Diabetes is a chronic illness that requires continuous medical care and patient self-management education to prevent acute complications and to reduce the risk of long-term complications. This paper deals with study and development of algorithm to develop an initial stage expert system to provide diagnosis to the pregnant women who are suffering from Gestational Diabetes Mellitus (GDM) by means of Oral Glucose Tolerance Test (OGTT).
In the world of evolving technologies the energy like solar or electricity and utilities industry, plays major role includes smart meters and smart grids, which provides companies with exceptional capabilities for forecasting demand, determining customer usage patterns, preventing outages, minimizing the loss and more. Advances in technologies and its usage generates unprecedented data volume, speed and complexity which should be preserved securely for later usage for accurate predictions. Managing the large volume information generated by short-interval reads of smart meter data by various smart devices is a challenge for existing IT resources in storing them and also ensuring the privacy of sensitive customer meter data is also a major issue in smart meter deployments. Security should be provided for data which is stored at
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