-74813b3e17f460286df-4a2f 20220415044218889 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Recent Technology and Engineering (IJRTE) IJRTE 22773878 10.35940/ijrte.2277-3878 https://www.ijrte.org/ 05 30 2022 11 1 Assistant Professor, Department of Electrical and Electronics Engineering, Marian Engineering College, Kazhakuttom, Trivandrum. (Kerala), India. Prof. Geena S Dr. P. Sreejaya Former Professor and Head, Department of Electrical and Electronics Engineering, College of Engineering, Trivandrum. (Kerala), India. This paper provides a novel view of using the UPQC (Unified Quality Power Flow Controller) for voltage sag mitigation using Fruit Fly optimization (FFO) control component designed to compensate Real and Reactive Power for a hybrid system and discuss improved hybrid stability. Detailed analysis of the small-line signal of the hybrid model PV-Wind-battery model is considered for different loading conditions. The FFO algorithm is used to provide excellent performance for varying duty cycles. The simulation results show that UPQC has the ability to improve transmission capabilities and is very useful to use. The voltage is compensated 90% using the UPQC-based FFO algorithm. The proposed system also provides a minimum amount of complete harmonic distortion. The simulation results based on MATLAB / Simulink are supported to support the improved concept. 05 30 2022 66 72 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A6935.0511122 https://www.ijrte.org/portfolio-item/a69350511122/ Assistant Professor, Department of Computer Science and Engineering, Malnad College of Engineering, Hassan (Karnataka), India. Kavyasri M N Dr. Ramesh B Professor, Department of Computer Science and Engineering, Malnad College of Engineering, Hassan (Karnataka), India. Cloud computing is relatively one among the new technologies that is attracting moreclients to adopt cloud storage for easy and convenient online data storage and sharing. Because of its efficient computations, it has attracted the attention of both industry and academia. Companies began outsourcing confidential data to cloud service data centres. These data storage applications have security concerns about data confidentiality and privacy. When data is moved to the cloud, the customer loses control of the data and must rely on the cloud service provider. To protect their data, clients must first guarantee that it is encrypted. Encryption is a promising method for keeping data private in the cloud. ABE is a potential technique for dealing with security challenges in data center cloud storage. The key benefit is that it allows flexible one-to-many encryption. We present a model termed key-Cipher-policy-based ABE in this study. It allows optimized and more secure access to data stored at the data centers of cloud. with optimized encryption and less encryption time. 05 30 2022 73 76 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C6486.0511122 https://www.ijrte.org/portfolio-item/c64860910321/