Energy efficiency in electrical power systems has emerge a paramount issue in latest years due to the increasing worldwide demand for electrical power and the developing environmental awareness. This journal explores the multifaceted demanding situations and possibilities in optimizing energy efficiency in electrical power systems. It delves into the crucial areas of generation, transmission, distribution, and consumption, providing a comprehensive evaluation of the different factors and technology which can contribute to improved energy efficiency. The journal discusses cutting-edge strategies, including advanced grid management techniques, renewable energy integration, and demand-side management, to enhance the sustainability and resilience of power systems. It also highlights the position of emerging technologies such as smart grids, energy storage systems, and data analytics in optimizing energy usage and reducing losses. Furthermore, this journal provides insights into the economic, environmental, and social implications of energy efficiency initiatives within the power sector. It explores policy frameworks, regulatory measures, and enterprise collaborations geared toward fostering a transition in the direction of more energy-efficient electrical power systems.
- Oparanwata Chidi Cosmas Electrical and Electronic Engineering Department, PTI, Effurun
References
1. Braide, Sepiribo & S., Okorie & Idoniboyeobu, Dikio. (2021). Optimization of Energy Efficiency for Electric Power Distribution System Losses. 2. Alabdul Salam M. et al. Optimal sizing of photovoltaic systems using HOMER for Sohar, Oman. International Journal of Renewable Energy Research. 2013; 3(2):301 –307 3. Ueckerdt F., Hirth L., Luderer G., and Edenhofer O. System LCOE: What are the Costs of Variable Renewables. Postdam – Institute for Climate Impact Research. Germany. 2013. 4. Fraunhofer Institute for Solar Energy System (ISE). Levelized Cost of Electricity Renewable Energy Technologies. November 2013 5. National Renewable Energy Laboratory. Energy Efficiency and Renewable Energy, USA, 2008. 6. Okedu, Kenneth & Roland, Uhunmwangho & Bassey, Ngang & Azubuike, Richard. (2015). Optimization of Hybrid Energy Efficiency in Electrical Power System Design. 10.5772/59017. 7. Paola Pezzini, Oriol Gomis-Bellmunt, Antoni Sudrià-Andreu, Optimization techniques to improve energy efficiency in power systems, Renewable and Sustainable Energy Reviews, Volume 15, Issue 4, 2011, Std. 802.11, 1997.
Oparanwata Chidi Cosmas, "Optimizing Energy Efficiency in Electrical Power Systems" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.12 issue 11, November 2023, pp.01-07 URL: https://doi.org/10.51583/IJLTEMAS.2023.121101
The prostration of policy makersfor the compulsory inclusion and retaining of greens in neighbourhoods and urban hemisphere generallydeclines the mitigation ofdissimilar environmental calamities. This paper x-rayed urban green parapets and environmental appearance of Port Harcourt Nigeria through the adoption of inferential and non-inferential survey strategies. The primary data was acquired through5 likertpoints designed questionnaire that sampled 350 households while circulated materials acquired within the secondary research circumference emanated from text-books, undergraduate and post graduate research work, conference/seminar, working papers, official records and other academic reports. The analysis employed mean value (MV), spearman’s correlation coefficient and chi-square (x2) statistics test at 0.05 significant points. The finding shown thatmean score of (25.22) significant value for the low income,(29.21) medium income resident and high income population with a mean value of (24.22) for thevariation of green properties among residents of Port Harcourt.The result further reserved that urban greens,reductions of flood and improvement of environmental potentials had a strong relationship at (x2 = 499.87> 0.005) and there was a positive relationship between environmental greening and education attainment at(r=-.285), weak relationship exist between greening and human population (r= - .053),occupational prestige and urban greening(r-.043). The work recommended thatphysical planning efforts are required for the provision and protection of green infrastructure through constituted taskforce on green infrastructure, civil defence and neighbourhood vigilantes or guard. The provision of such social security personnel will protect and improve urban and peri greens and areas perceived green infrastructure insecure will reduce and thus declining environmental calamities associated with alteration and non-inclusion of greens in urban development.
- Daibi – Oruene, Waaka Divine Department of Architecture, Ken Saro-Wiwa Polytechnic Bori, Rivers State Nigeria
- Onyekenichuku Godwin Department of Urban and Regional Planning, Enugu State University of Science and Technology Enugu Nigeria
- Ngene Ebenezer Kene Department of Urban and Regional Planning, Enugu State University of Science and Technology Enugu Nigeria
References
1. Abdullah, A.,,Celestina, B.L, Kerry, R.B (2016)’’Does green space matter? Exploring relationships between green space type and health indicators’’ Urban Forestry and Urban Greening, 20 (1) 407-418. 2. Andrew, C.K. L., Hannah, C. J., and Jason, H. (2015)’’ Value of urban green spaces in promoting healthy living and wellbeing’’ prospects for planning, (8)131—137DOI https://doi.org/10.2147/RMHP.S61654 3. Davern, M., Farrar, A., Kendal, D. amd Giles-Corti, B. (2016)’’ Quality Green Public Open Space Supporting Health, Wellbeing and Biodiversity: A Literature Review, Report prepared for the Heart Foundation, SA Health, Department of Environment, Water and Natural Resources, Office for Recreation and Sport, and Local Government Association (SA)’’ University of Melbourne: Victoria. 4. Jasper, S., Peter, B., Jens, T., Mette, T., Ulrika, K.S.(2013) Associations between physical activity and characteristics of urban green space Urban Forestry and Urban Greening, 12 (1) , 109-116 5. Jennifer, R.W., Jason, B. and Joshua, P.N. (2014) Urban’’ Green Space, Public Health, and Environmental Justice: The Challenge of Making Cities ‘just Green Enough’’ Landscape and Urban Planning, 125, 234-244 6. Jochem O.K., Gerard H. L..Bloemsmaab D., W, C., Brinka, B. B., Lebretab, N. .Janssen, A.H (2018) Green space definition affects associations of green space with overweight and physical activity Environmental Research 160, 531-540 https://doi.org/10.1016/j.envres.2017.10.027 7. Marianne, K. (2019)’’ Commentary – Climate change, health and green space co-benefits Health Promotion and Chronic Disease Prevention in Canada’’ Research Policy and Practice Health Promotion and Chronic Disease Prevention in Canada, 39 ( 4) 1 -12. 8. A Oradini-Alacreu, A Rebecchi, A G Mezzoiuso, R Croci, M Buffoli, A Odone, C Signorelli, S Capolongo (2020) ‘’Measuring health outcomes of OECD countries’ urban green space, with a special focus on Milan (Italy)’’European Journal of Public Health,https://doi.org/10.1093/eurpub/ckaa166.161 9. Slater SJ, Christiana RW, Gustat J. (2020)’’ Recommendations for Keeping Parks and Green Space Accessible for Mental and Physical Health During COVID-19 and Other Pandemics’’DOI: http://dx.doi.org/10.5888/pcd17.200204external icon. 10. Ubani, P., Tobi, D. S.,Amakiri, W. B. H and Neebee, B.(2023)’’ Green Wall and Public Health Facilities in Port Harcourt Metropolis Nigeria’’ International Journal of Latest Technology in Engineering, management and Applied Science, 12 (8) 33- 39. 11. Tobi, D. S., and Amakiri, W. B. H.(2023)’’ Environmental Analysis and Implications of Green Infrastructure Alteration in Nigeria City ’’ Conference Paper Presented at the 54th National Conference/ Annual General Meeting (AGM) of the Nigeria Institute of Town Planners (NITP) 23rd – 27th October 2023, Asaba Nigeria 12. V Gianfredi, M Buffoli, A Rebecchi, R Croci, A Oradini-Alacreu, G Stirparo, A Marino, A Odone, S Capolongo, C Signorelli (2021) Urban Green Spaces and Public Health Outcomes: a systematic review of literature, European Journal of Public Health,31(3)164.638, https://doi.org/10.1093/eurpub/ckab164.638 13. Word Health Organisation Meeting Report Bonn Germany (2016) Urban Green Space and Health: Intervention Impacts and Effectiveness, 1-33
Daibi – Oruene, Waaka Divine, Onyekenichuku Godwin and Ngene Ebenezer Kene, "Green Parapets Analysis and Environment of Port Harcourt Nigeria" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.12 issue 11, November 2023, pp.08-14 URL: https://doi.org/10.51583/IJLTEMAS.2023.121102
As Information and Communication Technologies (ICTs) reach unprecedented heights of global influence, the USA stands as a leader with 91.8% of its residents connected to the internet. The interconnection of sectors like healthcare, finance, social media, and governance through the internet results in an immense volume of data, stored and managed globally within Data Centers. The surge in Data Centers in the USA, driven by a 4.12% CAGR and expanding service providers, prompts a critical examination of their environmental impact. Currently, nearly 2% of the USA's total energy production is attributed to Data Centers, predominantly reliant on conventional energy sources. This research explores the potential transition of Data Centers to green energy sources, investigating the feasibility of taking them off the grid. By aligning internet user growth, Data Center functionalities, and the USA's renewable energy capacity, the study aims to unravel the environmental implications and sustainability challenges faced by the Data Center industry. Through an in-depth analysis of key point indicators for Data Center sustainability and leveraging various renewable resources, the research assesses the viability of supporting Data Centers with green energy in the USA. The findings delve into predictions for renewable energy production, offering insights into aligning energy consumption patterns with sustainable practices for a greener digital future.
- Babasola Osibo University of Dallas, Northgate Drive, Irving, United States of America.
- Simisola Adamo University of Dallas, Northgate Drive, Irving, United States of America.
References
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Data Center Energy Assessment Process Manual Version 2.0. (2020). 8. Dayarathna, M., Wen, Y., & Fan, R. (2016). Data Center energy consumption modeling: A survey. IEEE Communications Surveys and Tutorials, 18(1), 732–794. https://doi.org/10.1109/COMST.2015.2481183 9. Gao, J. (n.d.). Machine Learning Applications for Data Center Optimization. 10. Hinterholzer, S., & Hintemann, R. (2020). Energy consumption of Data Centers worldwide How will the Internet become green? https://www.researchgate.net/publication/341427004 11. Hoosain, M S., Paul, B S., Kass, S., & Ramakrishna, S. (2022, July 1). Tools Towards the Sustainability and Circularity of Data Centers. https://doi.org/10.1007/s43615-022-00191-9 12. Hoosain, M. S., Paul, B. S., Kass, S., & Ramakrishna, S. (2023). Tools Towards the Sustainability and Circularity of Data Centers. Circular Economy and Sustainability, 3(1), 173–197. https://doi.org/10.1007/s43615-022-00191-9 13. https://datacenters.lbl.gov/federal-data-centers 14. https://datareportal.com/reports/digital-2023-global-overview-report World Bank, 15. https://www.datacentermap.com/usa/ 16. https://www.rankred.com/largest-data-centers-in-the-world/ 17. https://www.statista.com/statistics/1228433/data-centers-worldwide-by-country/ 18. https://www.sunbirddcim.com/infographic/top-30-data-center-sustainability-metrics. 19. https://www.techtarget.com/searchdatacenter/tip/How-machine-learning-in-data-centers-optimizes-operations 20. https://www.techtarget.com/searchdatacenter/tip/How-much-energy-do-data-centers-consume 21. https://www1.eere.energy.gov/manufacturing/tech_assistance/pdfs/data_center.pdf 22. https://www3.uwsp.edu/cnr-ap/KEEP/nres635/Pages/Unit2/Section-B-Comparing-Renewable-and-Non-Renewable-Energy-Costs.aspx 23. https://www.wolframalpha.com/input/?i=fit+polynomial&f1=%7B1%2C+4%2C+9%2C+16%7D&f=InterpolatingPolynomialCalculator.data%5Cu005f%7B1%2C+4%2C+9%2C+16%7D&a=*FVarOpt-_**InterpolatingPolynomialCalculator.data2. 24. Kez, D A., Foley, A., Laverty, D., Rio, D D F D., & Sovacool, B K. (2022, October 1). Exploring the sustainability challenges facing digitalization and internet Data Centers. https://doi.org/10.1016/j.jclepro.2022.133633 25. Koomey, J. G. (2007). ESTIMATING TOTAL POWER CONSUMPTION BY SERVERS IN THE U.S. AND THE WORLD. http://www.koomey.com 26. Koomey, J. G. (2008). Worldwide electricity used in Data Centers. Environmental Research Letters, 3(3). https://doi.org/10.1088/1748-9326/3/3/034008 27. Koot, M., & Wijnhoven, F. (2021). Usage impact on Data Center electricity needs: A system dynamic forecasting model. Applied Energy, 291. https://doi.org/10.1016/j.apenergy.2021.116798 28. Lim, S. (2022, August 31). In Defense of Cloud Computing: A Summary. https://scite.ai/reports/10.47611/jsrhs.v11i3.2893 29. Montagud-Montalvá, C., Navarro-Peris, E., Gómez-Navarro, T., Masip-Sanchis, X., & Prades-Gil, C. (2023). Recovery of waste heat from data centers for decarbonisation of university campuses in a Mediterranean climate. Energy Conversion and Management, 290. https://doi.org/10.1016/j.enconman.2023.117212 30. Obringer, R., et al., 2021. The overlooked environmental footprint of increasing Internet 31. Progress with Sustainable Storage Strategies. IDC Corporate, Massachusetts, United 32. Reddy, V. D., Setz, B., Rao, G. S. V. R. K., Gangadharan, G. R., & Aiello, M. (2017). Metrics for Sustainable Data Centers. IEEE Transactions on Sustainable Computing, 2(3), 290–303. https://doi.org/10.1109/TSUSC.2017.2701883 33. Rostirolla, G., Grange, L., Thi, M.-T., Stolf, P., Pierson, J.-M., da Costa, G., Baudic, G., Haddad, M., Kassab, A., & Nicod, J.-M. (n.d.). A survey of challenges and solutions for the integration of renewable energy in datacenters. https://doi.org/10.1016/j.rser.2021.111787ï 34. Shehabi, A., Smith, S. J., Masanet, E., & Koomey, J. (2018). Data Center growth in the United States: Decoupling the demand for services from electricity use. Environmental Research Letters, 13(12). https://doi.org/10.1088/1748-9326/aaec9c 35. Siddik, A. B., Shehabi, A., Marston, L., & Via, C. E. (n.d.). The environmental footprint of Data Centers in the United States 36. www.energystar.gov Reading 1. A World that Counts. (n.d.). www.undatarevolution.org 2. Batmunkh, A. (2022). Carbon Footprint of The Most Popular Social Media Platforms. Sustainability (Switzerland), 14(4). https://doi.org/10.3390/su14042195 3. Bizo, D., Director, R., & Institute, U. (2022). Silicon heatwave: the looming change in Data Center climates. 4. Bizo, D., Director, R., & Institute, U. (2022). Silicon heatwave: the looming change in Data Center climates. 5. Brown, R., Masanet, E., Nordman, B., Tschudi, B., Shehabi, A., Stanley, J., Koomey, J., Sartor, D., Chan, P., Loper, J., Capana, S., Hedman, B., Duff, R., Haines, E., Sass, D., & Fanara, A. (2007). LBNL-XXXXX Report to Congress on Server and Data Center Energy Efficiency: Public Law 109-431 Environmental Energy Technologies Division Alliance to Save Energy. 6. DataCenters_AgreementGuidingPrinciples. (n.d.). 7. Department of Energy Federal Energy Management Program, U. (n.d.). Data Center Energy Efficiency. 8. EB016_Sunbird_eBook_Top_40_Data_Center_KPIs. (n.d.). 9. ENERGY STAR Rating for Data Centers. (n.d.). 10. ENERGY STAR Rating for Data Centers. (n.d.). 11. Energy Star, E. (2007). Report to Congress on Server and Data Center Energy Efficiency Public Law 109-431. 12. Energy Star, E. (2007). Report to Congress on Server and Data Center Energy Efficiency Public Law 109-431. 13. Grzesik, K., & Kuklinski, G. (2013). Screening life cycle assessment of a laptop used in Poland. Environment Protection Engineering, 39(3), 43–55. https://doi.org/10.5277/epe130304 14. Hoosain, M. S., Paul, B. S., Kass, S., & Ramakrishna, S. (2023). Tools Towards the Sustainability and Circularity of Data Centers. Circular Economy and Sustainability, 3(1), 173–197. https://doi.org/10.1007/s43615-022-00191-9 15. How Much Is Netflix Really Contributing to Climate Change? (n.d.). https://www.datacenterknowledge.com/energy/how-much-netflix-really-contributing-climate-change 16. Katal, A., Dahiya, S., & Choudhury, T. (2023). Energy efficiency in cloud computing Data Centers: a survey on software technologies. Cluster Computing, 26(3), 1845–1875. https://doi.org/10.1007/s10586-022-03713-0 17. Mahdavi, R., Ap, L., & Lintner, W. (n.d.). Contacts For more information on the Federal Energy Management Program, please contact. 18. Masanet, E., Shehabi, A., Liang, J., Ramakrishnan, L., Ma, X., Hendrix, V., Walker, B., & Mantha, P. (2013). The Energy Efficiency Potential of Cloud--Based Software: A U.S. Case Study. 19. Overview: The National Data Center Energy Efficiency Information Program integrates and coordinates existing activities from the DOE Save Energy Now initiative, DOE FEMP, and the EPA ENERGY STAR program. The elements of the Program include. (n.d.). www.energystar.gov/benchmark 20. Recommendations for Measuring and Reporting Overall Data Center Efficiency Version 2-Measuring PUE for Data Centers. (2011). 21. Recommendations for Measuring and Reporting Overall Data Center Efficiency Version 2-Measuring PUE for Data Centers. (2011). 22. Scheihing, P., & Varga, G. (n.d.). DOE Resources Can Cut Electricity Demand of Data Centers Visit the Save Energy Now website: Visit the DOE Data Centers website: For additional information, please contact: A Strong Energy Portfolio for a Strong America. http://www1.eere.energy.gov/industry/saveenergynow/index.htmlwww.eere.energy.gov/datacenters/http://www1.eere.energy.gov/informationcenter 23. Shehabi, A. (2009). 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Babasola Osibo & Simisola Adamo, "Data Centers and Green Energy: Paving the Way for a Sustainable Digital Future" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.12 issue 11, November 2023, pp.15-30 URL: https://doi.org/10.51583/IJLTEMAS.2023.121103
Throughout this research paper,R represent a prime ring. An additive mapping d∶ R→ R is said to be a derivation if it satisfies d(xy) = d(x)y + xd(y) for all x,y ∈R, alsod∶ R→ R is called a reverse derivation if it satisfies d(xy) = d(y)x + yd(x) for all x,y ∈R. A mapping F:R→R is said to be generalized derivation associated with derivation d∶ R→ R if F(xy)=F(x)y+xd(y) for all x,y ∈R and F:R→R is called a generalized reverse derivation associated with reverse derivation d:R→R if for all x,y∈R, thenF(xy)=F(y)x+yd(x).An additive mapping d: R →R associated with an automorphism α,β is called a reverse (α,β)-derivation on R if satisfying (xy)=d(y)α(x)+ β(y)d(x) , for all x,y∈R.The aim of this research paper is to establish the commutativity results of prime ring R by reverse (α,β)-derivation which satisfying certain constraints.
- Abdu Madugu Department of Mathematics and Statistics, Faculty of Natural and Applied Sciences, Umaru Musa Yar’adua University, P.M.B. 2218, Katsina, Nigeria
- Tasiu Abdullahi Yusuf Department of Mathematics and Statistics, Faculty of Natural and Applied Sciences, Umaru Musa Yar’adua University, P.M.B. 2218, Katsina, Nigeria
References
1. A. Boua and L. Oukhtite, (2011b). Generalized derivations and commutativity of prime near-rings, Journal of Advanced research in Pure Mathematics: 3 (2), 120-124. 2. M. Afrah Ibraheem,(2015). Reverse derivations on prime gamma near rings. Int. J. Pure Appl. Sci. Technol.: 26 (2), 64-69. 3. M. Quadri, M. S. Khan, and N. Rehman, (2003). Generalized derivations and commutativity of prime rings. Indian Journal of Pure and Applied Mathematics,: 34 (9), 1393 - 1396. 4. M. N. Daif and H. E. Bell, Remarks on derivations on semiprime rings, Inter- national Journal of Mathematics and Mathematical Sciences, 15 (1): 205-206, 1992. 5. H. E. Bell, On derivations in near-rings, ii. In Near rings, Near fields and K- loops, pages 191-197. Springer, 1997. 6. M. Bresar and J. Vukman, On some additive mapping in rings with involution, A. equations math., 38, 178-185, 1989. 7. M. Samman and N. Alyamani, Derivations and reverse derivations in semi prime rings, International Mathematical, Forum, 2 (39), 1895-1902, 2007. 8. Abdu Madugu& Tasiu A. Yusuf,Results on Prime Near-Ringvia Reverse (α,β)-Derivations,InternationalJournal of Trend inResearch and Development, 10 (4), 2023.
Abdu Madugu & Tasiu Abdullahi Yusuf, "On Prime Ring with Reverse α,β-Derivations" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.12 issue 11, November 2023, pp.31-33 URL: https://doi.org/10.51583/IJLTEMAS.2023.121104
This studyevaluated the physicochemical properties of re-used frying oils treated with natural antioxidating materials; onion, ginger, turmericand carrot.Yam chips of 300g was fried in 1.5 liters of oil in five (5) different oil systems at temperatures between 160 to 1900C for 30 days at three-days interval; Samples A: oil without plant material, B: oil plus 50g onions (O), C: oil plus 50g ginger (G), D: oil plus 50g turmeric (T), and E: oil plus 50g carrot (C). The oil samples (100ml) were collected in amber bottles after every frying round and topped to theoriginal volume with fresh oils. The physicochemical properties of the oil samplesweredetermined and the data obtained were analyzed using Analysis of variance (ANOVA) from the Statistical Package for Social Sciences (SPSS) version 25.The result obtained from the physicochemical propertiesof samples A to E showed that there was no significant (p>0.05) effect on the acid value (1.12 to 1.85 mgKOH/g), peroxide value (3.3 to 10.2 mEq/kg), specific gravity (0.92 to 0.96 g/ml), refractive index (1.47 to 1.55), viscosity (0.03 to 0.4 mp), flash point (277 to 3990C), smoke point (180 to 2600C) and fire point (326 to 4700C) of the oil systems while free fatty acid (0.16 to 0.26 %), saponification value (101.18 to 110.83 mgKOH/g), iodine value (18.40 to 161.80gI2/100g)and melting point (11 to 18.20C) were statistically significant (p<0.05). All the oil systems maintained their initial colours of amber yellow for samples A, B, C,E, while sample D has a golden yellow colour which was as a result of higher curcumin in turmeric.The plant materials showed potentials in reduction of lipid oxidations of re-used frying oil.
- Okoro, C. G. Department of Food Science and Technology, Federal University of Technology Owerri, Imo State, Nigeria.
- Olawuni A. I. Department of Food Science and Technology, Federal University of Technology Owerri, Imo State, Nigeria.
- Elemuo, G.K. Department of Food Science and Technology, Federal University of Technology Owerri, Imo State, Nigeria.
References
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European Journal of Lipid Science and Technology, 108: 109-115 9. Cutson, T. M., Laub, K. C. and Schenkman, M. (1995). Pharmacological and nonpharmacological interventions in the treatment of Parkinson's disease. Physical therapy, 75(5), 363-373. 10. De Alzaa, F., Guillaume, C. and Ravetti, L. (2018). Evaluation of Chemical and Physical Changes in Different Commercial Oils during Heating. Modern Olives Laboratory Services, Australia. Acta Scientific Nutritional Health, 2. 11. Elham, T. (2008). Lipid and Phytosterol Oxidation in Vegetable Oils and Fried Potato Products. Faculty of Natural Resources and Agricultural Sciences Department of Food Science Uppsala. Acta Universitatis AgriculturaeSueciae, 92. 12. Food Safety and Standards Authority of India, Ministry of Health and Family Welfare, Government of India New Delhi (FSSAI) (2015). Manual of Methods of Analysis of Foods, Oils and Fats. Lab Manual 2. 13. Hurrell R (2003). Influence of vegetable protein sources on trace element and mineral bioavailability. J. Nutr., 133(9): 2973–2977. 14. Ioana, S. (2014). Methods of Determination Viscosity Index for Sunflower Oils. University of Bucharest, Faculty of Chemistry, Department of Physical Chemistry, Bvd. Regina Elisabeta, no. 4-12, 030018 Bucharest, Romania, 3(11): 2277 – 8179. 15. John, C. B., Raja, S. A., Deepanraj, B. and Ong, H. C. (2021). Palm stearin biodiesel: preparation, characterization using spectrometric techniques and the assessment of fuel properties. Biomass Conversion and Biorefinery, 1-15 16. John, D., Jose, J., Bhat, S. G. and Achari, V. S. (2021). Integration of heterogeneous photocatalysis and persulfate-based oxidation using TiO2-reduced graphene oxide for water decontamination and disinfection. Heliyon, 7(7). 17. Matthäus, B. (2006). Utilization of high‐oleic rapeseed oil for deep‐fat frying of French fries compared to other commonly used edible oils. European Journal of Lipid Science and Technology, 108(3), 200-211. 18. Mengistie, T., Alemu, A. and Mekonnem, A. (2018). Comparison of physicochemical properties of edible vegetable oils commercially available in Bahir Dar, Ethiopia. Chemistry International, International Scientific Organization 4(2): 130-135. https://www.iscientific.org/ 19. Merry, N.U. (2015). New Basic Prevocational studies for Primary Schools. Book 5. 117-118. Meybiks Nigeria Publishers. 20. Min, D. B. and Boff, J. M. (2002). Lipid Oxidation of Edible Oil. In: C. C. Akohand, D. B. Min (Eds.), Food lipids: Chemistry, nutrition, and biotechnology. New York, NY: Marcel Dekker. 21. National Agency for Food and Drug Administration and Control (NAFDAC) (2019). “Food Irradiation Regulations, 2019”. 22. Raharjo, S. and Sofos, J.N. (1993). Methodology for Measuring Malonaldehyde as a Product of Lipid Peroxidation in Muscle Tissues: A review. Meat Science, 35, 145-169. 23. Ramadan, M., Afify, A.M.M. and El-Rahman, M.S.A. (2006). Correlation between Physicochemical Analysis and Radical Scavenging Activity of Vegetable Oil Blends as Affected by Frying of French fries. European Journal of Lipid Science Technology, 108: 670–678. 24. Shashikant, P. (2020). Assessment on Quality of Some Edible Cooking Oils Sold in Local Market Using Acid Value, Peroxide Value, Smoke Point, Flash Point and Fire Point. Food Analyst, DPHL, Jalgaon, Maharashtra. Journal of Emerging Technologies and Innovative Research (JETIR). 7(10): 2349-5162. www.jetir.org. 25. St. Angelo, A. J., Vercellotti, J., Jacks, T. and Legendre, M. (1996). Lipid oxidation in foods. Critical Reviews in Food Science and Nutrition, 36(3), 175-224. 26. Standard Organization of Nigeria (SON) (2000). Standard for Edible Refined Palm Oil and Its Processed Form. 2-5. 27. Uzomah, A., Nwosu, J.N. and Ndupuh, C.E. (2002). Laboratory Manual in Food Quality Control for Undergraduate and Postgraduate Students in Food Science and Technology, Department of Food Science and Technology, Federal University of Technology, Owerri. Pp27-28. 28. West, R. and Rousseau, D. (2018). The role of non-fat ingredients on confectionery fat crystallization. Critical reviews in food science and nutrition, 58(11), 1917-1936. 29. William, O. and Vida, O. E. (2015). Evaluation of Saponification value, Iodine value and Insoluble impurities in Coconut Oils from Jomoro District in the Western Region of Ghana. Asian Journal of Agriculture and Food Sciences, 3(5): 1571 – 2321. www.ajouronline.com.
Okoro, C. G., Olawuni A. I. and Elemuo, G.K., "Evaluation of the Physicochemical Properties of Re-used Frying Oils Treated with Natural Antioxidating Materials; Onion, Ginger, Turmeric and Carrot" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.12 issue 11, November 2023, pp.34-48 URL: https://doi.org/10.51583/IJLTEMAS.2023.121105
The mechanical evaluation of Al7075/ periwinkle ash particulate composites was studied. Al7075/periwinkle ash particulate composites at different weight percentage (2%, 4%, 6% and 8%) of periwinkle ash particles were produced using the stir casting method. The as-cast samples consisting of varied weight percentage of 0, 2, 4, 6, and 8% amount of periwinkle ash particulate were tested for mechanical properties such as hardness and tensile tests andtribological properties such as wear and friction test. The results were compared with the unreinforced sample under the same conditions. It was observed that the addition of periwinkle ash particulate increased the mechanical properties of the alloy composites. The tensile test results showed the 8wt% composite having maximum tensile strength of 493.1 N/mm2while 0wt% (unreinforced alloy) had the least value of 242.55 N/mm2. The hardness was found to be maximum for the 8wt% composite with a value of 77.2 HRB and least with a value of 61.5 HRB for the 0wt% (unreinforced alloy). The wear results showed a lower wear rate and frictional coefficient for the composite compared with the unreinforced alloy. Optical microscopy was used to examine the microstructure of the composites developed and uniform dispersion of the reinforcement was observed in the micrographs. The composites produced has light weight combine with good strength and can be used as bearings for brake disc.
- Salawu SalisuIjiji Department of Mechanical Engineering, Kogi State Polytechnic, Lokoja, Nigeria
- Saliu Adeiza Mumuni Department of Metallurgical and Materials Engineering, Kogi State Polytechnic, Lokoja, Nigeria
References
1. Agunsoye, J., Talabi, S., Bello, S. and Awe, I. (2014). The effects of cocos nucifera (coconut shell) on the mechanical and tribological properties of recycled waste aluminium can composites. Tribology in Industry, 36, pp. 155-162. 2. Aku, S. Y., Yawas, D. S., Madakson, P. B., Amaren, S. G., 2012. Characterization of periwinkle shell as asbestos-free brake pad materials. Pacific Journal of Science and Technology, 13, pp. 57–63. 3. Alaneme K K, Adewale T M. and Olubambi PA (2014). Corrosion and wear behaviour of Al Mg-Si alloy matrix hybrid composites reinforced with rice husk ash and silicon carbide. Journalof Materials Research and Technology,3, pp. 9–16. 4. Auradi,V., Rajesh,G.L. and Kori, S. A.(2014), Processing of B4C particulate reinforced 6061 Aluminium Matrix Composites by melt stirring involving two step addition, Procedia Material science,6,pp.1068-1076. 5. Gopal, U. B., Sreenivas, K. V and Vasudeva, B. (2012).Effect of percentage reinforcement of B4C on the tensile property of aluminium matrix composites, International Journal on Mechanical Engineering and Robotic Research, 3, pp. 290-295. 6. Matthew, F.L. and Rawlins, R.D. (2014).Composite materials, Engineering and science. Imperial College London, UK. 7. Onyechi, P. C., Asiegbu, K. O., Igwegbe, C. A. and Nwosu, M. C. (2015). Effect of volume fraction on the mechanical properties of periwinkle shell reinforced polyester composite (prpc), American Journal of Mechanical Engineering and Automation, 1, pp 1-15. 8. Owoeye, S.S. and Folorunsho D.O. (2018), dry sliding wear and friction behavior of hybridZA-27 alloy composites reinforced with silicon carbide and stone dust particulates, Proceedings of the 41st International Conference on Advanced Ceramics and Composites: Ceramic Engineering and Science Proceedings, (38), pp. 55-61 9. Saliu, A.M. Shehu, U., and Adebisi, A.A. (2019). Microstructural analysis and dry sliding wear and friction behaviour of ZA-27 alloy reinforced with boron carbide particulate composite. Proceedings of the 35th Annual Conference of the Nigerian Metallurgical Society(NMS), 35, pp. 177-183 10. Singh, V. K., Gope, P. C., Chauhan, S. and Bisht D.S. (2012). Mechanical behavior of banana fiber based hybrid bio-composites. Journal for Materials Environmental Science,3,pp.185-194. 11. Sirahbizuyigezu, B., Mahapatra, M. M and Jha, PK.(2013). Influence of reinforcement type on microstructure, hardness, and tensileproperties of an aluminum alloy metal matrixcomposite. Journal of Mineral and Material Characterization Enginerring, 4, pp.24–30. 12. Zhu, J and Hong, Y. (2017). Fabrication of an A356/fly-ash-mullite interpenetrating composite and its wear properties.Ceramics International, 7, pp. 1-8.
Salawu SalisuIjiji and Saliu Adeiza Mumuni, "Effect of Periwinkle Particulate on the Mechanical Properties of Al7075 Alloy Composite" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.12 issue 11, November 2023, pp.49-54 URL: https://doi.org/10.51583/IJLTEMAS.2023.121106
Acquired images for medical and other purposes can be affected by noise from both the equipment used in the capturing or the environment. This can have adverse effect on the information therein. Thus, the need to restore the image to its original state by removing the noise. To effectively remove such noise, pre knowledge of the type of noise model present is necessary. This work explores different noise removal filters by first introducing noise to an image and then applying different spatial domain filtering techniques to the image to get rid of the noise. Different evaluation techniques such as Peak to Signal Noise Ratio(PSNR) and Root Mean Square Error(RMSE) were adopted to determine how effective each filter is on a given image noise. Result showed that some filters are more effective on some noise models than others.
- Onyedinma, E. G. Department of Computer Science,NnamdiAzikiwe University, Awka. Anambra State, Nigeria
- Onyenwe, I. E. Department of Computer Science,NnamdiAzikiwe University, Awka. Anambra State, Nigeria
References
1. Gonzalez, R.C. and Woods, R.E. (2019). Digital Image Processing (4thed, pp. 317-368). Pearson. 2. Vijaysinh, L.A (2022). Guide to Different Types of Noises and Image Denoising Methods. https://analyticsindiamag.com/a-guide-to-different-types-of-noises-and-image-denoising-methods/ Accessed [Aug 2023] 3. Dougherty G. (2010). Digital Image Processing for Medical Applications(2nd ed.). Cambridge university press. 4. Prabhishek S. and Raj S. (2016). A Comparative Study to Noise Models and Image Restoration Tech-niques.International Journal of Computer Applications (0975 – 8887)/ 149(1) 5. Ajay K. and Brijendra K.J.(2015). A Review Paper: Noise Models In Digital Image Processing. Signal & Image Processing: An International Journal (SIPIJ),6(2). 6. Rohit V. and AliJ.(2013) A comparative study of various types of image noise and efficient noise removal tech-niques. International Journal of Adavanced Research in Computer Science and Softwre Engineering. 3(10) 7. Hugues T. (2009): Efficient Poisson Denoising For Photography. Proceddings of International Conference On Image Processing. DOI:10.1109/ICIP.2009.5414042 8. Onyedinma E.,OnyenweI and Inyiama H.(2019). Performance Evaluation of Histogram Equalization and Fuzzy im-age Enhancement Techniques on Low Contrast Images. International Journal of Computer Science and Software Engineering (IJCSSE), 8(7). 9. Hu L., Na Li and Shengrong Z.(2021). Salt and Pepper Noise Removal Method Based on a Detail-Aware Filter. Symmetry https://Doi.org/10.3390/sym13030515. 10. Wang Z. and Alan C.(2002). A Universal Image Quality Index. IEEE signal processing Letters vol 9(3). Pp. 81-84 11. Xiaodan,J. and Keigo H(2013). Approximations to Camera Sensor Noise. Proceedings of SPIE - The International Society for Optical Engineering 8655. DOI: 10.1117/12.2019212 12. Umme S., MoriumA.and Mohammad S.(2019). Image Quality Assessment through FSIM, SSIM, MSE and PSNR—A Comparative Study. Journal of Computer and Communications (7) DOI: 10.4236/jcc.2019.73002 13. Kumar N, Deepak P. and Frederick E (2016). Preserving the Edges of a Digital Image Using Various Filtering Algorithms and Tools. International Journal of Signal Processing, Image Processing and Pattern Recognition (12). 14. Church, J., Chen, Y. and Rice, S. (2008). Department of Computer and Information Science”, University of Missis-sippi, “A Spatial Median Filter for Noise Removal in Digital Images”, IEEE, pp. 618- 623. 15. Hassh P., Ayush N., Amit K., Aakanksha B. and Neha S. (2014). Average Filters. International Journal on Robotics, Automation and Sciences ... in Computer Engineering & Applications. 16. Zhang, M. (2009). Bilateral filter in image processing: LSU Master's Theses. https://digitalcommons.lsu.edu/gradschool_theses/1912 17. Vedoveli, H.(2023). Image Filtering Technoques in Image Processing. Accessed [August 2023] 18. Devi G. and Patil, N(2020). "Analysis & Evaluation of Image filtering Noise reduction technique for Microscopic Images," 2020 International Conference on Innovative Trends in Information Technology (ICITIIT), Kottayam, In-dia, 2020, pp. 1-6, doi: 10.1109/ICITIIT49094.2020.9071556.
Onyedinma, E. G. and Onyenwe, I. E., "Image Restoration: A Comparative Analysis of Image De noising Using Different Spatial Filtering Techniques" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.12 issue 11, November 2023, pp.55-63 URL: https://doi.org/10.51583/IJLTEMAS.2023.121107
In an era of globalization and rapid technological advancement, the healthcare sector is undergoing profound transformation and increasing complexity. Nursing services are pivotal in this evolving global landscape that must be connected to these dynamic changes. This study probes into the complex interplay of organizational factors and organizational citizenship behaviour, examining the mediating influence of unit management competencies and the moderating role of work experience within a comprehensive theoretical framework. The main purpose of this research is to establish a vigorous theoretical foundation for investigating the impact of organizational factors on organizational citizenship behavior, with specific attention on the mediating role played by unit management competencies among nurses in-charge. This study follows a systematic five-stage approach, commencing with a comprehensive literature review facilitated by the Zotero reference management system and VOS viewer software. This method identifies existing research gaps and clarifies empirical and theoretical associations between various variables. The results were that the blend of existing research led to the formulation of hypotheses and the creation of a refined conceptual framework. Empirical and theoretical evidence substantiated the relationships between four key organizational factors: burnout, work environment, organizational support, interpersonal relationships and organizational citizenship behaviour. This proposed conceptual framework has the potential to be empirically tested within healthcare institutions, thereby expanding our comprehension of these crucial dynamics. Subsequent research in this domain will contribute to a deeper understanding of these critical factors. The findings of this study hold significant implications for nurse managers, hospital administrators, and, ultimately, the welfare of clients and the community at large.
- Chandima Manori Senanayake Faculty of Graduate Science, University of Sri Jayewardenepura, Sri Lanka
- Geetha Tharanganie Madagamage Department of Human Resource Management, Faculty of Management Studies and Commerce, University of Sri Jayewardenepura, Sri Lanka
- Thuduwage Lasanthika Sajeevanie Department of Human Resource Management, Faculty of Management Studies and Commerce, University of Sri Jayewardenepura, Sri Lanka
References
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Factors affecting job performance of hospital nurses in capital city of Indonesia: Mediating role of organizational citizenship behavior (Jakarta). 13. Indonesia. 7. Gunawan, J., Aungsuroch, Y., Fisher, M. L., McDaniel, A. M., & Liu, Y. (2022). Competence‐based human resource management to improve managerial competence of first‐line nurse managers: A scale development. International Journal of Nursing Practice, 28(1). Indonesia. 8. Warshawsky, N. E., Havens, D. S., &Knafl, G. (2012). The Influence of Interpersonal Relationships on Nurse Managers’ Work Engagement and Proactive Work Behavior. JONA: The Journal of Nursing Administration, 42(9), 418–425. Lexington. 9. Annual Health Statistics (2019). Medical Statistics Unit Ministry of Health, Sri Lanka. 10. Human Resources Profile (2015). Ministry of Health, Sri Lanka. 11. Sri Lanka Nursing Service Minute (2013). The Gazette of the Democratic Socialist Republic of Sri Lanka: Extraordinary. 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Career indecision: A systematic literature review. Journal of Humanities and Applied Social Sciences. https://doi.org/10.1108/JHASS-06-2022-0083 17. Senanayake, C.M., Tharanganie, M.G. and Sajeevanie, T.L. (2023) ‘Identifying Gaps in Organizational Factors and the Citizenship Behavior of Nurses In-charge and Mediating the Impact of Management Competency’, International Journal of Research and Innovation in Social Science, VII(V), pp. 12–25. Available at: https://doi.org/10.47772/IJRISS.2023.70502. 18. Gasparino, C., Renata, Daiana Mendonça Ferreira, T., Ceretta Oliveira, H., Fernanda dos Santos Alves, D., & Pazetto Balsanelli, A. (2021). Leadership, adequate staffing and material resources, and collegial nurse–physician relationships promote better patients, professionals and institutions outcomes. Journal of Advanced Nursing, 77(6), 2739–2747. Brazil. https://doi.org/10.1111/jan.14805 19. Gunawan, J., Aungsuroch, Y., & Fisher, M. L. (2017). Factors contributing to managerial competence of first-line nurse managers: A systematic review. International Journal of Nursing Practice, 24(1), e12611. Thailand. https://doi.org/10.1111/ijn.12611 20. Sesen, H., Cetin, F., & Basim, H. N. (2011). The Effect of Burnout on Organizational Citizenship Behaviour: The Mediating Role of Job Satisfaction. Administrative Sciences, 1, 25. Turkey. 21. Dutra, C. K. dos R., &Guirardello, E. de B. (2021). Nurse work environment and its impact on reasons for missed care, safety climate, and job satisfaction: A cross‐sectional study. Journal of Advanced Nursing, 77(5), 2398–2406. Brazil. 22. Smith, J. G., Morin, K. H., & Lake, E. T. (2018). Association of the nurse work environment with nurse incivility in hospitals. Journal of Nursing Management, 26(2), 219–226. USA. 23. Battistelli, A., Galletta, M., Vandenberghe, C., & Odoardi, C. (2016). 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L., Flyn, L., & Neff, D. F. (2012). Effects of nurse staffing and nurse education on patient deaths in Hospitals with different nurse work environments. The Journal of Nursing Administration, 49(10), 1047–1053. https://doi. org/10.1097/01.NNA.0000420390.87789.67. 33. Kwame, A., &Petrucka, P. M. (2020). Communication in nurse-patient interaction in healthcare settings in sub-Saharan Africa: A scoping review. International Journal of Africa Nursing Sciences, 12, 100198. Africa. 34. Rebeiro, G., Edward, K., Chapman, R., & Evans, A. (2015). Interpersonal relationships between registered nurses and student nurses in the clinical setting—A systematic integrative review. Nurse Education Today, 35(12), 1206–1211. Australia. http://dx.doi.org/10.1016/j.nedt.2015.06.012 35. Lusiyana, A., Handiyani, H., &Pujasari, H. (2021). The Relationship Between Case Manager Competence and Nurse Burnout in Indonesia. KnE Life Sciences, 953–968. Indonesia. 36. Alber, L., Augustus, L., Hahn, S., Penkert, J., Sauer, R., & DeSocio, J. (2009). Applying Benner’s Model to Psychiatric Mental Health Nurse Practitioner Self-Ratings of Role Competence. Journal of the American Psychiatric Nurses Association, 15(2), 126–137. https://doi.org/10.1177/1078390309333181 37. Aloustani, S., Atashzadeh-Shoorideh, F., Zagheri-Tafreshi, M., Nasiri, M., Barkhordari-Sharifabad, M., & Skerrett, V. (2020). Association between ethical leadership, ethical climate and organizational citizenship behavior from nurses’ perspective: A descriptive correlational study. BMC Nursing, 19(1), 15. Iran. 38. Ozluk, B., & Baykal, U. (2020). Organizational Citizenship Behavior among Nurses: The Influence of Organizational Trust and Job Satisfaction. Florence Nightingale Journal of Nursing, 28(3), 333–340. Turkey. 39. Tilden, V. P., & Tilden, S. (1985). Benner, P. (1984). From novice to expert, excellence and power in clinical nursing practice. 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Chandima Manori Senanayake, Geetha Tharanganie Madagamage, Thuduwage Lasanthika Sajeevanie, "Constructing A Conceptual Framework: Organizational Factors and Organizational Citizenship Behaviour among Nurses" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.12 issue 11, November 2023, pp.64-73 URL: https://doi.org/10.51583/IJLTEMAS.2023.121108
Let x,y and z be non-negative integers. We prove that the exponential Diophantine equation 29x- 3y = z2 has the unique solution (x,y,z) = (0,0,0).
- Theeradach Kaewong Department of Mathematics and Statistics, Thaksin University, Phatthalung 93210, Thailand.
- Wariam Chuayjan Department of Mathematics and Statistics, Thaksin University, Phatthalung 93210, Thailand.
- Sutthiwat Thongnak Department of Mathematics and Statistics, Thaksin University, Phatthalung 93210, Thailand.
References
1. Acu, D.,(2007)On a Diophantine Equation , General Math., 15, 145–148. 2. Asthana, S., (2017) On the Diophantine equation , International Journal of Algebra, 11, 225–230. 3. Burshtein, N., (2019) A short note on solutions of the Diophantine equations and in positive integers , Annals of Pure and Applied Mathematics, 19(2), 55 – 56. 4. Burton, D. M., (2011) Elementary Number Theory, The McGraw-Hill Companies. 5. Chotchaisthit, S., (2012) On the Diophantine equation where is a prime, American Journal Mathematics and Sciences, 1, 191–193. 6. Mihailescu, P., (2004)Primary Cyclotomic Units and a Proof of Catalan’s Conjecture, Journal fur die Reine und Angewandte Mathematik, 572, 167–195. 7. Rabago, J. F. T., (2018) On the Diophantine equation where is a prime, Thai Journal ofMathematics, 16(3), 643-650. 8. Sroysang, B., (2013) On the Diophantine equation , International Journal of Pure and AppliedMathematics, 89(1), 111–114. 9. Suvarnamani, A., Singta, A. andChotchaisthit, S., (2011) On two Diophantine equations and , Science and Technology RMUTTJournal, 1(1), 25–28. 10. Thongnak, S., Chuayjan, W. and Kaewong, T., (2021) The Solution of The Exponential Diophantine equation Mathematical Journal, 66 (703), 62-67. 11. Thongnak, S., Chuayjan, W. and Kaewong, T., (2022) On the Diophantine equation where and are non-negative integers, Annals of Pure and Applied Mathematics, 25(2), 63-66. 12. Thongnak, S., Chuayjan, W. and Kaewong, T., (2023) On theDiophantine equation , Annals of Pure and Applied Mathematics, 27(1), 23-26. 13. Thongnak, S.,Kaewong, T. and Chuayjan, W., (2024) On the Exponential Diophantine equation , International Journal of Mathematics and Computer Science, 19(1),181-184.
Theeradach Kaewong, Wariam Chuayjan, and Sutthiwat Thongnak, "On the Exponential Diophantine Equation 29x- 3y = z2" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.12 issue 11, November 2023, pp.74-76 URL: https://doi.org/10.51583/IJLTEMAS.2023.121109
This paper investigates the complexities of financial inclusion in Nigeria, exploring the factors that shape its landscape. Amidst Nigeria's evolving socio-economic context, financial inclusion, characterized by access to formal financial services, plays an essential role in poverty reduction and economic growth. The study adopted a content analysis method using empirically verified literature. The study uncover the core determinants of financial inclusion within Nigeria through the lens of the Theory of Planned Behavior (TPB). By inspecting the attitudes, subjective norms, and perceived behavioral control of individuals, it aims to shed light on the complex dimensions of financial inclusion in Africa's largest economy. This research contributes to the field of financial inclusion by offering a comprehensive analysis grounded in a well-established theoretical framework and provides actionable policy recommendations inform of promoting positive attitude towards financial literacy, and harnessing social influence through community engagement, to advance financial inclusion initiatives.
- Ibrahim Sahabi Muhammad Department of Economics, Shehu Shagari University of Education, Sokoto, Nigeria
References
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Ibrahim Sahabi Muhammad, "Exploring Determinants of Financial Inclusion in Nigeria: A Literature Review through the Lens of the Theory of Planned Behavior" International Journal of Latest Technology in Engineering, Management & Applied Science-IJLTEMAS vol.12 issue 11, November 2023, pp.77-83 URL: https://doi.org/10.51583/IJLTEMAS.2023.121110