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Pratheepa, R.
- Glycemic Response of Whey Water Incorporated Idli
Abstract Views :224 |
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Authors
Affiliations
1 Department of Home Science, Women’s Christian College, Chennai-600006, IN
1 Department of Home Science, Women’s Christian College, Chennai-600006, IN
Source
The Indian Journal of Nutrition and Dietetics, Vol 50, No 11 (2013), Pagination: 465-472Abstract
Non communicable diseases are a leading threat to health and development. Diabetes mellitus is a metabolic disorder of multiple etiology characterized by chronic hyperglycemia with disturbances of carbohydrate, fat and protein metabolism resulting from defects in insulin secretion, insulin action or both. Diabetes is one of four priority non-communicable diseases identified by the World Health Organization and the others include cancer, cardiovascular disease and chronic respiratory disease.References
- International Diabetes Federation, IDF Clinical guidelines task force. Global guideline for type 2 diabetes, Brussels, International Diabetes Federation, 2005.
- Geoffery W. Smitters, Global Burden of Diabetes, 1995–2025: Prevalence, Numerical Estimates and Projections, American Dietetic Association, 2008.
- Frid, A.H., Nilsson, M., Holst, J.J. and Bjorck, I.M. Effect of whey on blood glucose and insulin responses to composite breakfast and lunch meals in type 2 diabetic subjects. Am. J. Clin. Nutr., 2005, 82, 69-75.
- Anbarasu, K., Dhanappriya, R., Raman, D., Rajeswary, H. and Sivakumar, P. In vivo Study of antidiarrhoeal activity of dairy waste whey. Asian J.Pharmaceut. Clin. Res., 2012, 5.
- World Health Organization: Definition Diagnosis and Classification of Diabetes Mellitus, Department of Non Communicable Diseases Surveillance, Report of a WHO Consultation, Geneva, 1999.
- Östman, E.M., Elmstahl, H.G.M.L. and Björck, I.M.E. Inconsistency between glycemic and insulinemic responses to regular and fermented milk products. Am. J. Clin. Nutr., 2001, 74, 96–100.
- Nilsson, M., Stenberg, M., Frid, A.H., Holst, J.J., Björck, I.M.E. Glycemia and insulinemia in healthy subjects after lactose equivalent meals of milk and other food proteins: the role of plasma amino acids and incretins. Am. J. Clin. Nutr., 2004, 80, 1246–1253.
- Spectrum Sensing based on Energy Detection using MATLAB_Simulink
Abstract Views :178 |
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Authors
Affiliations
1 Department of Electronics and Communication Engineering, School of EEE, SASTRA University, Thanjavur - 613401, Tamil Nadu, IN
1 Department of Electronics and Communication Engineering, School of EEE, SASTRA University, Thanjavur - 613401, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 8, No 29 (2015), Pagination:Abstract
Spectrum sensing is the major tasks of cognitive radio for utilizing spectrum resources efficiently thereby identifying and making use of spectrum holes is the objective of sensing. Energy detection technique is adopted to compare the performance of different modulated signals in poor and good SNR. Probability of detection and false alarm are the metrics used to identify the number of primary users over a bandwidth of 5MHz. False alarm is kept constant to increase the detection probability. Simulink model for detections based on FFT and Welch periodogram are implemented. Modulated signals having high data rates can occupy more number of users thereby increasing the usage of spectrum. Also increase in noise should not affect the detection of primary users and reduce the probability of misdetection. Receiver operating characteristic curve is used to analyze the detections with respect to false alarm probability for different ranges of SNR. Noise uncertainty and SNR wall which can limit the performances are also taken into consideration. A unique approach to energy detection based on FFT shows increase in the sensing in the form of spectrum estimation with four primary users and the noise is assumed to be additive white Gaussian. Neyman Pearson hypothesis is considered for determining the presence and absence of users. Noise is the factor which decreases the performance of energy detector in case of blind sensing which can be limited with the help of highly modulated signals. The growing demand for spectrum makes cognitive radio an important technology to be focused in which the sensing process can reduce the interference caused to the primary users.Keywords
Energy Detection, FFT, Modulation Techniques, Spectrum Sensing, Welch Periodogram- A Novel Approach for Contrast Enhancement using Image Classification and Subdivision based Histogram Equalization
Abstract Views :205 |
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Authors
Affiliations
1 Department of Electronics and Communication Engineering, School of EEE, SASTRA University, Thanjavaur – 613401, Tamil Nadu, IN
1 Department of Electronics and Communication Engineering, School of EEE, SASTRA University, Thanjavaur – 613401, Tamil Nadu, IN