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Articles by Sunil Kumar
Total Records ( 5 ) for Sunil Kumar
  Sunil Kumar , Z.F. Bhat and Pavan Kumar
  A study was conducted to evaluate the effect of apple pulp on the quality characteristics of Shrikhand. Various levels of apple pulp viz. 0, 10, 20 and 30 percent were used in the preparation of Shrikhand replacing chakka in the formulation. Further the use of dried ‘Celosia argentea’ (flower part only) as a colouring agent in the preparation of the Shrikhand containing optimum level of the apple pulp was explored. The protein, fat and ash percent of the Shrikhand decreased significantly (p<0.05) whereas moisture content increased significantly (p<0.05) with increasing level of apple pulp. On the basis of various sensory parameters, Shrikhand containing 20% apple pulp and dried Celosia argentea flower was selected as optimum. The product was further packed in polystyrene cups and stored under refrigerated conditions at 4±1°C for a period of three weeks. The mean scores of all the sensory parameters decreased significantly (p<0.05) with storage. Total plate count and psychrophilic count increased significantly (p<0.05) whereas coliforms were not detected throughout the period of storage. Thiobarbituric acid reacting substances (TBARS) values also increased significantly (p<0.05) with storage period. The product was acceptable for a period of three weeks under refrigerated conditions.
  Pramod Kumar Singh , Sunil Kumar , Pavan Kumar and Z.F. Bhat
  Growing awareness and preference of the consumers towards the minimum processed meat with natural sensory and nutritive characteristics leads to the introduction of non thermal techniques for the decontamination of meat. The Pulse Light (PL) and the Pulse Electric Field (PEF) are the latest non thermal techniques employed for decontamination of meat without production of any harmful toxic compounds. These techniques retain the natural freshness, colour and nutritive characteristics of meat in comparison to thermal and heat processing. The present review discusses the PL and PEF techniques in enhancing the storage life of meat.
  V. Gunasekar , Sunil Kumar and V. Ponnusami
  Teak Leaf Powder (TLP) was used as adsorbent for Methylene Blue (MB) adsorption and its kinetics was investigated. Effects of parameters like solution dye concentration, pH, solution temperature, amount of adsorbent and particle size on MB adsorption onto TLP were examined. Methylene blue adsorption onto TLP was favoured at pH greater than its pHzpc, 7.2. Experimental data were found to follow the pseudo second order kinetics. Influence of Temperature (T) and the dimensionless ratio of initial concentration to adsorbent concentration (N) on kinetics of MB adsorption onto TLP were examined using multivariate regression analysis. A quadratic model was proposed to express the kinetic rate constant as a function of these variables. Statistical tools like Student’s t-test, F-test and ANOVA were used to identify the statistical significance of coefficients included in the model. It was found that the main effect of T, main effect of N, the second order effect of T were statistically significant. The model predicted the rate constant with high R2 value 95.3%. It was found that the rate constant decreased with increase in N and increased with increase in T.
  Parvinder Singh Sandhu , Sunil Kumar and Hardeep Singh
  The software industry has been experiencing a software crisis, a difficulty of delivering software within budget, on time, and of good quality. This may happen due to number of defects present in the different modules of the project that may require maintenance. This necessitates the need of predicting maintenance urgency of the particular module in the software. In this paper, we have applied the different predictor models to NASA five public domain defect datasets coded in C, C++, Java and Perl programming languages. Twenty one software metrics of different datasets and Java Classes of thirty five algorithms belonging to the different learner categories of the WEKA project have been evaluated for the prediction of maintenance severity. The results of ten fold cross validation are recorded in terms of Accuracy, Mean Absolute Error (MAE) and Root Mean Squared Error (RMSE) for different project datasets. The results show that logistic model Trees (LMT) and Complimentary Naïve Bayes (CNB) based Model provide a relatively better prediction consistency compared to other models and hence, can be used for the maintenance severity prediction of the software. The developed system can also be used for analysis and to evaluate the influence of different factors on the maintenance severity of different software project modules.
  Sunil Kumar and Nivedita Deo
  We investigate the multifractal properties of the logarithmic returns of the Indian financial indices (BSE & NSE) by applying the multifractal detrended fluctuation analysis. The results are compared with that of the US S&P 500 index. Numerically we find that qth-order generalized Hurst exponents h(q) and τ(q) change with the moments q. The nonlinear dependence of these scaling exponents and the singularity spectrum f(α) show that the returns possess multifractality. By comparing the MF-DFA results of the original series to those for the shuffled series, we find that the multifractality is due to the contributions of long-range correlations as well as the broad probability density function. The financial markets studied here are compared with the Binomial Multifractal Model (BMFM) and have a smaller multifractal strength than the BMFM.
 
 
 
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