94 research outputs found
Voltage Quality Analysis using Dynamic Voltage Restorer Based on Non-Linear Control Algorithms
No full textThe power quality of the electrical supply system has been impacted by the increase in non-linear loads and renewable energy sources such as the solar and the wind power integrated into the grid. The poor power quality results in equipment damage, system shutdown, and data loss, leading to lower operational efficiency and higher maintenance costs. The voltage sag, voltage swell, voltage flicker and voltage harmonic distortions are the most common and severe issues. The dynamic voltage restorer is the most effective solution for these voltage quality problems, which injects necessary voltage levels at the time of faults in order to maintain the load side voltage within specified boundaries. The appropriate control technique should be adopted for the generation of firing pulses for power electronic switches used to construct this device. The classical sliding mode control has the disadvantage of taking a long time to minimize errors. The main objective of this paper is to improve the accuracy and durability the conventional algorithm by adding nonlinear quantity, resulting in the fast terminal sliding mode controller. Furthermore, the artificial neural network is combined with proposed methodology to improve performance of double feeder power system for nonlinear load conditions. The system is modeled and simulated in a MATLAB/Simulink environment with a proportional integral controller optimized by particle swarm optimization, genetic algorithm and mind blast algorithm followed by non-linear controllers. The faults are simulated to mimic voltage sags A, E and B with different load conditions like linear, dynamic and non-linear. The power quality indices like total harmonic distortion, harmonic compensation ratio, sag score and voltage sag lost energy index are considered for assessment of compensation percentage. It is observed that Sag Score is improved by 80% thus increasing voltage sag lost energy index to more than 95%. Therefore, quantitative data demonstrate the efficacy of the proposed method in mitigating voltage sag while simultaneously reducing grid voltage imbalance and distortion, irrespective of the fault type
Enabling Data Marketplaces with Multi-Party Computation (MPC): An Exploratory Study investigating the Implication of the Maturation of Multi-Party Computation (MPC) technology to the Architecture and the Threat Landscape of the Data Marketplaces
No full textThe emergence of the Data Marketplaces is the latest iteration in the phenomenon of data-driven transformation of the world. Data marketplaces have emerged as a new form of data-driven business models which enable trading of data between the data owners/providers and data consumers by providing the necessary technological and non-technological infrastructure. These features present an alternative to the cumbersome logistics currently involved in searching, buying and selling data; thus, simplify the data supply chains between the data-driven business entities. However, they suffer to take off into mainstream success because of a myriad of reasons. Of all the reasons, 2 of them are focused in this thesis. Firstly, the difficulty involved in architecturally enabling a data marketplace platform as the prospective enabling technologies are still immature. Secondly, the uncertainty associated with the commodification of data which comprises of the intellectual property enforcement of data (data ownership), privacy and confidentiality breach (threats), regulatory ignorance (implication of GDPR), reluctance of businesses from participating because of the previous reasons et cetera. This reason is collectively referred as due to the uncertainty around the threat landscape of the data marketplaces. Multi-Party Computation (MPC) technology provide a solution to these problems. Through its capabilities to preserve the confidentiality of data architecturally and thereby securing the interests of the data actors with respect to the uncertainty of the threat landscape around data, MPC can enable safe and secure data sharing between data actors. This characteristic of MPC can help data marketplaces to overcome their challenges and foster their realisation. However, since MPC cannot handle the scale of real-life application, it is not mature enough yet to be incorporated into real-life data marketplaces. An EU funded project called SafeDEED: Safe Data-Enabled Economic Development, proposes to overcome the scalability issue and intends to achieve the maturation of MPC for real-life application. Building upon this forecast, a research was conducted to investigate the implication of the maturation of MPC technology towards the 2 problems faced by data marketplaces, architectural and threat landscape; and the same is documented in this thesis.Safe-DEEDManagement of Technology (MoT
Novel Concepts in Cardiac Energy Metabolism: From Biology to Disease
No full textThis eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contac
A Study on Mortality among Admitted Cases of Acute Peritonitis at a Tertiary Care Hospital
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Gamma-ray, fast neutron and ion shielding characteristics of low-density and high-entropy Mg–Al–Ti–V–Cr–Fe–Zr–Nb alloy systems using Phy-X/PSD and SRIM programs
No full textThis study aimed to assess the radiation shielding properties of ten low-density high-entropy alloys (LWHEAs) using Phy-X/PSD software to analyze various shielding parameters, such as attenuation coefficients (μm and μ), mean free path (λ), effective atomic number (Zeff), and removal cross-section (ΣR), in the energy range of Image 1 to Image 2. A comprehensive evaluation was performed to compare the attenuation outcomes provided by HEAs with a range of shielding materials documented in the literature. The study also calculated the build-up factors (BUFs) of the alloys by using the GP-fitting interpolation method. The stopping power of the alloys against H1/He+2 ions was analyzed using the SRIM Monte Carlo code, considering total stopping power (TSP) and projected range (PR). The results indicated that HEA8 (Al3.88Cr14.95Mo27.58Nb26.71Ti13.76Zr13.11) had the best performance in terms of shielding against γ-rays, fast neutrons, and H1/He+2 ions, as it achieved the highest values of parameters such as μm, μ, Zeff, and ΣR, along with the lowest values of HVL, TVL, λ, BUFs (Image 3Image 4), TSP, and PR. On the other hand, HEA10 (Mg10.77Al11.96Mn24.35Fe24.75Cu28.17) had the lowest BUFs in both lower (Image 5Image 4) and higher (Image 6Image 4) energy regions. The order of μm for the alloys was found to be HEA5<HEA6<HEA9<HEA7<HEA10<HEA4<HEA2<HEA3<HEA1<HEA8. The study concluded that LWHEAs possess superior radiation shielding properties compared to conventional materials, making them a promising new class of materials for radiation shielding applications
Chemical Stablilisation of Sand : Part VIII Furan Resins as Dune and Coastal Sand Stabiliser
No full textStudies on furan resin as dune sand stabiliser are presented. Influence of acid catalysts, viz. phenol disulphonic acid, sulphuric acid, hydrochloric acid and phosphoric acid and other catalysts, viz. trichlorotoluene and benzoyl chloride along with promoters, zinc chloride and ferric chloride, on the strength of stabilised furan resin-sand specimens has been discussed. Optimisation studies on resin content, catalysts and promoters and curing conditions have revealed that maximum strength of 260 kg/cm/sup 2/ of the standard specimens made by compaction of coastal sand using furan resins (10 per cent), sulphuric acid (9N, 30 per cent) and a curing time of 2 hr at 40 degree Centigrade is higher than the 170 kg/cm/sup 2/ of specimens made of Rajasthan desert sand. Sandy patches stabilised by seepage technique recorded a maximum strength of 125 kg/cm/sup 2/. Physico-chemical characteristics of this system and effect of environment on stabilised specimens have also been studied and field trials conducted successfully. This resin-catalyst system would be extremely useful in humid and saline field (coastal) areas for different military applications
Extended trial of transcranial magnetic stimulation in a case of treatment-resistant obsessive–compulsive disorder
No full textComprehensibility of Translated Informed Consent Documents Used in Clinical Research in Psychiatry
No full textExtended Course of Repetitive Trans-Cranial Magnetic Stimulation Therapy and a Complicated Case of Obsessive-Compulsive Disorder
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