Dr. Seena Naik Korra
@sru.edu.in
Department of CSE
SR University, Warangal
Scopus Publications
Scopus Publications
P.A. Harsha Vardhini, S.Shiva Prasad, and Seena Naik Korra
IEEE
Computational intelligence deals with the development and application of computational models and simulations, often coupled with high performance computing, to solve complex physical problems arising in engineering analysis and design as well as natural phenomena. COVID-19 is a coronavirus-induced infectious disease. Most people worldwide got infected with this virus and became mild to moderately ill with respiratory related problems. Most infected individuals who experienced mild to moderate illness/disease and without hospitalization recovered. Yet older people with underlying medical conditions are more likely to experience severe diseases, such as cardiovascular disease, diabetes, chronic respiratory disease, and cancer. As specific vaccine or treatment for COVID-19 is not yet prescribed, it is a tough task to prescribe a common medicinal procedure. There are many ongoing clinical trials evaluating potential treatments. This work presents an application that allots medicines to the one who tested positive. This proceeds after checking patients medical data which include BP, diabetes, cancer, alcoholic habits etc.,. Variations in the patient data originated from various sources with several medical concerns with different specifications is useful in evaluating and allotting proper medical course for COVID-19 patient treatment. Number of attributes are used in creating the database. Different ages are categorized and the corresponding treatment will be prescribed based on the age category and the medical history of the patient. Missing data values can affect the data sets and the performance of data mining system. This work presents clustering methods which is a method of unsupervised learning and common technique for statistical data analysis. Various clustering algorithms with test samples are carried out for medicine allotment based on age category, symptoms and medical history to evaluate the respective accuracy score.
Kothandaraman D., A. Harshavardhan, V. Manoj Kumar, D. Sunitha, and Seena Naik Korra
Elsevier BV
Bura Vijay Kumar, Seena Naik Korra, N Swathi, D. Kothandaraman, Nagender Yamsani, and Yerrolla Chanti
IOP Publishing
S Venkatesulu, E Sudarshan, Seena Naik Korra, D Raghava Kumari, Bonthala Prabhanjan Yadav, and K Mahender
IOP Publishing
E Sudarshan, Seena Naik Korra, KM Prof. Rajasekharaiah, S Venkatesulu, and A Harshavardhan
IOP Publishing
Ravikumar Thallapalli, G. Narasimha, Seena Naik Korra, K Ravi Kiran, and P. Pallavi
IOP Publishing
Bhavana Jamalpur, Seena Naik Korra, Vijaya Prakash Rajanala, E Sudarshan, and Bonthala Prabhanjan Yadav
IOP Publishing
A Balasundaram, S Ashokkumar, D Kothandaraman, SeenaNaik kora, E Sudarshan, and A Harshaverdhan
IOP Publishing
Seena Naik Korra, E Sudarshan, S Venkatesulu, P Pramod Kumar, and Bonthala Prabhanjan Yadav
IOP Publishing
Yerrolla Chanti, Seena Naik Korra, Bandi Bhaskar, A. Harshavardhan, and V Srinivas
IOP Publishing
Bonthala Prabhanjan Yadav, Ch. Shiva Sai Prasad, Ch Padmaja, Seena Naik Korra, and E Sudarshan
IOP Publishing
D Kothandaraman, A Balasundaram, SeenaNaik Korra, E Sudarshan, and B Vijaykumar
IOP Publishing
S. Magesh Kumar, V. Auxilia Osvin Nancy, A Balasundaram, Seena Naik korra, D Kothandaraman, and E Sudarshan
IOP Publishing
Internet of Things (IoT) is a fast- growing technology in on-going research field that includes wireless sensor networks, cloud computing, big data analytics, ubiquitous computing, distributed decentralized systems, pervasive computing, embedded systems, mobile computing, machine learning etc. The above mentioned fields are mainly connected with IoT smart portable devices such as smartphones, home appliances, healthcare device, smart vehicle devices automation industry devices, etc. Though IoT enabled devices has been increased in many fields, the industries still faces many problem with connectivity issues because of several factors like mobility nature of devices; limited processing power and resource availability which includes energy, bandwidth constraints, routing cost and end to end delay; communication between node to node via intermediate mobile nodes towards destination may also fail links frequently, there by affecting the network performance. These limitations of existing topology based on reactive tree and mesh based routing protocols create challenging task while designing an optimized stable routing algorithm for IoT. In such a situation, resource optimization is an essential task to be performed by the IoT networks. In the proposed work resource optimization was done by Designed Optimized Multicast Routing Algorithm (DOMRA) for IoT. The DOMR algorithm implemented has route discovery process with nodes positions, directions of nodes, velocities of nodes, and then the path stability bases to overcome the connectivity issues. The proposed algorithm focusing to deploy various real time IoT enabled applications such as smart home automation, smart cites, smart agriculture, automation industry etc. To finalize the simulation results shows maximized system throughput, goodput, packet delivery ratio, network lifetime, network routing performance and reduced control overheads. The proposed algorithm hence produced better routing performance when compared with other existing algorithm in wireless networks.
LiFi attocell get to systems will be conveyed wherever to help different applications and administration provisioning to different end-clients. The LiFi foundation suppliers should offer LiFi passages (APs) assets as an administration. This, be that as it may, requires an exploration test to be fathomed to progressively and adequately allot assets amonspecialist co-ops (SPs), while ensuring execution detachment among them and their separate clients. This paper presents an autonomic asset cutting (virtualization) conspire, which acknowledges autonomic administration and setup of virtual APs, in a LiFi Attocell get to arrange, in light of SP’s and their clients benefit necessities. The proposed asset cutting plan gathers and breaks down the movement insights of the distinctive applications upheld on the cuts characterized in each LiFi AP and appropriates the accessible assets reasonably and relatively among them. It utilizes a control calculation to change the base conflict window of client gadgets to accomplish the objective throughput and guarantee broadcast appointment decency among SP’s and their clients.
There are some multinational companies available in the market to provide cloud services such as Amazon Web Services, Microsoft Azure, and IBM Smart Cloud and so on. Nowadays an organization need to work on different technologies, it need not to install the technologies, it can simply acquire the technology available in online as a service.It is the best practice in the cloud based services that it allows the users to make their own exceptional unprecedented virtual images and share them to with various customers in a comparative cloud. Close to these customer shared virtual pictures, the cloud serviceproviders will in like manner give the virtual pictures that have been preconfigured with open source database and web server to orchestrate our stray pieces. In this paper, we had made an examination to check the general security risks related with the usage of virtual machine pictures from the uninhibitedly available inventories of cloud master affiliations. In adjusted, we had managed the open standard virtual pictures that are existed on the Amazon EC2 association. We analyzed the security issues of the virtual pictures which are available on the Amazon EC2 Cluster as the open AMI (Amazon Machine Images).
K. Seena Naik, G. A. Ramachandra, and M. V. Brahmananda Reddy
Springer International Publishing
Many energy-aware routing protocols take into account the residual battery power in sensor nodes or/and the energy required for transmission along the path. In the deployment of an environmental sensor network, we observed that applications may also impose requirements on routing, thus placing higher demands on protocol design. We demonstrated our approach to this issue through FloodNet, a flood warning system, which uses a predictor model developed by environmental experts to make flood predictions based on readings of water level collected by a set of sensor nodes. Because the model influences the node reporting frequency, we proposed the FloodNet adaptive routing (FAR) which transmits data across nodes with ample en- ergy and light reporting tasks whilst conserving energy for others low on battery power and heavily required by the monitoring task. As a reactive protocol, FAR is robust to topology changes due to moving obstacles and transient node failure. We evaluate the FAR performance through simulation, the result of which corresponds with its anticipated behavior and improvements.