A SCALABLE ONLINE DYNAMIC MONITORING SYSTEM

Dr.Murugeshwari.B; Padmapriya.B; KirupaMano.S; Subang.K

Article Information

Published In Volume 2, Issue 3 (2016)
Publication Date July 28, 2026
Manuscript ID IJCRCST-MARCH16-37
Article Type Research Paper
Pages 626 - 629
6 Views 0 Downloads

Abstract

Context aware monitoring is an emerging technology that provides real-time personalised health-care services and a rich area of big data application. In this paper, we propose a approach to track continuously monitor the Health Records in an unstructured format. The Proposed model facilitates the analysis of big data inside the cloud environment. It first mines the trends and patterns the data of an individual patient with associated probabilities and utilities that knowledge to learn proper abnormal condition. The large amount of data is generated in Ambiant Assisted Living System using AES algorithm. The Proposed technique monitors patient’s Lab report such as BP, Diabetes etc. If the Patient’s report identified as a abnormal then the patient will get warning SMS.

Keywords

Automatic Speech Recognition (ASR) Text-to-Speech (TTS) Human–Computer Interaction Voice Assistant Intelligent Automation

Authors

Dr.Murugeshwari.B

Padmapriya.B

KirupaMano.S

Subang.K

How to Cite this Article

Dr.Murugeshwari.B, Padmapriya.B, KirupaMano.S, Subang.K (2016). "A SCALABLE ONLINE DYNAMIC MONITORING SYSTEM". International Journal of Contemporary Research in Computer Science and Technology, 2(3), pp. 626-629.