International Science Index
Numerical Experiments for the Purpose of Studying Space-Time Evolution of Various Forms of Pulse Signals in the Collisional Cold Plasma
The influence of inhomogeneities of plasma and statistical characteristics on the propagation of signal is very actual in wireless communication systems. While propagating in the media, the deformation and evaluation of the signal in time and space take place and on the receiver we get a deformed signal. The present article is dedicated to studying the space-time evolution of rectangular, sinusoidal, exponential and bi-exponential impulses via numerical experiment in the collisional, cold plasma. The presented method is not based on the Fourier-presentation of the signal. Analytically, we have received the general image depicting the space-time evolution of the radio impulse amplitude that gives an opportunity to analyze the concrete results in the case of primary impulse.
Identifying Common Behavioural Traits of Lone-Wolves in Recent Terrorist Attacks in Europe
This article attempts to analyse behavioural traits of
lone-wolves who struck and killed innocents in six different attacks
in Europe in last nine months. The main objective of this study is
to develop a profiling template in order to capture commonality of
characteristics of these attackers. This study tries to understand the
homogeneity of lone-wolves in terms of their social background and
state of mind. The commonality among them can possibly be used to
build a profiling template that could help detecting vulnerable persons
who are prone to be self-radicalised or radicalised by someone
else. The result of this study provides us an understanding of their
commonality in terms of their state of mind and social characteristics.
Equity Risk Premiums and Risk Free Rates in Modelling and Prediction of Financial Markets
This paper presents an adaptive framework for
modelling financial markets using equity risk premiums, risk free
rates and volatilities. The recorded economic factors are initially
used to train four adaptive filters for a certain limited period of time
in the past. Once the systems are trained, the adjusted coefficients
are used for modelling and prediction of an important financial
market index. Two different approaches based on least mean squares
(LMS) and recursive least squares (RLS) algorithms are investigated.
Performance analysis of each method in terms of the mean squared
error (MSE) is presented and the results are discussed. Computer
simulations carried out using recorded data show MSEs of 4% and
3.4% for the next month prediction using LMS and RLS adaptive
algorithms, respectively. In terms of twelve months prediction, RLS
method shows a better tendency estimation compared to the LMS
Four Positive Almost Periodic Solutions to an Impulsive Delayed Plankton Allelopathy System with Multiple Exploit (or Harvesting) Terms
In this paper, we obtain sufficient conditions for the
existence of at least four positive almost periodic solutions to an
impulsive delayed periodic plankton allelopathy system with multiple
exploited (or harvesting) terms. This result is obtained through the
use of Mawhins continuation theorem of coincidence degree theory
along with some properties relating to inequalities.
Fast High Voltage Solid State Switch Using Insulated Gate Bipolar Transistor for Discharge-Pumped Lasers
A novel method to produce a fast high voltage solid
states switch using Insulated Gate Bipolar Transistors (IGBTs) is
presented for discharge-pumped gas lasers. The IGBTs are connected
in series to achieve a high voltage rating. An avalanche transistor is
used as the gate driver. The fast pulse generated by the avalanche
transistor quickly charges the large input capacitance of the IGBT,
resulting in a switch out of a fast high-voltage pulse. The switching
characteristic of fast-high voltage solid state switch has been estimated
in the multi-stage series-connected IGBT with the applied voltage of
several tens of kV. Electrical circuit diagram and the mythology of
fast-high voltage solid state switch as well as experimental results
obtained are presented.
Bright–Dark Pulses in Nonlinear Polarisation Rotation Based Erbium-Doped Fiber Laser
We have experimentally demonstrated bright-dark
pulses in a nonlinear polarization rotation (NPR) based mode-locked
Erbium-doped fiber laser (EDFL) with a long cavity configuration.
Bright–dark pulses could be achieved when the laser works in the
passively mode-locking regime and the net group velocity dispersion
is quite anomalous. The EDFL starts to generate a bright pulse train
with degenerated dark pulse at the mode-locking threshold pump
power of 35.09 mW by manipulating the polarization states of the
laser oscillation modes using a polarization controller (PC). A split
bright–dark pulse is generated when further increasing the pump
power up to 37.95 mW. Stable bright pulses with no obvious
evidence of a dark pulse can also be generated when further adjusting
PC and increasing the pump power up to 52.19 mW. At higher pump
power of 54.96 mW, a new form of bright-dark pulse emission was
successfully identified with the repetition rate of 29 kHz. The bright
and dark pulses have a duration of 795.5 ns and 640 ns, respectively.
Optical Switching Based On Bragg Solitons in A Nonuniform Fiber Bragg Grating
In this paper, we consider the nonlinear pulse propagation through a nonuniform birefringent fiber Bragg grating (FBG) whose index modulation depth varies along the propagation direction. Here, the pulse propagation is governed by the nonlinear birefringent coupled mode (NLBCM) equations. To form the Bragg soliton outside the photonic bandgap (PBG), the NLBCM equations are reduced to the well known NLS type equation by multiple scale analysis. As we consider the pulse propagation in a nonuniform FBG, the pulse propagation outside the PBG is governed by inhomogeneous NLS (INLS) rather than NLS. We then discuss the formation of soliton in the FBG known as Bragg soliton whose central frequency lies outside but close to the PBG of the grating structure. Further, we discuss Bragg soliton compression due to a delicate balance between the SPM and the varying grating induced dispersion. In addition, Bragg soliton collision, Bragg soliton switching and possible logic gates have also been discussed.
Neural Network Evaluation of FRP Strengthened RC Buildings Subjected to Near-Fault Ground Motions having Fling Step
Recordings from recent earthquakes have provided evidence that ground motions in the near field of a rupturing fault differ from ordinary ground motions, as they can contain a large energy, or “directivity" pulse. This pulse can cause considerable damage during an earthquake, especially to structures with natural periods close to those of the pulse. Failures of modern engineered structures observed within the near-fault region in recent earthquakes have revealed the vulnerability of existing RC buildings against pulse-type ground motions. This may be due to the fact that these modern structures had been designed primarily using the design spectra of available standards, which have been developed using stochastic processes with relatively long duration that characterizes more distant ground motions. Many recently designed and constructed buildings may therefore require strengthening in order to perform well when subjected to near-fault ground motions. Fiber Reinforced Polymers are considered to be a viable alternative, due to their relatively easy and quick installation, low life cycle costs and zero maintenance requirements. The objective of this paper is to investigate the adequacy of Artificial Neural Networks (ANN) to determine the three dimensional dynamic response of FRP strengthened RC buildings under the near-fault ground motions. For this purpose, one ANN model is proposed to estimate the base shear force, base bending moments and roof displacement of buildings in two directions. A training set of 168 and a validation set of 21 buildings are produced from FEA analysis results of the dynamic response of RC buildings under the near-fault earthquakes. It is demonstrated that the neural network based approach is highly successful in determining the response.
Spiral Cuff for Fiber-Diameter Selective VNS
In this paper we present the modeling, design, and
experimental testing of a nerve cuff multi-electrode system for
diameter-selective vagus nerve stimulation.
The multi-electrode system contained ninety-nine platinum
electrodes embedded within a self-curling spiral silicone sheet. The
electrodes were organized in a matrix having nine parallel groups,
each containing eleven electrodes.
Preliminary testing of the nerve cuff was performed in an isolated
segment of a swinish left cervical vagus nerve. For selective vagus
nerve stimulation, precisely defined current quasitrapezoidal,
asymmetric and biphasic stimulating pulses were applied to
preselected locations along the left vagus segment via appointed
group of three electrodes within the cuff. Selective stimulation was
obtained by anodal block. However, these pulses may not be safe for
a long-term application because of a frequently used high imbalance
between the cathodic and anodic part of the stimulating pulse.
Preliminary results show that the cuff was capable of exciting A
and B-fibres, and, that for a certain range of parameters used in
stimulating pulses, the contribution of A-fibres to the CAP was
slightly reduced and the contribution of B-fibres was slightly larger.
Results also showed that measured CAPs are not greatly
influenced by the imbalance between a charge Qc injected in cathodic
and Qa in anodic phase of quasitrapezoidal, asymmetric and biphasic
Existence and Uniqueness of Periodic Solution for a Discrete-time SIR Epidemic Model with Time Delays and Impulses
In this paper, a discrete-time SIR epidemic model with nonlinear incidence rate, time delays and impulses is investigated. Sufficient conditions for the existence and uniqueness of periodic solutions are obtained by using contraction theorem and inequality techniques. An example is employed to illustrate our results.
Laser Excited Nuclear γ -Source of High Spectral Brightness
This paper considers various channels of gammaquantum
generation via an ultra-short high-power laser pulse
interaction with different targets.We analyse the possibilities to create
a pulsed gamma-radiation source using laser triggering of some
nuclear reactions and isomer targets. It is shown that sub-MeV
monochromatic short pulse of gamma-radiation can be obtained with
pulse energy of sub-mJ level from isomer target irradiated by intense
laser pulse. For nuclear reaction channel in light- atom materials, it is
shown that sub-PW laser pulse gives rise to formation about million
gamma-photons of multi-MeV energy.
Extended Deductive Databases with Uncertain Information
The paper presents an approach for handling uncertain
information in deductive databases using multivalued logics. Uncertainty
means that database facts may be assigned logical values other
than the conventional ones - true and false. The logical values represent
various degrees of truth, which may be combined and propagated
by applying the database rules. A corresponding multivalued database
semantics is defined. We show that it extends successful conventional
semantics as the well-founded semantics, and has a polynomial time