Thinagaran Perumal

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The smart home environment is highly characterized by heterogeneity with many systems that need to interoperate and perform their tasks efficiently. With rapid growth of services, applications and devices in smart home environment, the interoperability factor seems still elusive. This is due to the nature of smart home as distributed architecture that needs(More)
Recent advancements in computing and communication technologies have increased the growth of heterogeneous subsystems in smart home environment. However, many of these heterogeneous systems are standalone and do not adapt towards joint execution of tasks. Hence, it is rather difficult to perform interoperation especially to realize desired services(More)
Recent advances in computing and communication technologies paved the growth for applications and devices in smart home environment. A typical smart home is highly characterized by heterogeneity elements that need to perform joint execution of tasks in an efficient manner. Although there are huge growth of services, applications and devices in smart home(More)
This paper describes the development of an embedded smart home management scheme over the Ethernet network. The platform of the smart home management system is built using bespoke embedded system design. An embedded control module developed by exploiting the Web Services mechanism, consist of 15 monitoring channels based on XML SOAP standards. Each channel(More)
This study addresses for applying data-mining techniques in diabetes research which gives a rational insight to model predicate patterns that can forecast incidence of Diabetes Mellitus disease (DMD) in human race. Clinical Patient records and Pathological test reports inherently represent data sets which may be applied to data mining for diabetes research.(More)
This prospective, randomized, double-blinded study evaluated the effect of the timing of ondansetron administration on its antiemetic efficacy in children undergoing elective strabismus surgery. One hundred and twenty children aged one to 15 years, ASA physical status 1 or 2, were randomly allocated to receive intravenous ondansetron 100 micrograms/kg(More)
Data mining now-a-days plays an important role in prediction of diseases in health care industry. Data mining is the process of selecting, exploring, and modeling large amounts of data to discover unknown patterns or relationships useful to the data analyst. Medical data mining has emerged impeccable with potential for exploring hidden patterns from the(More)