Spectral decision analysis and evaluation in an experimental environment for cognitive wireless networks

Cloud computing as the modern technology that generates, processing, storing, and sharing of medical data has evolved significantly. The health industry has made a lot of progress in transforming its data management activities, from regular storage to the digitalization of health care data. Cloud computing impacting based on lowering of costs, availability of resources, and power. moreover patient has the right or ownership of data in-the-cloud virtualization technology. Keeping the data of the patient in the cloud also facilitates interoperability between the various sectors of the health-care sector-pharmacy, insurance, and payments. Cloud offers virtual hardware, runtime settings, and facilities for those with a credit card. Cloud infrastructure has become a common term for reference to various devices, resources, and concepts. The proposed framework provides a simulated migration approach that is complex and energy-intensive. By activating idle physical machinery mode, this mechanism reduces the power to conserve electricity. This study suggests a modern cloud-based Health care services paradigm for optimizing VM migration utilizing Parallel Particle Swarm Optimization (PPSO). To measure the performance of our VMs model, a new model for health care service is also provided. The findings reveal that, in the overall deployment period, the new model approaches 60% of the state-of-the-art implementations. Furthermore, device performance is increased by 6.2% for demanded data in real-time. Furthermore, the accuracy of the smart hybrid model of resource utilization is 96.8%. In all associated activities, the suggested model is 67% better than other referred versions.

Hybrid optimization for virtual machine migration of utilizing healthcare text in the cloud

Privacy and Trust Models for Cloud-Based EHRs Using Multilevel Cryptography and Artificial Intelligence

Measurement of Thermal Properties and Numerical Simulation of Temperature Distribution in Laser-assisted Machining of Glass-ceramic

Optimization of Machining Parameters in Turning of Hastelloy C-276 by Considering Machinability and Chip Morphology Characteristics

The adaptation of data and resource sharing in health care is more popular and maintaining of Electronic Health Records (EHR) is efficient to doctors and patients. Nowadays storing of health records in cloud environment is more popular and low cost with scalable of data to access. But the security of those data assurance will be less in current technology. Health care started using a storing of data in cloud with minimal level of security. We propose method to provide data security and access control to the constraints patients or doctors to access the data using encryption of unique identification. We introduce a multi-user encryption with authorization.

Pradeep kumar

Papers

Design of EHR in Cloud with Security

Effect of Laser Process Parameters on Laser Assisted Machining Of Inconel 718: Statistical – Regression Analyses

Predictive Modeling Of Laser Assisted Hybrid Machining Parameters Of Inconel 718 Alloy Using Statistical And Artificial Neural Network

Hybrid spectrum access in a cognitive radio-enabled cooperative device-to-device network