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S. Sofana Reka
School of Electronics Engineering, Vellore Institute of Technology, Chennai, India

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Journal article
Published: 08 April 2021 in IEEE Access
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Demand response modelling have paved an important role in smart grid at a greater perspective. DR analysis exhibits the analysis of scheduling of appliances for an optimal strategy at the user’s side with an effective pricing scheme. In this proposed work, the entire model is done in three different steps. The first step develops strategy patterns for the users considering integration of renewable energy and effective demand response analysis is done. The second step in the process exhibits the learning process of the consumers using Robust Adversarial Reinforcement Learning for privacy process among the users. The third step develops optimal strategy plan for the users for maintaining privacy among the users. Considering the uncertainties of the user’s behavioral patterns, typical pricing schemes are involved with integration of renewable energy at the user’ side so that an optimal strategy is obtained. The optimal strategy for scheduling the appliances solving privacy issues and considering renewable energy at user’ side is done using Robust Adversarial Reinforcement learning and Gradient Based Nikaido-Isoda Function which gives an optimal accuracy. The results of the proposed work exhibit optimal strategy plan for the users developing proper learning paradigm. The effectiveness of the proposed work with mathematical modelling are validated using real time data and shows the demand response strategy plan with proper learning access model. The results obtained among the set of strategy develops 80 % of the patterns created with the learning paradigm moves with optimal DR scheduling patterns. This work embarks the best learning DR pattern created for the future set of consumers following the strategy so privacy among the users can be maintained effectively.

ACS Style

S. Sofana Reka; Prakash Venugopal; Hassan Haes Alhelou; Pierluigi Siano; Mohamad Esmail Hamedani Golshan. Real Time Demand Response Modeling for Residential Consumers in Smart Grid Considering Renewable Energy With Deep Learning Approach. IEEE Access 2021, 9, 56551 -56562.

AMA Style

S. Sofana Reka, Prakash Venugopal, Hassan Haes Alhelou, Pierluigi Siano, Mohamad Esmail Hamedani Golshan. Real Time Demand Response Modeling for Residential Consumers in Smart Grid Considering Renewable Energy With Deep Learning Approach. IEEE Access. 2021; 9 ():56551-56562.

Chicago/Turabian Style

S. Sofana Reka; Prakash Venugopal; Hassan Haes Alhelou; Pierluigi Siano; Mohamad Esmail Hamedani Golshan. 2021. "Real Time Demand Response Modeling for Residential Consumers in Smart Grid Considering Renewable Energy With Deep Learning Approach." IEEE Access 9, no. : 56551-56562.

Article
Published: 03 March 2021 in Wireless Personal Communications
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Sleep disorders are common among people in the present lifestyle and this may occur due to irregular sleep patterns. The disordered sleep pattens arise due to various reasons and can be prevented by ensuring a relaxed and deep sleep for everyone. Binaural beats are the stimuli that are set to a particular rhythm and generated to get the required audio frequency to synchronize with the brainwaves. This paper focuses on the effects and analysis of binaural beat response on the brain waves of adults and how they help to induce sleep for an individual. This work highlights the results that were obtained by performing the real time hardware experiments accordingly. The head movement is recorded from the experiment using the readings from the accelerometer and gyroscope sensors which are depicted by the angle coordinates based on two conditions, first when the subjects fall asleep without application of binaural beats and second when minimal frequency of binaural beats are applied close to their ears. Using the real time hardware experiment values, an application is created to differentiate the cases of with and without binaural beats application. In order to validate the real time experiment with an application, a statistical analysis is done from the obtained real time hardware results depicting the sleep pattern by performing corresponding tests.

ACS Style

R. Rishika; Aditya Gupta; Sakshi Sinha; S. Sofana Reka. Sleep Pattern Study with Respect to Binaural Beats Using Sensors and Mobile Application. Wireless Personal Communications 2021, 119, 941 -957.

AMA Style

R. Rishika, Aditya Gupta, Sakshi Sinha, S. Sofana Reka. Sleep Pattern Study with Respect to Binaural Beats Using Sensors and Mobile Application. Wireless Personal Communications. 2021; 119 (1):941-957.

Chicago/Turabian Style

R. Rishika; Aditya Gupta; Sakshi Sinha; S. Sofana Reka. 2021. "Sleep Pattern Study with Respect to Binaural Beats Using Sensors and Mobile Application." Wireless Personal Communications 119, no. 1: 941-957.

Special issue article
Published: 16 October 2020 in Transactions on Emerging Telecommunications Technologies
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The memristor, the fourth fundamental elements have shown the potential to revolutionize the present storage, analog, and digital computational technologies. The ability to remember its previous state in the absence of any stimuli has made the memristor as a prime candidate for nonvolatile memory. However, the sneak path is one of the main problems hampering the implementation of memristor‐based crossbar memories. In this article, we introduce a new crossbar architecture that is capable of storing multibit per cell and eliminates the sneak paths without adding any complex circuitry. The approximate write delay of the proposed memory cell is 20 mS which is very close to the delay of the single bit cell. The proposed architecture was validated by storing four different logic states in each cell of the 4 × 4 memory. Hence, one memory cell of the proposed architecture replaces four cells of the single‐bit memory at the cost of one additional diode per cell. Therefore, the proposed scheme saves considerable area when compared with the conventional single‐bit memory array. The write/read operations are validated by a generic, accurate, and efficient “voltage threshold adaptive memristor” (VTEAM) model. The simulation results prove that the proposed circuitry can read the memory content even after 2000 cycles without any sneak paths problem.

ACS Style

V. Ravi; Shivendra Singh; S. Sofana Reka. Memristor‐based 2D1M architecture: Solution to sneak paths in multilevel memory. Transactions on Emerging Telecommunications Technologies 2020, 32, 1 .

AMA Style

V. Ravi, Shivendra Singh, S. Sofana Reka. Memristor‐based 2D1M architecture: Solution to sneak paths in multilevel memory. Transactions on Emerging Telecommunications Technologies. 2020; 32 (1):1.

Chicago/Turabian Style

V. Ravi; Shivendra Singh; S. Sofana Reka. 2020. "Memristor‐based 2D1M architecture: Solution to sneak paths in multilevel memory." Transactions on Emerging Telecommunications Technologies 32, no. 1: 1.

Review
Published: 04 June 2019 in Energies
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Wireless cellular networks are emerging to take a strong stand in attempts to achieve pervasive large scale obtainment, communication, and processing with the evolution of the fifth generation (5G) network. Both the present day cellular technologies and the evolving new age 5G are considered to be advantageous for the smart grid. The 5G networks exhibit relevant services for critical and timely applications for greater aspects in the smart grid. In the present day electricity markets, 5G provides new business models to the energy providers and improves the way the utility communicates with the grid systems. In this work, a complete analysis and a review of the 5G network and its vision regarding the smart grid is exhibited. The work discusses the present day wireless technologies, and the architectural changes for the past years are shown. Furthermore, to understand the user-based analyses in a smart grid, a detailed analysis of 5G architecture with the grid perspectives is exhibited. The current status of 5G networks in a smart grid with a different analysis for energy efficiency is vividly explained in this work. Furthermore, focus is emphasized on future reliable smart grid communication with future roadmaps and challenges to be faced. The complete work gives an in-depth understanding of 5G networks as they pertain to future smart grids as a comprehensive analysis.

ACS Style

Sofana Reka. S; Tomislav Dragičević; Pierluigi Siano; S.R. Sahaya Prabaharan. Future Generation 5G Wireless Networks for Smart Grid: A Comprehensive Review. Energies 2019, 12, 2140 .

AMA Style

Sofana Reka. S, Tomislav Dragičević, Pierluigi Siano, S.R. Sahaya Prabaharan. Future Generation 5G Wireless Networks for Smart Grid: A Comprehensive Review. Energies. 2019; 12 (11):2140.

Chicago/Turabian Style

Sofana Reka. S; Tomislav Dragičević; Pierluigi Siano; S.R. Sahaya Prabaharan. 2019. "Future Generation 5G Wireless Networks for Smart Grid: A Comprehensive Review." Energies 12, no. 11: 2140.

Article
Published: 30 March 2019 in Wireless Personal Communications
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According to world health statistics 285 million out of 7.6 billion population suffers visual impairment; hence 4 out of 100 people are blind. Absence of vision restricts the mobility of a person to pronounced extent and hence there is a need to build an explicit device to conquer guiding aid to the prospect. This paper proposes to build a prototype that performs real time object detection using image segmentation and deep neural network. Further the object, its position with respect to the person and accuracy of detection is prompted through speech stimulus to the blind person. The accuracy of detection is also prompted to the device holder. This work uses a combination of single-shot multibox detection framework with mobileNet architecture to build rapid real time multi object detection for a compact, portable and minimal response time device construction.

ACS Style

Adwitiya Arora; Atul Grover; Raksha Chugh; S. Sofana Reka. Real Time Multi Object Detection for Blind Using Single Shot Multibox Detector. Wireless Personal Communications 2019, 107, 651 -661.

AMA Style

Adwitiya Arora, Atul Grover, Raksha Chugh, S. Sofana Reka. Real Time Multi Object Detection for Blind Using Single Shot Multibox Detector. Wireless Personal Communications. 2019; 107 (1):651-661.

Chicago/Turabian Style

Adwitiya Arora; Atul Grover; Raksha Chugh; S. Sofana Reka. 2019. "Real Time Multi Object Detection for Blind Using Single Shot Multibox Detector." Wireless Personal Communications 107, no. 1: 651-661.

Journal article
Published: 01 September 2016 in Perspectives in Science
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This paper proposes a cloud computing framework in smart grid environment by creating small integrated energy hub supporting real time computing for handling huge storage of data. A stochastic programming approach model is developed with cloud computing scheme for effective Demand Side Management (DSM) in smart grid. Simulation results are obtained using GUI interface and Gurobi optimizer in Matlab in order to reduce the electricity demand by creating energy networks in a smart hub approach.

ACS Style

S. Sofana Reka; V. Ramesh. Demand side management scheme in smart grid with cloud computing approach using stochastic dynamic programming. Perspectives in Science 2016, 8, 169 -171.

AMA Style

S. Sofana Reka, V. Ramesh. Demand side management scheme in smart grid with cloud computing approach using stochastic dynamic programming. Perspectives in Science. 2016; 8 ():169-171.

Chicago/Turabian Style

S. Sofana Reka; V. Ramesh. 2016. "Demand side management scheme in smart grid with cloud computing approach using stochastic dynamic programming." Perspectives in Science 8, no. : 169-171.