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Showing posts with label good indian journals list. Show all posts
Showing posts with label good indian journals list. Show all posts

Tuesday, March 8, 2016

5th NATIONAL CONFERENCE on Computational and Mathematical Sciences | IJSRD


on Computational and Mathematical Sciences

(March 18th & 19th, 2016)

in association with International Journal for Scientific Research & Development (IJSRD}

The Conference proposes to bring together experts, researchers, faculties, students and the leaders of industries for sharing their knowledge and expertise in the field related to Computer and Mathematical Sciences.
We have successfully organized four National Conferences named “COMPUTATIA” since 2011. Following that this year also we are organizing COMPUTATIA-V “Two Days National Conference on Computational and Mathematical Sciences” on March 18th-19th, 2016.

Authors are requested to submit their abstracts in MS WORD file format at email-id: or on or before 9th March, 2016.
The Selected Papers will be published in IJSRD (International Journal for Scientific Research and Development) having ISSN (online): 2321-0613 and Impact Factor: 2.39

Click to Download Registration Form 

Tuesday, December 15, 2015

Problems in Getting Ambulatory Blood Pressure Monitoring using Infrared PPG

Problems in Getting Ambulatory Blood Pressure Monitoring using Infrared PPG


Shailaja Vedpathak , K.B.P.College of engg satara; Dr.B.B.Godbole, K.B.P.College of engg satara


Infrared Light; Photoplethysmograph (PPG), Pulse Rate; Reflectance; Transmittance


In the current study, a non-invasive technique for blood pressure (BP) measurement based on the detection of Photoplethysmographic (PPG) pulses during pressure-cuff deflation was compared to sphygmomanometry—the Korotkoff sounds technique. The PPG Senor used to measure blood pressure using the technique of correlation of volume and pressure. The performance of portable and wearable biosensorsis highly influenced by motion artifact, artery stiffness, measurement sites, light wavelength, sensor pressure, A novel real time system is proposed for accurate motion-tolerant extraction of heart rate (HR) and pulse oximeter oxygen saturation (SpO2) from wearable Photoplethysmographic (PPG) biosensors. Recently, monitoring of blood pressure fluctuation in the daily life is focused on in the hypertension care area to predict the risk of cardiovascular and cerebrovascular disease events. The main problem is using with digital BP monitoring machine is Doctors are not believe on digital machines they believe with only sphygmomanometer. In this paper, in order to propose an alternative system to the existed ambulatory blood pressure monitoring (ABPM) sphygmomanometer, to sort out the problems using small wearable device consisting of photoplethysmograph (PPG) sensors. Recent advances in optical technology have facilitated the use of high-intensity green LEDs for PPG, increasing the adoption of this measurement technique. In this paper, we briefly present the problems of PPG sensor and recent developments in wearable pulse rate sensors with green LEDs.

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Sunday, November 22, 2015

Study of Effect of Climatological Variables on Crop Yeild Estimation Using Multiple Linear Regression #IJSRD

Study of Effect of Climatological Variables on Crop Yeild Estimation Using Multiple Linear Regression

Author(s):  Dr. T. M. V. Suryanarayana , WREMI, The M.S. University of Baroda

Keywords: Climatological Data, Crop Yield, Multiple Linear Regression, R.M.S.E., Coefficient of Correlation


An attempt has been made to carry out the study of determining the predominant climatological variables in estimating the crop yield. The climatological data are collected for the period 1981- 2006 and correlated with yield of cotton in Vallabh Vidyanagar using Multiple Linear Regression. The Climatological variables considered are Maximum Temperature, Minimum Temperature, Relative Humidity, Wind Speed and Sunshine Hours. The multiple linear models have been developed, to study their impact in prediction of the crop yield. The study has been carried out with eight different combinations of the five independent variables considered, to correlate with the crop yield. In each combination, i.e 1 to 8, the whole data is divided into proportions for training and Validation, such as 70% and 30% & 60% and 40% respectively. The developed Multiple Linear Regression Models are evaluated based on the performance indices such as Root Mean Squared Error and Correlation Coefficient. Based on the evaluation, the models developed are found to perform better in 60%-40% proportion of the data considered for the Study. Therefore in this considered proportion of the dataset, the models developed are ranked based on the obtained R.M.S.E. and R. The results clearly show that the consideration of all the variables, yield the best model with minimum R.M.S.E. and maximum R, followed by the combinations considering Maximum Temperature, Minimum Temperature, Relative Humidity as dependent variables along with/without Wind Speed/Sunshine hours. Moreover excluding the Relative Humidity, and trying the combinations of Maximum Temperature, Minimum Temperature along with/without Wind Speed/Sunshine Hours yields the poor models with maximum R.M.S.E. amd Minimum R. Hence considering multiple linear regression models and the eight combinations studied, it reveals that the yield of a crop is very much dependent on maximum and minimum temperatures & relative humidity.

For Full Length Paper :

Friday, February 27, 2015

#IJSRD #New Milestone #Leading E-Journal #India

Thanks 2 all Authors For Making Fastest Growing E-Journal of INDIA.
IJSRD Successfully Completed 24 Issue.
Submission is open For Volume 3 - Issue 1 ,2015
Papers Received - More then 10000
Total Authors- More then 12000
Accepted Papers - More Then 3200