Intensifying the Security of Multiomodal Biometric Authentication System using Watermarking

In Multimodal biometrics system two or more biometric attributes are combined which makes it far more secure than unimodal system as it nullifies all the vulnerabilities of it. But with the prompt ontogenesis of information technology, even the biometric data is not secure. There is one such technique that is implemented to secure the biometric data from inadvertent or deliberate attacks is known as Digital watermarking. This paper postulate an approach that is devise in both the directions of enlarging the security through watermarking technique and improving the efficiency of biometric identification system by going multimodal. Three biometric traits are consider in this paper two of them are physical traits i.e. ; face, fingerprint and one is behavioral trait (signature).The biometric traits are initially metamorphose using Discrete Wavelet and Discrete Cosine Transformation and then watermarked using Singular Value Decomposition. Scheme depiction and presented results rationalize the effectiveness of the scheme

Efficiency of Indian Commodity Market: A Survey of Brokers’ Perception

The present study documents the finding of a survey of brokers’ perception pertaining to the recently introduced commodity derivatives market in India. The survey results show the brokers’ assessment about trading/marketing activities and their perception of the benefits and concerns about commodity derivatives. It also throw some light on the perception of brokers about the efficiency of Indian commodity derivatives in performing the functions of price discovery, hedging effectiveness and volatility dynamics. The survey results show that high net worth individual are contributing significantly in the trade volume of commodity derivatives. Interestingly, retail investors are also emerged as the significant contributor in total turnover of brokers. Survey results exhibit that price discovery and hedging effectiveness functions are well performed by all the commodity futures except the energy commodities futures. Energy commodities, being the most volatile commodities, are perceived as having less hedging effectiveness as compared to others. Brokers are assenting on the high to moderate impact of open interest, volume and time to maturity on the volatility of the commodity futures derivatives

Combining ability and heterosis analysis for fibre yield and quality parameters in roselle (Hibiscus sabdariffa L.)

Roselle (Hibiscus sabdariffa L.) is second important bast fibre crop after jute in India. With an aim to ex-ploit non-additive genetic variance present experiment was designed to identify good general combining parents and specific cross combination for fibre yield and fibre quality parameters (fibre fineness, fibre tenacity) in roselle. A total of 11 parents were crossed in complete diallel fashion which resulted 55 F1, 55 RF1 (reciprocal F1). Parents, F1s and RF1s were grown in randomized block design. Analysis of variance revealed significant differences (P< 0.01, P<0.05) among the parents and their hybrids. The parents AMV 1, AMV 5, GR 27 and AHS 160 were identified as good combiners since they recorded significant general combining ability (GCA) effects for fibre yield and quality parameters. Further, For fibre yield only three crosses (AMV 1 × AMV 4, AMV 1 × GR 27, HS 4288 × JRR 07) showed significant specific combining ability (SCA) effects from them hybrid AMV 1 × GR 27 (fibre yield=27.37g/ plant) exhibited positively significant best parent (Non bris 4, Mean fibre yield=21.16g/plant) heterosis (29.35%). Similarly, for fibre tenacity, hybrid GR 27 × JRR 07 (fibre tenacity=23.47g/tex) exhibited positively significant best parent (HS 4288; fibre tenacity=20.35g/tex) heterosis (15.30%)

<span style="font-size:12.0pt;line-height: 115%;font-family:"Times New Roman","serif";mso-fareast-font-family:"Times New Roman"; mso-ansi-language:EN-IN;mso-fareast-language:EN-IN;mso-bidi-language:HI" lang="EN-IN">Studies of structural and electrical behaviour of Pb(Mg_1/4Zn_1/4Mo_1/2)O₃ ceramics</span>

783-787Polycrystalline samples of Pb (Mg1/4Zn1/4Mo1/2)O3 (PMZM) have been prepared by a solid-state reaction technique. Preliminary X-ray studies show the formation of the single-phase PMZM compound with orthorhomhic structure. SEM study shows the uniform distribution of spherical grains in the samples. Detailed studies of dielectric constant (ɛ) and loss tangent (tan δ) are carried out as a function of temperature (-150-250oC) at 10 kHz and also as a function of frequency (1-10 kHz).Observations of a strong dielectric anomaly as a ferroelec tric phase transition at 30oC are supported by the polarisation study. Variation of dc resistivity of the material with temperature shows semiconducting behaviour, usually called NTC ( negative temperature coefficient) resistor

Awareness, treatment adherence and risk predictors of uncontrolled hypertension at a tertiary care teaching hospital in Western India

Introduction: Hypertension still remains poorly controlled. Result: Adequate BP control was achieved in 37.4% of patients and significant attributes for poor control were BMI, marital status, literacy, socioeconomic status, smoking, medication adherence, absence of side effects, number of drugs, number of years on drug therapy and co-morbid conditions

An Observational study of prehospital and hospital delay in reperfusion for acute myocardial infarction at a University Hospital in India

Objective: Cardiovascular disease is the leading cause of death among Indian adults, and approximately 50% of deaths usually occur during the 1st hour after symptom onset before arriving at the hospital. A study was planned to evaluate the prehospital and hospital delay in patients with acute myocardial infarction (AMI). Methods: This was a prospective observational study of 390 patients with AMI admitted to the Department of Cardiology between March 2014 and August 2015. Detailed patient demographics, socioeconomic status, and prehospital and hospital delay were reviewed. Results: The mean age of presentation for male and female was 57 ± 12.91 and 61.5 ± 12.83 years, respectively. The mean prehospital delay, time to act after chest pain, and travel time were 9.08 ± 6.3, 7.16 ± 6.1, and 1.84 ± 0.8 h, respectively, and only three (9.7%) patients reached the hospital within 2 h after symptom onset. Out of 300 patients who received reperfusion therapy, thrombolysis was done in 276 (92%) patients while primary percutaneous coronary intervention was performed in only 24 (8%) patients. Mean door-to-needle (D-N) time and door-to-device time for those who received reperfusion therapy were 27.8 ± 4.3 and 78.95 ± 9.5 min, respectively. A multivariate logistic regression analysis revealed that the prehospital delay was significantly associated with older age, female sex, rural background, diabetes, having atypical pain, and lack of knowledge regarding the seriousness of chest pain. Conclusion: Approximately 79% of total prehospital delay was due to patient-related factors; old age, female sex, rural background, diabetes, atypical angina, and lack of knowledge being the significant attributes. D-N time and door-to-device time were within the limits of those recommended by current guidelines

CSmetaPred: a consensus method for prediction of catalytic residues

Abstract Background Knowledge of catalytic residues can play an essential role in elucidating mechanistic details of an enzyme. However, experimental identification of catalytic residues is a tedious and time-consuming task, which can be expedited by computational predictions. Despite significant development in active-site prediction methods, one of the remaining issues is ranked positions of putative catalytic residues among all ranked residues. In order to improve ranking of catalytic residues and their prediction accuracy, we have developed a meta-approach based method CSmetaPred. In this approach, residues are ranked based on the mean of normalized residue scores derived from four well-known catalytic residue predictors. The mean residue score of CSmetaPred is combined with predicted pocket information to improve prediction performance in meta-predictor, CSmetaPred_poc. Results Both meta-predictors are evaluated on two comprehensive benchmark datasets and three legacy datasets using Receiver Operating Characteristic (ROC) and Precision Recall (PR) curves. The visual and quantitative analysis of ROC and PR curves shows that meta-predictors outperform their constituent methods and CSmetaPred_poc is the best of evaluated methods. For instance, on CSAMAC dataset CSmetaPred_poc (CSmetaPred) achieves highest Mean Average Specificity (MAS), a scalar measure for ROC curve, of 0.97 (0.96). Importantly, median predicted rank of catalytic residues is the lowest (best) for CSmetaPred_poc. Considering residues ranked ≤20 classified as true positive in binary classification, CSmetaPred_poc achieves prediction accuracy of 0.94 on CSAMAC dataset. Moreover, on the same dataset CSmetaPred_poc predicts all catalytic residues within top 20 ranks for ~73% of enzymes. Furthermore, benchmarking of prediction on comparative modelled structures showed that models result in better prediction than only sequence based predictions. These analyses suggest that CSmetaPred_poc is able to rank putative catalytic residues at lower (better) ranked positions, which can facilitate and expedite their experimental characterization. Conclusions The benchmarking studies showed that employing meta-approach in combining residue-level scores derived from well-known catalytic residue predictors can improve prediction accuracy as well as provide improved ranked positions of known catalytic residues. Hence, such predictions can assist experimentalist to prioritize residues for mutational studies in their efforts to characterize catalytic residues. Both meta-predictors are available as webserver at: http://14.139.227.206/csmetapred/