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Your search keyword '"SONAWANE, Vijay R."' showing total 11 results
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11 results on '"SONAWANE, Vijay R."'

3. EXPERIMENTAL ANALYSIS OF VAPOUR COMPRESSION REFRIGERATION SYSTEM USING NANO LUBRICANT WITH REFRIGERANT R134a.

Author

SHEWALE, Vinod C., KAPSE, Arvind A., and SONAWANE, Vijay R.

Subjects
COOLING systems, REFRIGERANTS, VAPORS, HEAT transfer, THERMOPHYSICAL properties, THERMAL conductivity
Abstract

It has been proved that due to addition of nanoparticals to the refrigerant results in improvement in thermophysical properties and heat transfer characteristics of the primary refrigerant, which improves the COP of the refrigeration system. In this experimental analysis of vapour compression system, the performance study has been carried out by preparing the nanolubricant. In this experimental study, three cases are considered. The compressor of the system filled with pure polyolester (POE) oil, SUNISO-3GS oil and POE + TiO2 nanoparticles as lubricant. In the nanolubricant, the volume concentration of the nanoparticles is 0.2%. The experimental study shows that vapour compression refrigeration system works smoothly with nanorefrigerant. In this experimental study, it has observed that when nanolubricant used in place of traditional POE oil, the refrigerating effect has been increased and the compressor power consumption has reduced by 27% and the refrigeration system COP improves by 29%. The analysis shows that the enhancement factor in the evaporator is 1.2 when nanorefrigerants are used instead of pure refrigerant. The properties of refrigerant like thermal conductivity and density are also studied for the nanolubricant by using the Labview software, in which the thermal conductivity and the density of R134a and nanolubricant mixture are observed higher in comparison with the R134a and pure lubricant mixture. [ABSTRACT FROM AUTHOR]

Published
2024
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4. GAN Base feedback analysis system for industrial IOT networks

Author

Ashok, K., Boddu, Rajasekhar, Ali Syed, Salman, Sonawane, Vijay R., Dabhade, Ravindra G., Shaker Reddy, Pundru Chandra, Ashok, K., Boddu, Rajasekhar, Ali Syed, Salman, Sonawane, Vijay R., Dabhade, Ravindra G., and Shaker Reddy, Pundru Chandra

Abstract

The internet, like automated tools, has grown to better our daily lives. Interacting IoT products and cyber-physical systems. Generative Adversarial Network’s (GANs’) generator and discriminator may have different inputs, allowing feedback in supervised models. AI systems use neural networks, and adversarial networks analyse neural network feedback. Cyber-physical production systems (CPPS) herald intelligent manufacturing . CPPS may launch cross-domain attacks since the virtual and real worlds are interwoven. This project addresses enhanced Cyber-Physical System(CPS) feedback structure for Denial-of-Service (DoS) defence . Comparing sensor-controller and controller-to-actuator DoS attack channels shows a swapping system modelling solution for the CPS’s complex response feedback. Because of the differential in bandwidth between the two channels and the suspects’ limited energy, one person can only launch so many DoS assaults. DoS attacks are old and widespread. Create a layered switching paradigm that employs packet-based transfer techniques to prevent assaults. The discriminator’s probability may be used to assess whether feedback samples came from real or fictional data. Cognitive feedback can assess GA feedback data.

Published
2023

5. Multi Authority Access Control Mechanism for Role Based Access Control for Data Security in the Cloud Environment

Author

Gunjal, Mahesh B and Sonawane, Vijay R

Subjects
Role Based Access Control, AES, Multi Authority Access Control, Cloud data security
Abstract

There has been an increasing tendency toward storing vast amounts of data on the cloud, which can be attributed to the rapid advancements that are taking place in cloud computing. As a result, the critical concern of how to manage and prevent unauthorized access to data that is kept in the cloud has been raised as a result of this. We present a secure data sharing approach, which, by utilizing Role-Based Access Control and the AES encryption method, is capable of achieving secure key distribution & information sharing for dynamic groups. The data is protected by our system, which also allows for its regeneration in the event that it is mishandled by an unauthorized user. A Proxy server will be given responsibility for completing this task. The information pertaining to the users would be kept in both the public and the private portions of the cloud storage. Users will only be able to access the data stored in the public cloud, allowing the private cloud to maintain its higher level of security. The original data that was stored in the private cloud would be collected by the Proxy server as soon as any unauthorized changes are made, and it will then be given back to the user. Users of cloud storage are typically provided with a variety of redundancy configuration options in order to achieve the optimal level of performance while also maintaining an acceptable level of fault tolerance. The system has the ability to concurrently achieve the highest possible level of both security and privacy.The results of our experiments have led us to the conclusion that computations on the client side that involve encryption and decryption can produce accurate results.

Published
2023

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