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Stability Control of EMS Maglev Train using New Lambda (λ) Tuning Approach of Single Input Fuzzy Logic using Gradient Descent Algorithm and Particle Swarm Optimization

Mustefa Jibril, Mesay Tadese, Nurye Hassen

Msc, School of Electrical & Computer Engineering, Dire Dawa Institute of Technology, Dire Dawa, Ethiopia

mustefa.jibril@ddu.edu.et

Abstract: Magnetically Levitated (Maglev) trains to change from traditional trains in that they are regenerated, oriented, and driven along a guided path using a variable magnetic field. This paper introduces a new approach to the development of SIFLC and GDA and PSO for the implementation of EMS Maglev Train displacement control. The Maglev train was modeled using the Mathematical modeling technique to mimic the displacement control system. The PID controller is modeled as the default controller. SIFLC was then modeled in three heuristic tuning methods. The real-time system model has been simulated using MATLAB and rise time (Tr), percentage overshoot (OS), and settling time (Ts) for the Maglev displacement and stability control have been compared and analyzed. The result shows that the SIFLC GDA output has an excellent effect on the specifications of 0.1021% (OS), 2.1332s (Tr), and 17.9790s (Ts).

[Mustefa Jibril, Mesay Tadese, Nurye Hassen. Stability Control of EMS Maglev Train using New Lambda   (λ) Tuning Approach of Single Input Fuzzy Logic using Gradient Descent Algorithm and Particle Swarm Optimization Swarm Optimization. Rep Opinion 2022;14(1):1-9]. ISSN 1553-9873 (print); ISSN 2375-7205  (online). http://www.sciencepub.net/report. 1. doi:10.7537/marsroj140122.01.

Keywords: Magnetically Levitated train, Single Input Fuzzy Logic Control, Gradient Descent Algorithm, Particle Swarm Optimization, Proportional integral derivative

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Potential of halotolerant PSB in enhancing availability of P from poultry manure (PM) and farmyard manure (FYM) to alleviate salt stress in maize crop

Muhammad Ubair Arif¹, Muhammad Abdullah Zain¹, Ammara Tanveer^2*, Rimsha Ishaq^3*

¹Institute of Soil and Environmental Sciences, University of Agriculture, Faisalabad, Pakistan.

²Department of Agronomy, University of Agriculture, Faisalabad, Pakistan.

³Institute of Molecular Biology & Biotechnology, Bahauddin Zakariya university, Multan

*Corresponding author’s email: ammaratanveer2258@gmail.com; rimshahbutt04@gmail.com

Abstract: Halotolerant phosphorus solubilizing bacteria have a potential to enhance the growth and survival of maize under saline soil by following various mechanisms. The growth increment in maize plant in response to the inoculation of halotolerant PSB was observed in a pot study that was conducted in the rain protected glass house of ISES, University of Agriculture, Faisalabad. Different organic matter source in combination with PSB were used in this study and salt stress @7dSm^-1 were applied. The experiment was completely randomized design (CRD) having three replications. The fertilizer dose and water were applied as recommended. Shoot dry weight of maize plants were increased by 27% and 32% with combine application of PSB and organic manures over uninoculated and amended control. However, salinity stress @7dSm^-1 decrease shoots dry weight by 19% as compared to the control. A non-significant increase in the shoot dry weight was observed with the combine application of PSB with organic manure in saline soil as compare to the control. Root dry weight of maize plants were increased by 26.2% and 27.9% with combine application of PSB and organic manures over uninoculated and amended control. However, salinity stress @7dSm^-1 decrease roots dry weight by 11.3% as compared to the control. A significant increase in the root dry weight was observed with the combine application of PSB with organic manure in saline soil as compare to the control. Data shows that K⁺ concentration in soil increased by 1.5%, 4.7%, 6.9%, 11.1% and 11.8% respectively, in treatment having sole application of organic manures (PM and FYM), PSB and inoculation of PSB with organic manure in normal soil, as compare to control. Salinity stress reduced the 1.6% K⁺ availability compare to control. However, the inoculation of PSB with organic manure help in mitigation of salinity stress and increase K⁺ concentration 1.9% and 1.6% compare to salinity stress alone. Data shows that sole application of organic manures (PM and FYM), PSB and inoculation of PSB with organic manure in normal soil, increase the K⁺ concentration in shoot of maize by 15.45%, 16.21%, 26%, 27% and 33% respectively, as compare to control. Salinity stress reduced the 20% K⁺ concentration in maize compare to control. However, the inoculation of PSB with organic manure help in mitigation of salinity stress and increase K⁺ concentration 19.5% in maize compare to salinity stress alone.

[Muhammad Ubair Arif, Muhammad Abdullah Zain, Ammara Tanveer, Rimsha Rehmat. Potential of halotolerant PSB in enhancing availability of P from poultry manure (PM) and farmyard manure (FYM) to alleviate salt stress in maize crop. Rep Opinion 2022;14(01):10-19].ISSN1553-9873(print);ISSN2375-7205 (online).http://www.sciencepub.net/report. 2.doi:10.7537/marsroj140122.02.

Key words: Halotolerant, poultry manure (PM), salinity, maize

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3D visualization of the results of using modern OFA technology on the example of real boiler

Mustefa JIBRIL

School of Electrical & Computer Engineering, Dire Dawa Institute of Technology, Dire Dawa, Ethiopia

mustefa.jibril@ddu.edu.et

Abstract: The leading place in the world for environmental protection is currently occupied by the protection of the air basin. And the main sources of atmospheric pollution are industrial enterprises, motor transport and thermal power plants. Thus, there is an obvious need to increase attention to the problems of the innovation sector, mainly in the areas of technical improvement of heat and power industry enterprises. Therefore, the study of the problems of reducing the amount of harmful emissions into the atmosphere, control and regulation of its quality, as well as the study of new various methods of innovative development of thermal power is an urgent task at present, requiring a serious scientific approach. In the proposed work, computer experiments were carried out in the field of innovative energy production technologies (the use of modern "sharp blast" OFA technology) at a specific thermal power facility of the enterprise of the Republic of Kazakhstan. During the experiment, various ways of supplying additional air through OFA nozzles were investigated: OFA=0% (basic version without additional air supply), OFA=10% and OFA=18%. For these three modes, a comparative analysis of the aerodynamics of the furnace part of the boiler was performed according to the obtained distributions of the temperature and concentration fields of nitrogen oxide NO over the entire volume of the combustion chamber. The results obtained were compared with experimental data obtained during experiments conducted directly at the CHP.

[Mustefa JIBRIL. 3D visualization of the results of using modern OFA technology on the example of real boiler. Rep Opinion 2022;14(01): 20-26]. ISSN 1553-9873 (print);ISSN 2375-7205 (online). http://www.sciencepub.net/report. 3. doi:10.7537/marsroj140122.03.

Keywords: Coal combustion, emission, modelling, NOx, OFA technology, 3D visualization

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Life Evaluation and Optimization Technology of Wind Turbine Generator Based on Big Data

Mustefa JIBRIL

School of Electrical & Computer Engineering, Dire Dawa Institute of Technology, Dire Dawa, Ethiopia

mustefa.jibril@ddu.edu.et

Abstract Although the global wind energy industry has made considerable progress in recent years, the complex systems and harsh working conditions of wind turbines have led to frequent failures. Therefore, how to use the operating unit operation and maintenance data to conduct overall research on the status of wind turbines, wind farm evaluation, intelligent operation and maintenance technology promotion, and optimizing operation and maintenance strategies are important issues that need to be resolved for the sound development of wind turbines. This paper studies wind turbine life assessment and optimization technology, and understands the relevant knowledge and theory of wind turbines based on literature data, and then designs the life assessment of wind turbines based on big data, and uses examples for experimental verification. The effectiveness of the proposed predictive algorithm is derived from experimental results, taking into account the duration of catastrophic failures. If the bearing runs for 34 days, the actual remaining life of the bearing is 0.2 days, the remaining life predicted by LRM is 0.8 days, and the remaining life provided by ILRM is 0.31 days. Therefore, compared with LRM, the prediction accuracy of ILRM is significantly improved.

[Mustefa JIBRIL. Life Evaluation and Optimization Technology of Wind Turbine Generator Based on Big Data. Rep Opinion 2022;14(01):27-34]. ISSN 1553-9873 (print); ISSN 2375-7205 (online). http://www.sciencepub.net/report. 4.doi:10.7537/marsroj14022.04.

Keywords: Big Data, Wind Power Generation, Life Evaluation, Optimized Operation

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Study On Parameters Related To Class 1 Of Matrices

*Annu Rani and **Dr. Rajeev Kumar

*Research Scholar, Department of Mathematics, SunRise University, Alwar, Rajasthan (India)

**Associate Professor, Department of Mathematics, SunRise University, Alwar, Rajasthan (India)

Email: puniajit50@gmail.com

Abstract: We represent each column of a certain matrix (order m× n) in a well defined pattern of a n^th degree polynomial in a single variable; say x. This, in turn can help determine each column as being a m^th degree curve for each column. This particular convention casts the specified matrix of order N × n matrix as a set of n curves each of order N in a single adjustable. We determine that the square matrices could be classified according to several unique properties; right here it's the amount of each column entry. This particular amount - known as the Libra worth, plays a crucial role and remains at par in connection to the algebraic properties of its. Additional distinction is completed on introducing the attributes connected to algebraic sum to row entries. As we go on introducing the' sum property, generally called Libra value', we get narrow down but get much better refinement and hence better convergence to the ultimate goal of ours of commutativity.

[Annu Rani and  Dr. Rajeev Kumar. Study On Parameters Related To Class 1 Of Matrices . Rep Opinion 2022;14(1):35-42]. ISSN 1553-9873 (print); ISSN 2375-7205 (online). http://www.sciencepub.net/report. 5. doi:10.7537/marsroj140122.05.

Keywords: Parameters, Concetroidal matrices, Class 1, Related

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Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) complete genome

Dr. Mark Herbert

World Development Institute

39 Main Street, Flushing, Queens, New York 11354, USA, ma708090@gmail.com

Abstract: Coronavirus disease 2019 (COVID-19) is a contagious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The first known case was identified in December 2019. The disease has since spread worldwide, leading to an ongoing pandemic. Symptoms of COVID-19 are variable, but often include fever, cough, headache, fatigue, breathing difficulties, and loss of smell and taste. Symptoms begin 1 - 14 days after exposure to the coronavirus. The standard diagnostic method is by detection of the virus' nucleic acid by real-time reverse transcription polymerase chain reaction (rRT-PCR), transcription-mediated amplification (TMA), or by reverse transcription loop-mediated isothermal amplification (RT-LAMP) from a nasopharyngeal swab. (https://en.wikipedia.org/wiki/COVID-19). Upto 12/1/2021 in USA, Total Cases are 48,377,531, Total accines Administered are 460,773,508, Total Deaths 778,489 (https://www.cdc.gov/coronavirus/2019-ncov/index.html). Here gives the gives SARS-CoV-2 complete genome sequenced by China in 1/13/2020, as a reference for readers (https://www.ncbi.nlm.nih.gov/nuccore/MN908947.3).

[Mark Herbert. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) complete genome. Rep Opinion 2022;14(1):43-119]. ISSN 1553-9873 (print); ISSN 2375-7205 (online). http://www.sciencepub.net/report. 6. doi:10.7537/marsroj140122.06.

Key words: COVID-19; SARS-CoV-2; genome; sequence; life; research; literature; cell

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