The Sense of Exile and Abandonment In William Trevors Novel, Felicias Journey

During their early times the women have experienced both cultural and social discriminations These bad omens step by step have provided the traumatic sense for the women either to deny themselves or to have the sense of not integrating with others Moreover if they decide to integrate they are retarded by the society William Trevor s novel Felicia s journey expatiates on the life of young Irish girl who has been entrapped in a bad social condition which the life of enjoyment has been circumscribed by the environmental hostilities Furthermore her lack of having a good mother adds more to this bitter condition that she has no sense of belongings Thus drawing on the reading of self-exile the novel which is discussed in this article goes on to explore the marginalization of the Irish woman with her people around and more importantly within Irish and English societ

A comparative study of different optimization methods for resonance half-bridge converter

The LLC resonance half-bridge converter is one of the most popular DC-DC converters and could easily inspire researchers to design a high-efficiency and high-power-density converter. LLC resonance converters have diverse operation modes based on switching frequency and load that cause designing and optimizing procedure to vary in different modes. In this paper, different operation modes of the LLC half-bridge converter that investigate different optimization procedures are introduced. The results of applying some usual optimization methods implies that for each operation mode some specific methods are more appropriate to achieve high efficiency. To verify the results of each optimization, numerous simulations are done by Pspice and MATLAB and the efficiencies are calculated to compare them. Finally, to verify the result of optimization, the experimental results of a laboratory prototype are provided.Peer ReviewedPostprint (published version

Improving Distributed Gradient Descent Using Reed-Solomon Codes

Today's massively-sized datasets have made it necessary to often perform computations on them in a distributed manner. In principle, a computational task is divided into subtasks which are distributed over a cluster operated by a taskmaster. One issue faced in practice is the delay incurred due to the presence of slow machines, known as \emph{stragglers}. Several schemes, including those based on replication, have been proposed in the literature to mitigate the effects of stragglers and more recently, those inspired by coding theory have begun to gain traction. In this work, we consider a distributed gradient descent setting suitable for a wide class of machine learning problems. We adapt the framework of Tandon et al. (arXiv:1612.03301) and present a deterministic scheme that, for a prescribed per-machine computational effort, recovers the gradient from the least number of machines $f$ theoretically permissible, via an $O(f^2)$ decoding algorithm. We also provide a theoretical delay model which can be used to minimize the expected waiting time per computation by optimally choosing the parameters of the scheme. Finally, we supplement our theoretical findings with numerical results that demonstrate the efficacy of the method and its advantages over competing schemes

The Effect of Corporate Governance and Audit Quality on Disclosure Quality: Evidence from Tehran Stock Exchange

The current study examines the effect of audit quality and internal and external corporate governance on the quality of disclosure of financial statements. In order to achieving the objectives of the study 7 hypotheses about audit quality and 7 hypotheses about internal and external corporate governance are postulated in the current study during 2009-2014 in Iran. Data analyzed in two regression models via the R software. The results indicate that there is no significant positive relationship between independent audit quality and the quality of disclosure of financial statements information, but there is a significant relationship between corporate governance and the quality of disclosure of financial statements information. So far, the current study is the first paper on the subject which conducted in the developing country such like Iran, the results of the study may give the strength to the auditing literature

Cellular Underwater Wireless Optical CDMA Network: Potentials and Challenges

Underwater wireless optical communications is an emerging solution to the expanding demand for broadband links in oceans and seas. In this paper, a cellular underwater wireless optical code division multiple-access (UW-OCDMA) network is proposed to provide broadband links for commercial and military applications. The optical orthogonal codes (OOC) are employed as signature codes of underwater mobile users. Fundamental key aspects of the network such as its backhaul architecture, its potential applications and its design challenges are presented. In particular, the proposed network is used as infrastructure of centralized, decentralized and relay-assisted underwater sensor networks for high-speed real-time monitoring. Furthermore, a promising underwater localization and positioning scheme based on this cellular network is presented. Finally, probable design challenges such as cell edge coverage, blockage avoidance, power control and increasing the network capacity are addressed.Comment: 11 pages, 10 figure

A novel high step-up secondary side impedance source full-bridge converter

In order to suppress the voltage stress of semiconductor devices, and solve the reverse recovery problem of diodes by decreasing the duty cycle of switches, impedance source converters could be consider as a solution. In this paper an impedance network is applied to the secondary side of a phase-shifted full-bridge converter in order to reduce the voltage stress of rectifier diodes. The proposed impedance network involves coupled inductors and capacitors that provide a new rectifier configuration for the converter. Operational principles of the proposed converter along with its theoretical analysis is investigated, and finally simulation results is provided by Pspice to verify the performance of the converter.Postprint (published version

Component sizing of an isolated networked hybrid microgrid based on operating reserve analysis

The power-sharing possibility amongst microgrids (MGs) in networked microgrids (NMGs) offers multiple profits to the NMG by employing an applicable energy management system. An efficient energy management system can provide an adequate compromise in terms of the component sizing of NMGs through MG collaboration. This paper proposes a procedure to size the component for an isolated networked hybrid microgrid. The proposed design procedure relies on the optimum operation of individual MGs. The defined Reduced Factor (RF) identifies the possible size reduction for the dispatchable components, such as diesel generators and the energy storage system of each MG. The introduced RF is based on the operating reserve evaluation obtained from the optimal operation of individual MGs and the correlation between load profiles. Eventually, the simulation and practical results of a networked hybrid MG consisting of three MGs are presented to verify the proposed component sizing procedure. The practical results verify the theoretical expectations. The results show that NPC and capital costs are reduced up to 13% and 17%, respectively.The authors would like to thank the Spanish Ministerio de Ciencia, Innovación y Universidades (MICINN)—Agencia Estatal de Investigación (AEI) and the European Regional Development Funds (ERDF) by grant PGC2018-098946-B-I00 funded by MCIN/AEI/10.13039/501100011033/ and by ERDF A way of making Europe.Peer ReviewedPostprint (published version

Networked microgrid energy management based on supervised and unsupervised learning clustering

Networked microgrid (NMG) is a novel conceptual paradigm that can bring multiple advantages to the distributed system. Increasing renewable energy utilization, reliability and efficiency of system operation and flexibility of energy sharing amongst several microgrids (MGs) are some specific privileges of NMG. In this paper, residential MGs, commercial MGs, and industrial MGs are considered as a community of NMG. The loads’ profiles are split into multiple sections to evaluate the maximum load demand (MLD). Based on the optimal operation of each MG, the operating reserve (OR) of the MGs is calculated for each section. Then, the self-organizing map as a supervised and a k-means algorithm as an unsupervised learning clustering method is utilized to cluster the MGs and effective energy-sharing. The clustering is based on the maximum load demand of MGs and the operating reserve of dispatchable energy sources, and the goal is to provide a more efficient system with high reliability. Eventually, the performance of this energy management and its benefits to the whole system is surveyed effectively. The proposed energy management system offers a more reliable system due to the possibility of reserved energy for MGs in case of power outage variation or shortage of power.Peer ReviewedPostprint (published version

A Comprehensive Review of Control Strategies and Optimization Methods for Individual and Community Microgrids

© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Community Microgrid offers effective energy harvesting from distributed energy resources and efficient energy consumption by employing an energy management system (EMS). Therefore, the collaborative microgrids are essentially required to apply an EMS, underlying an operative control strategy in order to provide an efficient system. An EMS is apt to optimize the operation of microgrids from several points of view. Optimal production planning, optimal demand-side management, fuel and emission constraints, the revenue of trading spinning and non-spinning reserve capacity can effectively be managed by EMS. Consequently, the importance of optimization is explicit in microgrid applications. In this paper, the most common control strategies in the microgrid community with potential pros and cons are analyzed. Moreover, a comprehensive review of single objective and multi-objective optimization methods is performed by considering the practical and technical constraints, uncertainty, and intermittency of renewable energies sources. The Pareto-optimal solution as the most popular multi-objective optimization approach is investigated for the advanced optimization algorithms. Eventually, feature selection and neural network-based clustering algorithms in order to analyze the Pareto-optimal set are introduced.This work was supported by the Spanish Ministerio de Ciencia, Innovación y Universidades (MICINN)–Agencia Estatal de Investigación (AEI), and by the European Regional Development Funds (ERDF), a way of making Europe, under Grant PGC2018-098946-B-I00 funded by MCIN/AEI/10.13039/501100011033/.Peer ReviewedPostprint (published version

Inverter control analysis in a microgrid community based on droop control strategy

Power-sharing in a microgrid community (MGC) requires mandatory strategies in order to stabilize the system by maintaining the rated frequency and voltage. The hierarchical control strategy is the most adopted control structure due to providing seamless operation in transient between islanded and grid-connected modes. Droop control strategy is discussed in this paper to control the voltage source inverter (VSI) in power exchange mode with other microgrids (MGs) or main utility grid. After analysing the average model of three-phase VSI, the voltage and current transfer functions are obtained according to the considered droop controller. The stability and seamless operation of the system are analysed, and the simulation results verify the control loops of the VSI can handle the power variation of the MG effectively.This work has been partially supported by the Spanish Ministerio de Ciencia, Innovación y Universidades (MICINN)-Agencia Estatal de Investigación (AEI) and the European Regional Development Funds (FEDER), by project PGC2018-098946-B-I00.Peer ReviewedPostprint (published version