2,586 research outputs found
Design and simulation of solar grid-connected charger for electric vehicles
© 2018 IEEE. Electric Vehicles (EV) are playing major role in decreasing carbon emissions. The major problem so far with the Electric Vehicles are overloading the Distribution Grids and availability of enough charging stations. The main objective of this research is to design and install a solar powered charging station for EVs in the UAE environment. This research aims to focus on the need for the shifting from the traditional gas and petrol vehicles to Electric vehicles in the UAE. Additionally, the project intends to ease the problem of the additional load that these EVs impose on the grid by powering the charging station from solar energy. This will help evolve the existing transport system of the UAE into a cleaner and greener system. The project is divided mainly into three important parts. First of all, the system components are designed to match with the ratings of available most common EVs. Then the system has been modelled in DIgSILENT Power factory for the simulation and validation of design. Finally, the results from calculations and simulations are described and compared
On the BER of Multiple-Input Multiple-Output Underwater Wireless Optical Communication Systems
In this paper we analyze and investigate the bit error rate (BER) performance
of multiple-input multiple-output underwater wireless optical communication
(MIMO-UWOC) systems. In addition to exact BER expressions, we also obtain an
upper bound on the system BER. To effectively estimate the BER expressions, we
use Gauss-Hermite quadrature formula as well as approximation to the sum of
log-normal random variables. We confirm the accuracy of our analytical
expressions by evaluating the BER through photon-counting approach. Our
simulation results show that MIMO technique can mitigate the channel
turbulence-induced fading and consequently, can partially extend the viable
communication range, especially for channels with stronger turbulence
The participation of women in multidisciplinary action teams
This paper argues the case for increasing the participation of women in multidisciplinary action teams as a means for making better use of gender diversity. We argue that conventional diversity management practices involve a narrow approach towards increasing women’s participation in employment. We suggest it is imperative that organisations and multidisciplinary action teams learn to integrate skilled and talented women and men into a single, cohesive work culture that enhances teams’ performing capacities. Based on recent work by the authors, we then build on the belief that women are a key resource for improving the integrative and interpretive abilities of teams, including the capacity of the team generally to deal with difficult and complex scenarios. The paper builds a relationship between feminine values, team-member diversity, and communication skills such as listening and speaking up. In particular, we examine some evidence relating to the communication patterns of women and how they may assist multi-disciplinary action teams.diversity management; feminine values; teams; women
Observations through gendered lenses: experiences of managerial women
This paper explores how gendered contexts within and around Australian organisations over a 12-year period restrict and place boundaries around women's managerial aspirations. The study finds that three types of gendered lenses typically depict various systems of oppression: mono-cultural, statistical, and structural. The discussion explores the relationships between each type noting that particular characteristics work to reinforce and interlink each to the other. The network effects are discussed and different coping strategies employed by women in management outlined over the period. A number of metaphors appropriately capture the essence of gender struggles and inequality over the three stages of the study: early (1995-1998), transition (1999-2002), and emergent (2003-2006).bounded networks; contexts; gender; management; metaphors
MIMO Underwater Visible Light Communications: Comprehensive Channel Study, Performance Analysis, and Multiple-Symbol Detection
In this paper, we analytically study the bit error rate (BER) performance of
underwater visible light communication (UVLC) systems with binary pulse
position modulation (BPPM). We simulate the channel fading-free impulse
response (FFIR) based on Monte Carlo numerical method to take into account the
absorption and scattering effects. Additionally, to characterize turbulence
effects, we multiply the aforementioned FFIR by a fading coefficient which for
weak oceanic turbulence can be modeled as a lognormal random variable (RV).
Moreover, to mitigate turbulence effects, we employ multiple transmitters
and/or receivers, i.e., spatial diversity technique over UVLC links.
Closed-form expressions for the system BER are provided, when equal gain
combiner (EGC) is employed at the receiver side, thanks to Gauss-Hermite
quadrature formula and approximation to the sum of lognormal RVs. We further
apply saddle-point approximation, an accurate photon-counting-based method, to
evaluate the system BER in the presence of shot noise. Both laser-based
collimated and light emitting diode (LED)-based diffusive links are
investigated. Since multiple-scattering effect of UVLC channels on the
propagating photons causes considerable inter-symbol interference (ISI),
especially for diffusive channels, we also obtain the optimum multiple-symbol
detection (MSD) algorithm to significantly alleviate ISI effects and improve
the system performance. Our numerical analysis indicates good matches between
the analytical and photon-counting results implying the negligibility of
signal-dependent shot noise, and also between analytical results and numerical
simulations confirming the accuracy of our derived closed-form expressions for
the system BER. Besides, our results show that spatial diversity significantly
mitigates fading impairments while MSD considerably alleviates ISI
deteriorations
The Multigeneic _Rhg1_ Locus: A Model For The Effects on Root Development, Nematode Resistance and Recombination Suppression.
Soybean (Glycine max L. Merr.) resistance to populations (HgType) of _Heterodera glycines I._, the soybean cyst nematode (SCN), requires a functional allele at rhg1. An apoptosis-like response in the giant cells formed around the nematode results 24-48 h after feeding commences. This study aimed to identify the role of the three genes within the rhg1 locus, a receptor like kinase (RLK), a laccase and an ion anti-porter. Used were near isogeneic lines (NILs) that contrasted at their rhg1 alleles. Features of the rhg1 locus, the candidate genes and their nascent transcripts and proteins in roots were elucidated. First, evidence for a syntenic gene cluster was found and the effectiveness of SNP probes for distinguishing the homeolog sequence variant on linkage group (Lg) B1 from alleles at the rhg1 locus on Lg G was shown. Analysis of plant s heterozygous at rhg1 showed that the allele for resistance was dominant. The absence of recombination events among the NILs between the RLK and other 2 genes eliminated the possibility of a monogeneic rhg1 locus. Finally, an effect on root development was discovered. A model for multigeneic resistance based on developmental control of root growth including a mechanism for segregation distortion is presented
Chromatic Dispersion Compensation Using Filter Bank Based Complex-Valued All-Pass Filter
A long-haul transmission of 100 Gb/s without optical chromatic-dispersion
(CD) compensation provides a range of benefits regarding cost effectiveness,
power budget, and nonlinearity tolerance. The channel memory is largely
dominated by CD in this case with an intersymbol-interference spread of more
than 100 symbol durations. In this paper, we propose CD equalization technique
based on nonmaximally decimated discrete Fourier transform (NMDFT) filter bank
(FB) with non-trivial prototype filter and complex-valued infinite impulse
response (IIR) all-pass filter per sub-band. The design of the sub-band IIR
all-pass filter is based on minimizing the mean square error (MSE) in group
delay and phase cost functions in an optimization framework. Necessary
conditions are derived and incorporated in a multi-step and multi-band
optimization framework to ensure the stability of the resulting IIR filter. It
is shown that the complexity of the proposed method grows logarithmically with
the channel memory, therefore, larger CD values can be tolerated with our
approach
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