Tejaswini H
@sode-edu.in
Assistant Professor
Shri Madhwa Vadiraja Institute of Technology and Management
RESEARCH, TEACHING, or OTHER INTERESTS
Computer Science, Aquatic Science
Scopus Publications
Scholar Citations
Scholar h-index
Scopus Publications
Tejaswini H, Manohara Pai M M, and Radhika M Pai
IEEE
Aquaculture is a growing industry. It would be beneficial to the fish farmers if the data about the fish, such as the ecosystem, food and related information are available to them to increase the fish yield. Most of the fish species data of the aquaculture domain are stored using relational databases. However, the relational tables work well only for structured data. It would help the fishermen if the data can be visualized and provided with a suitable recommendation system that recommends the best species and best ecosystem. In this paper, an approach to store the details of fish species of the brackish water of the west coast of Karnataka, India using Neo4j is presented. Further, a recommendation system to retrieve the best fish species for a particular ecosystem is proposed. The data relating to fish species, names, threatened status, taxonomy, fish species location, type of water they survive in are stored as a connected graph in the Neo4j graph database. This helps the aquatic scientists and aquaculture users visualize the relationship among the fish species and get suitable recommendations on fish species based on their interests. The proposed system is scalable and is capable of processing any complex relationship for providing recommendations.
H. Tejaswini, M. M. Manohara Pai, Radhika M. Pai, Girija Attigeri, and Revathi P. Shenoy
IEEE
Storing the patient's clinical test reports for analysis differs from clinic to clinic as most clinics store the details in customized software or freely available spreadsheets. In the nutrition test report, the test results show the levels, thresholds that doctors analyze and diagnose the type of deficiency. In many situations, the patients have a dilemma about the doctor's advice that results in a second opinion. Hence a simple decision support system is a necessity to help the doctor to analyze the laboratory test report data and prescribe the right treatment. This research proposes a nutrition deficiency decision support framework that models a biochemistry test report using an ontology and automatic nutrition deficiency classification. The resulting system is useful in hospitals for the automatic classification of nutritional deficiency.
H Tejaswini and Radhakrishna Dodmane
IEEE
Rapid growth in the internet usage has contributed to large amount of data or images that are getting transmitted via network. With the purpose of faster delivery of data, especially images such as the one in medical, military, scientific related fields are also transmitted via network in a very large amount. In these cases, protection of confidential images becomes very crucial. The confidential images should not be easily able to be seen by the third party other than the one whom the images are intended to be sent. It becomes very important to encrypt these confidential images before transmission over the network, to prevent unauthorized access. So, a new cascaded encryption system is proposed in this paper for secure image transmission. The proposed cascaded encryption system is based on A5/1 and Pell's algorithms. Here, A5/1 is used for data confidentiality, the Pell's algorithm is used for authentication and the integrity is ensured through correlation. The proposed method shows better results in terms of standard deviation, encryption and decryption without information loss and faster encryption as well as decryption time as benchmark set against cascade encryption with RSA with AES algorithm, RSA with A5/1 algorithms.