An auto-encoder bio medical signal transmission through custom convolutional neural network Usha Muniraju, Thangamuthu Senthil Kumaran Iaes International Journal of Artificial Intelligence, 2024 The transmission of biomedical signals in real-time is extremely difficult and necessitates the use of cloud and internet of things (IoT) infrastructure. Security is also an important consideration, however, to achieve this, a reconstruction method is developed where the entire signal is fed as an input, just the primary portion, the entire signal is taken then encoded, and then deliver to the destination. It is unlocked using a reconstruction technique without any signal attenuation. The key difficulty is how to manage the sensor network once the input is prepared for transmission. This has problems with extremely high network energy consumption and accurate data collection. The accuracy of data reconstruction through is improved by compressive sensing. The lifespan of the network as a whole could be extended, in this study; the proposed proposed system convolutional neural network (PS-CNN) is an integrated model that combines feature selection and auto-encoder. In order to produce the most useful features for particular tasks, our algorithm can eventually separate the appropriate task units from the irrelevant tasks.
Photoplethysmogram signal reconstruction through integrated compression sensing and basis function aware shallow learning Usha Muniraju, Thangamuthu Senthil Kumaran Iaes International Journal of Artificial Intelligence, 2024 The transmission of photoplethysmogram (PPG) signals in real-time is extremely challenging and facilitates the use of an internet of things (IoT) environment for healthcare- monitoring. This paper proposes an approach for PPG signal reconstruction through integrated compression sensing and basis function aware shallow learning (CSBSL). Integrated-CSBSL approach for combined compression of PPG signals via multiple channels thereby improving the reconstruction accuracy for the PPG signals essential in healthcare monitoring. An optimal basis function aware shallow learning procedure is employed on PPG signals with prior initialization; this is further fine-tuned by utilizing the knowledge of various other channels, which exploit the further sparsity of the PPG signals. The proposed method for learning combined with PPG signals retains the knowledge of spatial and temporal correlation. The proposed Integrated-CSBSL approach consists of two steps, in the first step the shallow learning based on basis function is carried out through training the PPG signals. The proposed method is evaluated using multichannel PPG signal reconstruction, which potentially benefits clinical applications through PPG monitoring and diagnosis.
Efficient Certificate Storage and Compression: Optimizing Memory Utilization for Identity Management Using blockchain Manasa C. K, Usha M, Vidya E V, Gangambika G, Swathi R, et al. Proceedings IEEE 2024 1st International Conference on Advances in Computing Communication and Networking Icac2n 2024, 2024 In the digital age, managing and securing identities efficiently is crucial. Traditional methods of certificate storage often encounter problems concerned to security, scalability, and memory utilization. This paper proposes an innovative approach to optimizing memory utilization for identity management by employing blockchain technology combined with linkable ring signatures. Blockchain delivers a decentralized, immutable, and tamper-proof storage solution, ensuring the integrity and security of digital certificates. Linkable ring signatures provide enhanced privacy and traceability, allowing for anonymous yet verifiable transactions. Our objective is to create a robust identity management system with superior security and efficacy while utilizing significantly less RAM by combining these technologies. This method improves identity management system speed across a range of applications in addition minimizing the storage space. This methodology not only maximizes storage but also amplifies the overall performance of identity management systems in various applications.
A Survey on IOT Health Care Networks Usha Muniraju, Thangamuthu Senthil Kumaran 2023 International Conference on the Confluence of Advancements in Robotics Vision and Interdisciplinary Technology Management IC Rvitm 2023, 2023 The Internet of Things (IoT) network comprises many type of smart objects which are the building elements for the creation of physically intelligent, all-pervasive structures. The IoT revolution is restructuring modern health care with well-known technologies and cutting-edge network systems or architectures, applications and industrial developments in IoT-based healthcare. To reduce the security risk, an intelligent collaborative security model is used with various innovations such as big data, wearables, and ambient intelligence can be leveraged in a health care context by addressing various IoT and e-Health policies and regulations around the globe to guage how they can contribute to the sustainable development of societies and economy by providing some ideas for further research on IoT based health-care based on a set of guiding principles. An intelligent collaborative security model is used to reduce security risk with various innovations like big data, wearables, and ambient intelligence can be used in a health care context by addressing different IoT and e-Health policies and regulations around the world to determine how they can help economies and societies in terms of sustainable development by providing some opportunities for further research on IoT based health-care depending on a set of guiding principles. The use of low cost Field Programmable Gate Array (FPGA) platform have grabbed some attention from the community of researchers in the past few years. In this study, we classify all recently published works based on how users can access FPGA design and embedded controller based on Raspberry Pi, Advanced RISC Machines (ARM), and Arduino platforms resources from anywhere from safe healthcare application utilized in IoT. A concept shortens the applications of momentarily unused resource for executing various tasks automatically. Their findings are highlighted, as well as their significant contributions.
Scheduling the Task of User in Cloud computing using Hybrid Procedure of PSO and Lion Algorithm Parameshachari B. D., Usha M, Shwetha N, Mohan B R 2023 IEEE International Conference on Integrated Circuits and Communication Systems Icicacs 2023, 2023 Commonly used for tasks that may be performed on a network of remote servers or “processing units,” cloud computing is a popular platform for executing operations on virtual computers. In both the consumer and the provider realms, task scheduling is an important tool. Finding the best resource to complete a given work is a major challenge for any task scheduler. Thus, the researchers saw job scheduling as one of cloud computing's most basic challenges. Several methods have been proposed by academics to handle the optimization issue that is the optimum determination of scheduling criteria in cloud computing. This work presents a novel hybrid approach that combines the concepts of the Lion Algorithm with the Particle Swarm Optimization-(PSO) algorithm to address the aforementioned optimization problem. The research used both traditional parallel workloads and artificial workloads to perform its tests using the CloudSim toolset. The findings are compared to those produced by other similarly-structured, metaheuristic-based methods tested under the identical circumstances. The promising findings of our simulations suggest that our suggested method has real promise in this area. To reduce the time it takes to submit a particular process in a virtual environment, this study proposes improved versions of the PSO and LA algorithm, subject to user-required budgetary limitations. The results also indicate that, when applied to workflow issues operating on different virtual machines, improved versions of the PSO and LA algorithm outperform the original technique in terms of shorter schedule duration.
RECENT SCHOLAR PUBLICATIONS
An Intelligent Genetic Ant Colony Optimization Approach for Better Lifetime and Good Sensor Agents MS Jayashree, M Usha, GS Pavithra, K Aditya, IM Ramya, ... 2025 International Conference On Emerging Computation and Information … , 2025 2025
Efficient Certificate Storage and Compression: Optimizing Memory Utilization for Identity Management Using blockchain M Usha, EV Vidya, G Gangambika, R Swathi 2024 1st International Conference on Advances in Computing, Communication … , 2024 2024
AI and Big Data A Synergistic Approach to Modern Challenges MSAB Dr.Sudhakar.K, Mrs.Ashwini.T.N, Mrs.Usha.M 2024
An auto-encoder bio medical signal transmission through custom convolutional neural network TS Muniraju, Usha,Kumaran IAES International Journal of Artificial Intelligence (IJ-AI) 13 (2), 1312-1325 , 2024 2024
Photoplethysmogram signal reconstruction through integrated compression sensing and basis function aware shallow learning TS Usha Muniraju IAES International Journal of Artificial Intelligence (IJ-AI) 13 (1), 1063~107 , 2024 2024
Safepathiq: navigating safety through unified iot-driven preventing fires and intelligent evacuation: a survey DKG Usha Muniraju,Chandana AL International Journal For Technological Research in Engineering 11 (5), 2347 … , 2024 2024
REAL-TIME HAND SIGN TRAINING AND DETECTION NPE Usha Muniraju,NITHIN GOWDA H, SANTHOSH M,NANDA KUMAR S International Journal For Technological Research in Engineering 11 (5), 2347 … , 2024 2024
Biometric-Enabled Voting System Design Using IOT KKN Usha Muniraju,Ananya L Patil,Bhayashree Harthi T International Journal For Technological Research in Engineering 11 (4), 2347 … , 2023 2023
A Survey on IOT Health Care Networks U Muniraju, TS Kumaran 2023 International Conference on the Confluence of Advancements in Robotics … , 2023 2023 Citations: 1
Scheduling the task of user in cloud computing using hybrid procedure of PSO and lion algorithm BD Parameshachari, M Usha, N Shwetha, BR Mohan 2023 IEEE international conference on integrated circuits and communication … , 2023 2023 Citations: 8
FACIAL EXPRESSION BASED EMOTION DETECTION SYSTEM FOR ANALYSIS OF SENTIMENTS IN ELDERLY DM Usha M,Basavaraju K N,Bharath Kumar G V, Chandan Gowda S C International Journal of Advanced Research in Computer and Communication … , 2023 2023
Fake news Detection Using Machine Learning DK Prof.Usha M,Lakshmi N S,Lakshmi N, Divyashree P Internal Journal of Advanced Research in Computer and Communication … , 2023 2023 Citations: 2
AI ML Based Virtual Technology Assistance for disabled JMP Prof.Usha M,Anruha Varsha,Haripriya K B Internal Journal of Advanced Research in Computer and Communication … , 2023 2023
A survey on blockchain security for cloud and IoT environment S Ramkrishna, C Srinivas, AP Narasimhaiah, U Muniraju, ... International journal of health sciences 6 (7), 28-43 , 2022 2022 Citations: 9
Patient Data De-identification in Clinical Records Using Deep Learning–Review BR Mohan, M TN Proceedings of the International Conference on Innovative Computing … , 2021 2021
SCLRP-Architecture for Secure Cross-Layer Routing Protocol for Underwater Acoustic Sensor Networks using Fuzzy Logic and Enhanced Algebra Homomorphic Encryption M Usha, R Ashween 2021 Citations: 1
DEVELOPMENT OF VOICE CONTROLLED SMART SYSTEM FOR NON SMART DEVICES USING RASPBERRY PI3b & GOOGLE ASSISTANCE HYK PRAPULLA G,USHA M INTERNATIONAL RESEARCH JOURNAL OF ENGINEERING AND TECHNOLOGY (IRJET) 7 (6 … , 2020 2020
SURVEY ON SMART SYSTEM FOR NON SMART DEVICES USING RASPBERRY PI3b & GOOGLE ASSISTANCE HYK PRAPULLA G,USHA M INTERNATIONAL RESEARCH JOURNAL OF ENGINEERING AND TECHNOLOGY (IRJET) 7 (3 … , 2020 2020
Design and FPGA implementation of non-linear intelligent control for special electric drives KM Arun Prasad, N Usha Cochin University of Science and Technology , 2019 2019 Citations: 2
Amplified Trickle Algorithm in Routing Protocol for Low Power Lossy Networks for Internet of Things KT Archana, DM Usha, S Lavanya Proceedings of the International Conference on Intelligent Computing Systems … , 2017 2017
MOST CITED SCHOLAR PUBLICATIONS
Anomaly based intrusion detection for 802.11 networks with optimal features using SVM classifier M Usha, P Kavitha Wireless Networks 23 (8), 2431-2446 , 2017 2017 Citations: 85
A survey on blockchain security for cloud and IoT environment S Ramkrishna, C Srinivas, AP Narasimhaiah, U Muniraju, ... International journal of health sciences 6 (7), 28-43 , 2022 2022 Citations: 9
Scheduling the task of user in cloud computing using hybrid procedure of PSO and lion algorithm BD Parameshachari, M Usha, N Shwetha, BR Mohan 2023 IEEE international conference on integrated circuits and communication … , 2023 2023 Citations: 8
A survey on key management in Internet of Things S Lavanya, DM Usha Proceedings of the International Conference on Intelligent Computing Systems … , 2017 2017 Citations: 4
Fake news Detection Using Machine Learning DK Prof.Usha M,Lakshmi N S,Lakshmi N, Divyashree P Internal Journal of Advanced Research in Computer and Communication … , 2023 2023 Citations: 2
Design and FPGA implementation of non-linear intelligent control for special electric drives KM Arun Prasad, N Usha Cochin University of Science and Technology , 2019 2019 Citations: 2
A Survey on IOT Health Care Networks U Muniraju, TS Kumaran 2023 International Conference on the Confluence of Advancements in Robotics … , 2023 2023 Citations: 1
SCLRP-Architecture for Secure Cross-Layer Routing Protocol for Underwater Acoustic Sensor Networks using Fuzzy Logic and Enhanced Algebra Homomorphic Encryption M Usha, R Ashween 2021 Citations: 1
An Intelligent Genetic Ant Colony Optimization Approach for Better Lifetime and Good Sensor Agents MS Jayashree, M Usha, GS Pavithra, K Aditya, IM Ramya, ... 2025 International Conference On Emerging Computation and Information … , 2025 2025
Efficient Certificate Storage and Compression: Optimizing Memory Utilization for Identity Management Using blockchain M Usha, EV Vidya, G Gangambika, R Swathi 2024 1st International Conference on Advances in Computing, Communication … , 2024 2024
AI and Big Data A Synergistic Approach to Modern Challenges MSAB Dr.Sudhakar.K, Mrs.Ashwini.T.N, Mrs.Usha.M 2024
An auto-encoder bio medical signal transmission through custom convolutional neural network TS Muniraju, Usha,Kumaran IAES International Journal of Artificial Intelligence (IJ-AI) 13 (2), 1312-1325 , 2024 2024
Photoplethysmogram signal reconstruction through integrated compression sensing and basis function aware shallow learning TS Usha Muniraju IAES International Journal of Artificial Intelligence (IJ-AI) 13 (1), 1063~107 , 2024 2024
Safepathiq: navigating safety through unified iot-driven preventing fires and intelligent evacuation: a survey DKG Usha Muniraju,Chandana AL International Journal For Technological Research in Engineering 11 (5), 2347 … , 2024 2024
REAL-TIME HAND SIGN TRAINING AND DETECTION NPE Usha Muniraju,NITHIN GOWDA H, SANTHOSH M,NANDA KUMAR S International Journal For Technological Research in Engineering 11 (5), 2347 … , 2024 2024
Biometric-Enabled Voting System Design Using IOT KKN Usha Muniraju,Ananya L Patil,Bhayashree Harthi T International Journal For Technological Research in Engineering 11 (4), 2347 … , 2023 2023
FACIAL EXPRESSION BASED EMOTION DETECTION SYSTEM FOR ANALYSIS OF SENTIMENTS IN ELDERLY DM Usha M,Basavaraju K N,Bharath Kumar G V, Chandan Gowda S C International Journal of Advanced Research in Computer and Communication … , 2023 2023
AI ML Based Virtual Technology Assistance for disabled JMP Prof.Usha M,Anruha Varsha,Haripriya K B Internal Journal of Advanced Research in Computer and Communication … , 2023 2023
Patient Data De-identification in Clinical Records Using Deep Learning–Review BR Mohan, M TN Proceedings of the International Conference on Innovative Computing … , 2021 2021
DEVELOPMENT OF VOICE CONTROLLED SMART SYSTEM FOR NON SMART DEVICES USING RASPBERRY PI3b & GOOGLE ASSISTANCE HYK PRAPULLA G,USHA M INTERNATIONAL RESEARCH JOURNAL OF ENGINEERING AND TECHNOLOGY (IRJET) 7 (6 … , 2020 2020
