modulation bandwidth of this laser is measured to be 9.34 GHz
at room temperature for the biasing current of 2 mA above the
threshold value. The outcomes reveal that the proposed InGaAsbased
MQW laser is the promising one for optical communication
system.
Abstract: Taking into account the importance of Lake Sevan and
Lake Sevan basin-s rivers for Armenian economy, the main goals of
our investigations were the documentation of water quality and the
biodiversity of invertebrates developed in Lake Sevan basin-s rivers
and selected tributaries.
Moderately satisfied ecological condition for the biodiversity of
Lake Sevan basin-s rivers has been established, and the changes in
species- composition of zoobenthos in Lake Sevan were detected.
A growing tendency of antibiotic resistance among E. coli isolates
in water resources has been shown.
Abstract: Zeolite A and MCM-41 have extensive applications in basic science, petrochemical science, energy conservation/storage, medicine, chemical sensor, air purification, environmentally benign composite structure and waste remediation. However, the use of zeolite A and MCM-41 in these areas, especially environmental remediation, are restricted due to prohibitive production cost. Efficient recycling of and resource recovery from coal fly ash has been a major topic of current international research interest, aimed at achieving sustainable development of human society from the viewpoints of energy, economy, and environmental strategy. This project reported an original, novel, green and fast methods to produce nano-porous zeolite A and MCM-41 materials from coal fly ash. For zeolite A, this novel production method allows a reduction by half of the total production time while maintaining a high degree of crystallinity of zeolite A which exists in a narrower particle size distribution. For MCM-41, this remarkably green approach, being an environmentally friendly process and reducing generation of toxic waste, can produce pure and long-range ordered MCM-41 materials from coal fly ash. This approach took 24 h at 25 oC to produce 9 g of MCM-41 materials from 30 g of the coal fly ash, which is the shortest time and lowest reaction temperature required to produce pure and ordered MCM-41 materials (having the largest internal surface area) compared to the values reported in the literature. Performance evaluation of the produced zeolite A and MCM-41 materials in wastewater treatment and air pollution control were reported. The residual fly ash was also converted to zeolite Na-P1 which showed good performance in removal of multi-metal ions in wastewater. In wastewater treatment, compared to commercial-grade zeolite A, adsorbents produced from coal fly ash were effective in removing multi heavy metal ions in water and could be an alternative material for treatment of wastewater. In methane emission abatement, the zeolite A (produced from coal fly ash) achieved similar methane removal efficiency compared to the zeolite A prepared from pure chemicals. This report provides the guidance for production of zeolite A and MCM-41 from coal fly ash by a cost-effective approach which opens potential applications of these materials in environmental industry. Finally, environmental and economic aspects of production of zeolite A and MCM-41 from coal fly ash were discussed.
Abstract: This paper presents features that characterize power
quality disturbances from recorded voltage waveforms using wavelet
transform. The discrete wavelet transform has been used to detect
and analyze power quality disturbances. The disturbances of interest
include sag, swell, outage and transient. A power system network has
been simulated by Electromagnetic Transients Program. Voltage
waveforms at strategic points have been obtained for analysis, which
includes different power quality disturbances. Then wavelet has been
chosen to perform feature extraction. The outputs of the feature
extraction are the wavelet coefficients representing the power quality
disturbance signal. Wavelet coefficients at different levels reveal the
time localizing information about the variation of the signal.
Abstract: Unlike Christianity and Buddhism, Islam, being one
of the three universal world religions, actively penetrates into
people-s everyday life. The main reason for this is that in Islam the
religion and ideology, philosophy, religious organizations and state
bodies are closely interrelated. In order to analyze the state of being
of interrelations of religion and civil society in Kazakhstan, it is
necessary to study Islam and its relations with spiritual culture of the
society. According to the Constitution of the Republic of Kazakhstan
the religion is separated from the state, i.e. each performs its own
function without interfering into each other-s affairs. The right of the
citizens of our republic to freedom of thinking and faith is based on
the Constitution of the RK, Civil Code, Law “On freedom of faith
and religious unions in the Republic of Kazakhstan".
Legislatively secured separation of the mosque and church from
the state does not mean that religion has no influence on the latter.
The state, consisting of citizens with their own beliefs, including
religious ones, cannot be isolated from the influence of religion.
Nowadays it is commonly accepted that it is not possible to
understand and forecast key social processes without taking into
account the religious factor.
Abstract: In this paper, a heuristic method for simultaneous
rescue robot path-planning and mission scheduling is introduced
based on project management techniques, multi criteria decision
making and artificial potential fields path-planning. Groups of
injured people are trapped in a disastrous situation. These people are
categorized into several groups based on the severity of their
situation. A rescue robot, whose ultimate objective is reaching
injured groups and providing preliminary aid for them through a path
with minimum risk, has to perform certain tasks on its way towards
targets before the arrival of rescue team. A decision value is assigned
to each target based on the whole degree of satisfaction of the criteria
and duties of the robot toward the target and the importance of
rescuing each target based on their category and the number of
injured people. The resulted decision value defines the strength of the
attractive potential field of each target. Dangerous environmental
parameters are defined as obstacles whose risk determines the
strength of the repulsive potential field of each obstacle. Moreover,
negative and positive energies are assigned to the targets and
obstacles, which are variable with respects to the factors involved.
The simulation results show that the generated path for two cases
studies with certain differences in environmental conditions and
other risk factors differ considerably.
Abstract: Currently WWW is the first solution for scholars in
finding information. But, analyzing and interpreting this volume of
information will lead to researchers overload in pursuing their
research.
Trend detection in scientific publication retrieval systems helps
scholars to find relevant, new and popular special areas by
visualizing the trend of input topic.
However, there are few researches on trend detection in scientific
corpora while their proposed models do not appear to be suitable.
Previous works lack of an appropriate representation scheme for
research topics.
This paper describes a method that combines Semantic Web and
ontology to support advance search functions such as trend detection
in the context of scholarly Semantic Web system (SSWeb).
Abstract: In this paper, we propose to study the synthesis of the
vertical dipole antenna over imperfect ground. The synthesis
implementation-s method for this type of antenna permits to
approach the appropriated radiance-s diagram. The used approach is
based on neural network. Our main contribution in this paper is the
extension of a synthesis model of this vertical dipole antenna over
imperfect ground.
Abstract: Using finite element method (FEM), the elastic
new strain-concentration factor (SNCF) of cylindrical bars
with circumferential flat-bottom groove is studied. This new
SNCF has been defined under triaxial stress state. The
employed specimens have constant groove depth with net
section and gross diameters of 10.0 and 16.7 mm,
respectively. The length of flatness ao has been varied form
0.0 ~12.5 mm to study the elastic SNCF of this type of
geometrical irregularities. The results that the elastic new
SNCF rapidly drops from its elastic value of the groove with
ao = 0.0, i.e. circumferential U-notch, and reaches minimum
value at ao = 2 mm. After that the elastic new SNCF becomes
nearly constant with increasing flatness length (ao). The value
of tensile load at yielding at the groove root increases with
increasing ao. The current results show that severity of the
notch decreases with increasing flatness length ao.
Abstract: In this paper, removal of chromium(VI) from aqueous
solution has been researched using reverse osmosis. The influence of
transmembrane pressure and feed concentration on permeate flux,
water recovery, permeate concentration, and salt rejection was
studied. The results showed that according to the variation of
transmembrane pressure and feed concentration, the permeate flux
and salt rejection were in the range 19.17 to 58.75 l/m2.min and
99.51 to 99.8 %, respectively. The highest permeate flux, 58.75
l/m2.min, and water recovery, 42.47 %, were obtained in the highest
pressure and the lowest feed concentration. On the other hand, the
lowest permeate concentration, 0.01 mg/l, and the highest salt
rejection, 99.8 %, were obtained in the highest pressure and the
lowest feed concentration.
Abstract: Environment today is featured with aging population,
increasing prevalence of chronic disease and complex of medical
treatment. Safe use of pharmaceutics relied very much on the efforts
made by both the health- related organizations and as well as the
government agencies. As far as the specialization concern in providing
health services to the patients, the government actively issued and
implemented the divisions of medical treatment and pharmaceutical to
improve the quality of care and to reduce medication errors and ensure
public health. Pharmaceutical sub-sector policy has been implemented
for 13 years. This study attempts to explore the factors that affect the
patients- behavior intention of refilling a prescription from a NHIB
pharmacy. Samples were those patients refilling their prescriptions
with the case NHIB pharmacies. A self-administered questionnaire
was used to collect respondents- information while the patients or
family members visit the pharmacy for the refilling. 1,200
questionnaires were dispatched in 37 pharmacies that randomly
selected from Pingtung City, Dongkang, Chaozhou, Hengchun areas.
732 responses were gained with 604 valid samples for further analyses.
Results of data analyses indicated that respondents- attitude,
subjective norm, perceived behavior control and behavior intentions
toward refilling behavior varied from some demographic variables to
another. This research also suggested adding actual behavior, either by
a self-report or observed, into the research.
Abstract: Privacy issues commonly discussed among
researchers, practitioners, and end-users in pervasive healthcare.
Pervasive healthcare systems are applications that can support
patient-s need anytime and anywhere. However, pervasive healthcare
raises privacy concerns since it can lead to situations where patients
may not be aware that their private information is being shared and
becomes vulnerable to threat. We have systematically analyzed the
privacy issues and present a summary in tabular form to show the
relationship among the issues. The six issues identified are medical
information misuse, prescription leakage, medical information
eavesdropping, social implications for the patient, patient difficulties
in managing privacy settings, and lack of support in designing
privacy-sensitive applications. We narrow down the issues and chose
to focus on the issue of 'lack of support in designing privacysensitive
applications' by proposing a privacy-sensitive architecture
specifically designed for pervasive healthcare monitoring systems.
Abstract: Yam starch obtained from the water yam (munlued)
by the wet milling process was studied for some physicochemical
properties. Yam starch film was prepared by casting using glycerol as
a plasticizer. The effect of different glycerol (1.30, 1.65 and
2.00g/100g of filmogenic solution) and starch concentrations (3.30,
3.65 and 4.00g /100g of filmogenic solution) were evaluated on some
characteristics of the film. The temperature for obtaining the
gelatinized starch solution was 70-80°C and then dried at 45°C for 4
hours. The resulting starch from munlued granular morphology was
triangular and the average size of the granule was 26.68 μm. The
amylose content by colorimetric method was 26 % and the gelatinize
temperature was 70-80°C. The appearance of the film was smooth,
transparent, and glossy with average moisture content of 25.96% and
thickness of 0.01mm. Puncture deformation and flexibility increased
with glycerol content. The starch and glycerol concentration were a
significant factor of the yam starch film characteristics. Yam starch
film can be described as a biofilm providing many applications and
developments with the advantage of biodegradability.
Abstract: This paper is the tomographic images reconstruction
simulation for defects detection in specimen. The specimen is the
thin cylindrical steel contained with low density materials. The
defects in material are simulated in three shapes.The specimen image
function will be transformed to projection data. Radon transform and
its inverse provide the mathematical for reconstructing tomographic
images from projection data. The result of the simulation show that
the reconstruction images is complete for defect detection.
Abstract: Model Predictive Control (MPC) is an established control
technique in a wide range of process industries. The reason for
this success is its ability to handle multivariable systems and systems
having input, output or state constraints. Neverthless comparing to
PID controller, the implementation of the MPC in miniaturized
devices like Field Programmable Gate Arrays (FPGA) and microcontrollers
has historically been very small scale due to its complexity in
implementation and its computation time requirement. At the same
time, such embedded technologies have become an enabler for future
manufacturing enterprisers as well as a transformer of organizations
and markets. In this work, we take advantage of these recent advances
in this area in the deployment of one of the most studied and applied
control technique in the industrial engineering. In this paper, we
propose an efficient firmware for the implementation of constrained
MPC in the performed STM32 microcontroller using interior point
method. Indeed, performances study shows good execution speed
and low computational burden. These results encourage to develop
predictive control algorithms to be programmed in industrial standard
processes. The PID anti windup controller was also implemented in
the STM32 in order to make a performance comparison with the
MPC. The main features of the proposed constrained MPC framework
are illustrated through two examples.
Abstract: In the present era of aviation technology, autonomous navigation and control have emerged as a prime area of active research. Owing to the tremendous developments in the field, autonomous controls have led today’s engineers to claim that future of aerospace vehicle is unmanned. Development of guidance and navigation algorithms for an unmanned aerial vehicle (UAV) is an extremely challenging task, which requires efforts to meet strict, and at times, conflicting goals of guidance and control. In this paper, aircraft altitude and heading controllers and an efficient algorithm for self-governing navigation using MATLAB® mapping toolbox is presented which also enables loitering of a fixed wing UAV over a specified area. For this purpose, a nonlinear mathematical model of a UAV is used. The nonlinear model is linearized around a stable trim point and decoupled for controller design. The linear controllers are tested on the nonlinear aircraft model and navigation algorithm is subsequently developed for for autonomous flight of the UAV. The results are presented for trajectory controllers and waypoint based navigation. Our investigation reveals that MATLAB® mapping toolbox can be exploited to successfully deliver an efficient algorithm for autonomous aerial navigation for a UAV.
Abstract: A series of microarray experiments produces observations
of differential expression for thousands of genes across multiple
conditions.
Principal component analysis(PCA) has been widely used in
multivariate data analysis to reduce the dimensionality of the data in
order to simplify subsequent analysis and allow for summarization of
the data in a parsimonious manner. PCA, which can be implemented
via a singular value decomposition(SVD), is useful for analysis of
microarray data.
For application of PCA using SVD we use the DNA microarray
data for the small round blue cell tumors(SRBCT) of childhood
by Khan et al.(2001). To decide the number of components which
account for sufficient amount of information we draw scree plot.
Biplot, a graphic display associated with PCA, reveals important
features that exhibit relationship between variables and also the
relationship of variables with observations.
Abstract: Embedded systems need to respect stringent real
time constraints. Various hardware components included in such
systems such as cache memories exhibit variability and therefore
affect execution time. Indeed, a cache memory access from an
embedded microprocessor might result in a cache hit where the
data is available or a cache miss and the data need to be fetched
with an additional delay from an external memory. It is therefore
highly desirable to predict future memory accesses during
execution in order to appropriately prefetch data without incurring
delays. In this paper, we evaluate the potential of several artificial
neural networks for the prediction of instruction memory
addresses. Neural network have the potential to tackle the nonlinear
behavior observed in memory accesses during program
execution and their demonstrated numerous hardware
implementation emphasize this choice over traditional forecasting
techniques for their inclusion in embedded systems. However,
embedded applications execute millions of instructions and
therefore millions of addresses to be predicted. This very
challenging problem of neural network based prediction of large
time series is approached in this paper by evaluating various neural
network architectures based on the recurrent neural network
paradigm with pre-processing based on the Self Organizing Map
(SOM) classification technique.
Abstract: In this note, we investigate the blind source separability of linear FIR-MIMO systems. The concept of semi-reversibility of a system is presented. It is shown that for a semi-reversible system, if the input signals belong to a binary alphabet, then the source data can be blindly separated. One sufficient condition for a system to be semi-reversible is obtained. It is also shown that the proposed criteria is weaker than that in the literature which requires that the channel matrix is irreducible/invertible or reversible.
Abstract: The purpose of this paper is to improve electromagnetic characteristics on grounding grid by applying the conductive concrete. The conductive concrete in this study is under an extra high voltage (EHV, 345kV) system located in a high-tech industrial park or science park. Instead of surrounding soil of grounding grid, the application of conductive concrete can reduce equipment damage and body damage caused by switching surges. The focus of the two cases on the EHV distribution system in a high-tech industrial park is presented to analyze four soil material styles. By comparing several soil material styles, the study results have shown that the conductive concrete can effectively reduce the negative damages caused by electromagnetic transient. The adoption of the style of grounding grid located 1.0 (m) underground and conductive concrete located from the ground surface to 1.25 (m) underground can obviously improve the electromagnetic characteristics so as to advance protective efficiency.