ephina thendral | Anna University (original) (raw)
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Papers by ephina thendral
Lecture notes in networks and systems, Nov 21, 2022
International Journal of Innovative Research in Computer and Communication Engineering, 2014
Cloud computing technology can be utilized in medical domain to make it useful for the humanity b... more Cloud computing technology can be utilized in medical domain to make it useful for the humanity by providing solution for electronically sharing medical images securely over the Internet. The medical image storage in a public cloud or a third party cloud system can mystify the confidentiality and integrity of data. Hence to provide a secure access for the medical images stored in the cloud, we propose a n-server forward re-encryption scheme incorporated with d-dimensional erasure codes. The distributed image storage system not only provides secure image storage but also provides image forwarding and retrieval of images. The key management is done by the key servers thereby reducing the overhead for users. The key aspect of the n-server encoding scheme is the encoding of the encrypted medical images for storage and forwarding or retrieval of those images based on authenticated request. The proposed secure cloud storage system provides secure data storage and secure data forwarding fu...
Data Mining and Knowledge Engineering, 2010
Machine Learning (ML) field of research is almost in many domains, and recently it becomes a powe... more Machine Learning (ML) field of research is almost in many domains, and recently it becomes a powerful and reliable tool in the medical domain. ML is also being used for data analysis, such as detection of regularities from imperfect data. This project proposes a medical care application that is capable identifying and disseminating healthcare information. It extracts sentences from published medical papers that mention diseases and treatments, and identifies semantic relations that exist between diseases and treatments in short text. We also focus on three relations: Cure, Prevent, and Side Effect of a particular disease. Automatic Information Mapping provides the ease way of finding the relevant data among a pool of data.
2015 Seventh International Conference on Advanced Computing (ICoAC), 2015
The advancement of mobile technology has lead to its utilization in the area of learning. The mob... more The advancement of mobile technology has lead to its utilization in the area of learning. The mobile device can be used as a sensor to gain knowledge about the learners' location, learners' context and also the device characteristics like its screen size and network bandwidth. The huge amount of study materials available in the internet makes it difficult for the learner to browse over relevant content at the right time. Hence providing relevant and useful learning content at the right time considering the learners' context is one among the objectives of ubiquitous learning (U-learning) environment. The proposed Android-based U-learning system provides personalized recommendations using Technology Enhanced Learning (TEL) recommender model. The U-learning system is based on hybrid collaborative filtering and is implemented on Hadoop platform with computing done as a MapReduce job. The distributed computing platform adapts to big data based ubiquitous learning recommender system for 21st century learners.
Lecture notes in networks and systems, Nov 21, 2022
International Journal of Innovative Research in Computer and Communication Engineering, 2014
Cloud computing technology can be utilized in medical domain to make it useful for the humanity b... more Cloud computing technology can be utilized in medical domain to make it useful for the humanity by providing solution for electronically sharing medical images securely over the Internet. The medical image storage in a public cloud or a third party cloud system can mystify the confidentiality and integrity of data. Hence to provide a secure access for the medical images stored in the cloud, we propose a n-server forward re-encryption scheme incorporated with d-dimensional erasure codes. The distributed image storage system not only provides secure image storage but also provides image forwarding and retrieval of images. The key management is done by the key servers thereby reducing the overhead for users. The key aspect of the n-server encoding scheme is the encoding of the encrypted medical images for storage and forwarding or retrieval of those images based on authenticated request. The proposed secure cloud storage system provides secure data storage and secure data forwarding fu...
Data Mining and Knowledge Engineering, 2010
Machine Learning (ML) field of research is almost in many domains, and recently it becomes a powe... more Machine Learning (ML) field of research is almost in many domains, and recently it becomes a powerful and reliable tool in the medical domain. ML is also being used for data analysis, such as detection of regularities from imperfect data. This project proposes a medical care application that is capable identifying and disseminating healthcare information. It extracts sentences from published medical papers that mention diseases and treatments, and identifies semantic relations that exist between diseases and treatments in short text. We also focus on three relations: Cure, Prevent, and Side Effect of a particular disease. Automatic Information Mapping provides the ease way of finding the relevant data among a pool of data.
2015 Seventh International Conference on Advanced Computing (ICoAC), 2015
The advancement of mobile technology has lead to its utilization in the area of learning. The mob... more The advancement of mobile technology has lead to its utilization in the area of learning. The mobile device can be used as a sensor to gain knowledge about the learners' location, learners' context and also the device characteristics like its screen size and network bandwidth. The huge amount of study materials available in the internet makes it difficult for the learner to browse over relevant content at the right time. Hence providing relevant and useful learning content at the right time considering the learners' context is one among the objectives of ubiquitous learning (U-learning) environment. The proposed Android-based U-learning system provides personalized recommendations using Technology Enhanced Learning (TEL) recommender model. The U-learning system is based on hybrid collaborative filtering and is implemented on Hadoop platform with computing done as a MapReduce job. The distributed computing platform adapts to big data based ubiquitous learning recommender system for 21st century learners.