International Journal of

Automation and Smart Technology

Lenin Kanagasabai1*


1Department of EEE, Prasad V. Potluri Siddhartha Institute of Technology, Kanuru, Vijayawada, Andhra Pradesh -520007. India

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ABSTRACT


In this paper Enriched Basil Seed Optimization ( Little Child Imagination and Learning Inspired ( LISPO),In this paper Enriched Basil Seed Optimization ( Little Child Imagination and Learning Inspired ( LISPO),Malignant Neoplasm of Uterine Algorithm (MNUO designed. Key objectives of the paper are Actual Po wer LossReduction and Voltage stability Enhancement in Electrical Power System Basil seed algorithm based on the connotationamongst Basil and seeds. In pursuit of the optimal standards of dispersal of Basil seeds are significant and it is notconceivabl e to produce the seeds in capricious manner. In order to augment the process, actions of the Valoniaventricosa been integrated into the procedure . LISPO procedure utilizes the Golden proportion and imitates theintellectual knowledge and kid's sketch phases by means of finger compression girth, span and golden proportion ofthe kid's sketch. By experimental and slip, the kids’ sketches progress from scrawl to an attractive sketch. Malig nantNeoplasm of Uterine mathematically designed to formulate the MNUO algorithm. Preliminary Malignant Neop lasmmagnitude in the uterus computed mathematically and it emphasizes the location in the procedure. Proposed EBS,LISPO and MNUO validated in 23 Benchmarking functions, IEEE 30 and 354 bus systems.


Keywords: Real, Furcifer, Nasuella olivacea


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REFERENCES


  1. [1] B. Mandal, P. K. Roy, “Optimal reactive power dispatch using quasi-oppositional teaching learning based optimization,” International Journal of Electrical Power & Energy Systems, 53, 123–134, 2013. https://doi.org/10.1016/j.ijepes.2013.04.011

  2. [2] S. Mouassa, T. Bouktir, “Multi-objective ant lion optimization algorithm to solve large-scale multi-objective optimal reactive power dispatch problem”, COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 35,350-372, 2018. https://doi.org/10.1108/COMPEL-05-2018-0208

  3. [3] H. T. Tran, T. V. Pham, L. V. Pham, N. T. Le, T. T. Nguyen, “Finding optimal reactive power dispatch solutions by using a novel improved stochastic fractal search optimization algorithm,” Telecommunication Computing Electronics and Control, 17, , 2517–2526, 2019. http://doi.org/10.12928/telkomnika.v17i5.10767

  4. [4] T. L. Duong, M. Q. Duong, P. Van-Duc, T. T. Nguyen, “Optimal Reactive Power Flow for Large-Scale Power Systems Using an Effective Metaheuristic Algorithm” Hindawi Journal of Electrical and Computer Engineering, 11, 1-11, 2020. https://doi.org/10.1155/2020/6382507

  5. [5] A. K. PG, A. J. P, D.Devaraj, “Hybrid CAC-DE in optimal reactive power dispatch (ORPD) for renewable energy cost reduction,” Sustainable Computing: Informatics and Systems, 35,1-10, 2022. https://doi.org/10.1016/j.suscom.2022.100688

  6. [6] A. M. Abd-EI Wahab, S. Kamel, M. H. Hassan, M. I. Mosaad, T. A. AbdulFattah, “Optimal Reactive Power Dispatch Using a Chaotic Turbulent Flow of Water-Based Optimization Algorithm,“ Mathematics 10(3):346, 2022. https://doi.org/10.3390/math10030346

  7. [7] N. H. Khan, R. Jamal, M. Ebeed, S. Kamel, H. Zeinoddini-Meymand, H. M. Zawbaa, “Adopting Scenario-Based approach to solve optimal reactive power Dispatch problem with integration of wind and solar energy using improved Marine predator algorithm”, Ain Shams Engineering Journal, Volume 13, 5, 2022. https://doi.org/10.1016/j.asej.2022.101726

  8. [8] Illinois Center for a Smarter Electric Grid (ICSEG). https://icseg.iti.illinois.edu/ieee-30-bussystem

  9. [9] R. Kavitha, M. Kavitha, R. Srinivasan, N. R. Rajalakshmi and R. Dhayanidhi, "Basil Leaf Diseases Detection using Deep Learning architectures," 2022 IEEE 19th India Council International Conference (INDICON), Kochi, India, 2022, pp. 1-5. https://doi.org/10.1109/INDICON56171.2022.10040158

  10. [10] L. Oprica, N. Grigore, I. Bara ,G. Vochita, "Salinity and SiO2 Impact on Growth and Biochemical Responses of Basil (Ocimum Basilicum L.) Seedlings," 2021 International Conference on e-Health and Bioengineering (EHB), Iasi, Romania, 2021, pp. 1-4. https://doi.org/10.1109/EHB52898.2021.9657645

  11. [11] T. Vijayashree, A. Gopal, "Comparison procedure for the authentication of Basil (Ocimum tenuiflorum) leaf using image processing technique," 2015 International Conference on Communications and Signal Processing (ICCSP), Melmaruvathur, India, 2015, pp. 0075-0078. https://doi.org/10.1109/ICCSP.2015.7322591

  12. [12] V. Chouvatut, S. Wattanapairotrat, "Feature Reduction from Correlation Matrix for Classification of Two Basil Species in Common Genus," 2019 16th International Joint Conference on Computer Science and Software Engineering (JCSSE), Chonburi, Thailand, 2019, pp. 375-380. https://doi.org/10.1109/JCSSE.2019.8864221

  13. [13] S. Dunca, L. Oprica, Ira-Adeline Simionov, A. Antache, A. Nica, Marius-Nicusor Grigore, A. Miron, D. Costin, R. Magean, Stefan- Mihai Petrea, "Antibacterial Activity of Ocimum basilicum L. Extracts Grown in Aquaponic Conditions Against Gram-positive and Gram-negative Species," 2022 E-Health and Bioengineering Conference (EHB), Iasi, Romania, 2022, pp. 1-4. https://doi.org/10.1109/EHB55594.2022.9991296

  14. [14] J. D. Cruz, M. V. Caya, A. D. Fajardo, M. J. Manzanilla, M. R. Sabuco, A. Chummac, "Green roof Irrigation Using Evapotranspiration for Alfalfa and Basil," 2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM), Manila, Philippines, 2020, pp. 1-6. https://doi.org/10.1109/HNICEM51456.2020.9400151

  15. [15] J. Mia, H. Bijoy, S. Uddin, D. Raza, "Real-Time Herb Leaves Localization and Classification Using YOLO," 2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT), Kharagpur, India, 2021, pp. 1-7. https://doi.org/10.1109/ICCCNT51525.2021.9579718

  16. [16] R. Lainson, C. D. Field, “Electrical properties of Valonia ventricosa”, J Membr Biol. 20;29(1-2):81-94. 1976. https://doi.org/10.1007/BF01868953

  17. [17] Z. Chen, S. Wang, X. Cui, "Evaluation method of children's learning concentration based on deep learning," 2021 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA), Dalian, China, 2021, pp. 177-181. https://doi.org/10.1109/ICAICA52286.2021.9498015

  18. [18] A. M. Tudose, I. I. Picioroaga, D. O. Sidea, C. Bulac, “Solving Single and Multi-Objective Optimal Reactive Power Dispatch Problem Using an Improved Salp Swarm Algorithm,” Energies, 14,1-20, 1222, 2021. https://doi.org/10.3390/en14051222

  19. [19] V. I. Patil, D. Ijeri, S. A. Patel, "Histopathological Image Analysis Of Uterus Cancer," 2022 IEEE North Karnataka Subsection Flagship International Conference (NKCon), Vijaypur, India, 2022, pp. 1-6. https://doi.org/10.1109/NKCon56289.2022.10126604

  20. [20] B. Gopinath, R. Santhi, R. D. Praba, "A Machine Learning based Decision Support System to Predict the Presence of Cervical Cancer," 2023 2nd International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA), Coimbatore, India, 2023, pp. 1-4. https://doi.org/10.1109/ICAECA56562.2023.10199642


ARTICLE INFORMATION


Received: 2023-09-05
Revised: 2023-09-13
Accepted: 2023-09-15
Available Online: 2023-12-22


Cite this article:

Kanagasabai, L. (2023) Novel Enriched Basil Seed Optimization, Little Child Imagination and LearningNovel Enriched Basil Seed Optimization, Little Child Imagination and LearningInspired, Malignant Neoplasm of UterineAlgorithm. https://doi.org/10.5875/ausmt.v13i1.2488

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