Publications by sukumar dandapat
C. tamala leaves are mainly used for flavouring food and spice due to clove like taste and pepper... more C. tamala leaves are mainly used for flavouring food and spice due to clove like taste and pepper like odour. The
plant leaves are widely used in pharmaceutical preparation because of therapeutic efficacy against various diseases
and disorders due to presence of different phytochemicals. The leaves were analysed for ash content, moisture, crude
fat, crude fibre, crude carbohydrate, crude protein and different phytochemical content. The results for percentage of
ash content, moisture content, crude fibre, carbohydrate, crude fat and protein were 9.6 ± 1.12, 50.50 ± 1.0, 30.5 ±
0.6, 9.5 ± 0.5, 6.0 ± 0.5 and 8.5 ± 0.18 % respectively. The nutritive value was 143.5 ± 0.53 Kcal/ 100g. The leaf
sample was assessed for quantitative and qualitative phytochemical composition. Among the phytochemicals poly
phenols was highest (16.7 ± 0.7 g/100g) and flavonoid content was lowest (1.0 ± 0.31 g/100g).
Antipathogenic efficacy of methanolic leaf extract of Cinnamomum tamala (Buch.-Ham.) and Aegle ma... more Antipathogenic efficacy of methanolic leaf extract of Cinnamomum tamala (Buch.-Ham.) and Aegle marmelos
(L.) through inhibiting the growth of Staphylococcus aureus (MTCC 3160), Salmonella typhi (MTCC 3216) and
Proteus mirabilis (MTCC 7837) the causative pathogens of food poisoning, boils, abscesses, wound infection,
pneumonia, toxic shock syndrome, typhoid fever, urethitis, cystitis, pylonephritis and prostatitis has been
investigated. All the strains were affected by methanolic leaf extract of C. tamala and A. marmelos in agar diffusion
method and broth dilution method. The MIC values in agar diffusion method were 2.5 mg/mL against S. aureus
for extract of both plants and 5 mg/mL, 1.25 mg/mL, against P. mirabilis for the extract of C. tamala and A.
marmelos respectively. The MIC values in broth dilution method were 2.5 mg/mL against S.aureus for both plants
extract, 4 mg/mL, 1 mg/mL against P.mirabilis and 9 mg/mL, 10 mg/mL against S. typhi for C. tamala and A.
marmelos respectively. The nutritional value, phytochemical contents and inorganic substance content of C.
tamala is higher than A. marmelos.
Papers by sukumar dandapat
International Journal of Speech Technology, 2010
This paper presents the feature analysis and design of compensators for speaker recognition under... more This paper presents the feature analysis and design of compensators for speaker recognition under stressed speech conditions. Any condition that causes a speaker to vary his or her speech production from normal or neutral condition is called stressed speech condition. Stressed speech is induced by emotion, high workload, sleep deprivation, frustration and environmental noise. In stressed condition, the characteristics of speech signal are different from that of normal or neutral condition. Due to changes in speech signal characteristics, performance of the speaker recognition system may degrade under stressed speech conditions. Firstly, six speech features (mel-frequency cepstral coefficients (MFCC), linear prediction (LP) coefficients, linear prediction cepstral coefficients (LPCC), reflection coefficients (RC), arc-sin reflection coefficients (ARC) and log-area ratios (LAR)), which are widely used for speaker recognition, are analyzed for evaluation of their characteristics under stressed condition. Secondly, Vector Quantization (VQ) classifier and Gaussian Mixture Model (GMM) are used to evaluate speaker recognition results with different speech features. This analysis help select the best feature set for speaker recognition under stressed condition. Finally, four VQ based novel compensation techniques are proposed and evaluated for improvement of speaker recognition under stressed condition. The compensation techniques are speaker and stressed information based compensation (SSIC), compensation by removal of stressed vectors G. Senthil Raja ( ) iKoa semiconductor pvt.
Healthcare Technology Letters, 2014
ABSTRACT A new measure for quantifying diagnostic information from a multilead electrocardiogram ... more ABSTRACT A new measure for quantifying diagnostic information from a multilead electrocardiogram (MECG) is proposed. This diagnostic measure is based on principal component (PC) multivariate multiscale sample entropy (PMMSE). The PC analysis is used to reduce the dimension of the MECG data matrix. The multivariate multiscale sample entropy is evaluated over the PC matrix. The PMMSE values along each scale are used as a diagnostic feature vector. The performance of the proposed measure is evaluated using a least square support vector machine classifier for detection and classification of normal (healthy control) and different cardiovascular diseases such as cardiomyopathy, cardiac dysrhythmia, hypertrophy and myocardial infarction. The results show that the cardiac diseases are successfully detected and classified with an average accuracy of 90.34%. Comparison with some of the recently published methods shows improved performance of the proposed measure of cardiac disease classification.
Proceedings of the First International Conference on Advances in Information Technology, 2012
ABSTRACT — In this work, an information theoretic approach is proposed for principal component an... more ABSTRACT — In this work, an information theoretic approach is proposed for principal component analysis (PCA) of multi-lead electrocardiogram signals. Clinical information is evaluated from the inverse of the diagonal eigenvalue matrix. It is termed as Clinical Entropy (Centropy). Clinical entropy (Centropy) based PCA method shows improved performance compared to the conventional PCA. The proposed method exhibits superior signal quality with higher cross correlation (CC), lower percentage root mean square difference (PRD) and lower root mean square error (RMSE) values.
International Conference on Computer and Computer Intelligence (ICCCI 2011), 2011
2012 World Congress on Information and Communication Technologies, 2012
ABSTRACT Compressed sensing is widely used due to its ability to reconstruct the signal accuratel... more ABSTRACT Compressed sensing is widely used due to its ability to reconstruct the signal accurately from a set of samples which is smaller than the set of samples produced using Nyquist rate. Multi-lead electrocardiogram signals show sparseness in wavelet domain. In this work, compressive sensing is applied for electrocardiogram signals in transform domain using random sensing matrix with independent identically distributed (i.i.d.) entries formed by sampling a Gaussian distribution. The reconstruction of sparsely represented signal is performed by convex optimization problem by L1-norm minimization. The quality of processed signal is satisfactory. Signal distortions are evaluated using percentage root mean square difference (PRD), root mean square error (RMSE), normalized root mean square difference (NRMSD), normalized maximum amplitude error (NMAX) and maximum absolute error (MAE). The lowest PRD value, 1.723%, is found for lead-V5 signal at sparsity level of 26.76%, using database of CSE multi-lead measurement library for simulation.
2012 World Congress on Information and Communication Technologies, 2012
ABSTRACT This paper proposes a novel subspace projection based approach for analysis of stressed ... more ABSTRACT This paper proposes a novel subspace projection based approach for analysis of stressed speech signal. The projection of stressed speech vectors onto the neutral speech subspace can separate speech specific information from stress information. Orthogonality between speech and stress is assumed to separate these two information. The orthogonal relation between speech and stress subspaces is verified using speech and stress recognition techniques with a stressed speech database consisting of four stress conditions namely, neutral, angry, sad and Lombard from 30 words vocabulary. Studies show that the speech and stress specific information are present in their respective subspaces which proves orthogonality between these two subspaces.
2005 Annual IEEE India Conference - Indicon, 2005
Detection and extraction of images of blood vessels is an important problem in Fundus image proce... more Detection and extraction of images of blood vessels is an important problem in Fundus image processing. During the last two decades, different algorithms were proposed and these are evaluated using subjective evaluation criterion due to non-availability of any prior information on the blood vessels. In this paper, we propose a novel Gaussian intensity distribution (GID) model for synthesis of blood vessels in a Fundus image. The gray-level profile of the cross section of a blood vessel is approximated by a Gaussian function. Blood vessels are synthesized by concatenating piecewise linear segments. Three parameters, length, width and angle, are used to design each segment. This model is used for optimal design of matched filter for detection of blood vessels. Matched filters of fixed parameters are popularly used widely in the literature. The performance of the matched filter is evaluated with the computer simulated images in different environments, by varying the various parameters of the simulated blood vessels.
2006 Annual IEEE India Conference, 2006
... Hidden Markov Model (HIMM) is also used as an emotional classifier with short term ... correl... more ... Hidden Markov Model (HIMM) is also used as an emotional classifier with short term ... correlates include the following: (1) pitch related features, (2) energy, (3) speech rate, (4 ... A sinusoidal model has been proposed for characterization and classification of different stress classes ...
2006 Annual IEEE India Conference, 2006
ABSTRACT Diabetic retinopathy is one of the major cause of blindness among the people. Many appro... more ABSTRACT Diabetic retinopathy is one of the major cause of blindness among the people. Many approaches are proposed by the authors to automate and detect the presence of diabetic retinopathy in fundus image. We propose a novel method of detection of the diabetic retinopathy using Gaussian intensity feature input to a VQ classifier. The underlying idea of using this technique in fundus imaging is that there are certain features which pertain only to diabetic retinopathy. These features are extracted in terms of diameter of the blood vessels expressed by sigma, and the height of the Gaussian profile across the cross-section, given by h. In this work, 30 images are taken as normal images and 25 pathological images are considered. A successful average diagnostic performance of 90% is achieved in this method
2006 Annual IEEE India Conference, 2006
Abstract In this work, we propose three compensation techniques for reduction of stress or emotio... more Abstract In this work, we propose three compensation techniques for reduction of stress or emotion effect and improvement in speaker recognition. The degradation of speaker recognition due to emotion has been analyzed on stressed speech database. First ...
2006 Annual IEEE India Conference, 2006
... In this paper we propose Unscented KalmanFilter(UKF) based tracker for tracking LV motion of ... more ... In this paper we propose Unscented KalmanFilter(UKF) based tracker for tracking LV motion of the heart. Our method requires manual drawing of contour on the first frame of image sequenceto represent the LV boundary. The ...
2011 National Conference on Communications (NCC), 2011
This study analyzes the effect of stress in human and automatic stressed speech processing tasks ... more This study analyzes the effect of stress in human and automatic stressed speech processing tasks for speech collected from non-professional speakers. The database of 33 keywords is collected under five stress conditions, namely, neutral, angry, happy, sad and Lombard from fifteen speakers. The first study is to understand the ability to identify stress by human and automatic speech processing. The
2005 Annual IEEE India Conference - Indicon, 2005
Abstract In this work, different speech features, such as Sinusoidal Frequency Features (SFF), Si... more Abstract In this work, different speech features, such as Sinusoidal Frequency Features (SFF), Sinusoidal Amplitude Features (SAF), Cepstral Coefficients (CC) and Mel Frequency Cepstral Coefficients (MFCC) are evaluated to find out their relative effectiveness to ...
2005 3rd International Conference on Intelligent Sensing and Information Processing, 2005
Abstract In this work, a spectral estimation technique using a novel autoregressive model, constr... more Abstract In this work, a spectral estimation technique using a novel autoregressive model, constrained autoregressive (CAR) model, is proposed. CAR model is based on constraining one of the model parameters of an autoregressive model. This helps obtain a modified or ...
2006 Annual IEEE India Conference, 2006
Abstract In this work, we propose a constrained autoregressive (CAR) model based Burg method for ... more Abstract In this work, we propose a constrained autoregressive (CAR) model based Burg method for parametric spectral estimation. CAR Burg method is based on constraining the Mth reflection coefficient of an M-order AR model. The value of this constrained reflection ...
2005 Annual IEEE India Conference - Indicon, 2005
... [I] Steven M. Kay, Modern Spectral Estimation, PTR Prentice Hall Signal Processing Series, 19... more ... [I] Steven M. Kay, Modern Spectral Estimation, PTR Prentice Hall Signal Processing Series, 1988. ... [6] Kareem E. Baddour and Norman C. Beaulieu, "Autoregressive Model-ling for Fading Channel Simulation," IEEE [ransactions on Wireless Communication, volA, No. ...
Balneo Research Journal, 2014
Medicinal plants are widely used for therapy of various diseases and disorders due to presence of... more Medicinal plants are widely used for therapy of various diseases and disorders due to presence of various bioactive phytochemicals. Among the studied phytochemicals polyphenol content was higher (16.7 ± 0.7 g/100g in C. tamala and 6.7 ± 0.61 g/100g in A. marmelos) and flavonoids content was lower in both plants (1.0 ± 1.01 g/100g and 0.9 ± 0.25 g/100g in C. tamala and A. marmelos respectively). Leaf extract of both plant were effective against S. aureus and P. mirabilis (6-10 mm ZOI and 100% inhibition at 0.25mg-5mg of leaf extracts in agar disk diffusion and broth dilution method respectively) and the leaf extract of both plant possess high antioxidant activity, 0.9% and 0.2% at 5µg/mL concentration 4% and 7% at 100 µg/mL concentration of A. marmelos and C. tamala leaf extracts respectively. Aqueous leaf extract of both the plants did not show cytotoxicity by haemolysis at 0.2 mg/mL-1mg/mL concentration.
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Publications by sukumar dandapat
plant leaves are widely used in pharmaceutical preparation because of therapeutic efficacy against various diseases
and disorders due to presence of different phytochemicals. The leaves were analysed for ash content, moisture, crude
fat, crude fibre, crude carbohydrate, crude protein and different phytochemical content. The results for percentage of
ash content, moisture content, crude fibre, carbohydrate, crude fat and protein were 9.6 ± 1.12, 50.50 ± 1.0, 30.5 ±
0.6, 9.5 ± 0.5, 6.0 ± 0.5 and 8.5 ± 0.18 % respectively. The nutritive value was 143.5 ± 0.53 Kcal/ 100g. The leaf
sample was assessed for quantitative and qualitative phytochemical composition. Among the phytochemicals poly
phenols was highest (16.7 ± 0.7 g/100g) and flavonoid content was lowest (1.0 ± 0.31 g/100g).
(L.) through inhibiting the growth of Staphylococcus aureus (MTCC 3160), Salmonella typhi (MTCC 3216) and
Proteus mirabilis (MTCC 7837) the causative pathogens of food poisoning, boils, abscesses, wound infection,
pneumonia, toxic shock syndrome, typhoid fever, urethitis, cystitis, pylonephritis and prostatitis has been
investigated. All the strains were affected by methanolic leaf extract of C. tamala and A. marmelos in agar diffusion
method and broth dilution method. The MIC values in agar diffusion method were 2.5 mg/mL against S. aureus
for extract of both plants and 5 mg/mL, 1.25 mg/mL, against P. mirabilis for the extract of C. tamala and A.
marmelos respectively. The MIC values in broth dilution method were 2.5 mg/mL against S.aureus for both plants
extract, 4 mg/mL, 1 mg/mL against P.mirabilis and 9 mg/mL, 10 mg/mL against S. typhi for C. tamala and A.
marmelos respectively. The nutritional value, phytochemical contents and inorganic substance content of C.
tamala is higher than A. marmelos.
Papers by sukumar dandapat
plant leaves are widely used in pharmaceutical preparation because of therapeutic efficacy against various diseases
and disorders due to presence of different phytochemicals. The leaves were analysed for ash content, moisture, crude
fat, crude fibre, crude carbohydrate, crude protein and different phytochemical content. The results for percentage of
ash content, moisture content, crude fibre, carbohydrate, crude fat and protein were 9.6 ± 1.12, 50.50 ± 1.0, 30.5 ±
0.6, 9.5 ± 0.5, 6.0 ± 0.5 and 8.5 ± 0.18 % respectively. The nutritive value was 143.5 ± 0.53 Kcal/ 100g. The leaf
sample was assessed for quantitative and qualitative phytochemical composition. Among the phytochemicals poly
phenols was highest (16.7 ± 0.7 g/100g) and flavonoid content was lowest (1.0 ± 0.31 g/100g).
(L.) through inhibiting the growth of Staphylococcus aureus (MTCC 3160), Salmonella typhi (MTCC 3216) and
Proteus mirabilis (MTCC 7837) the causative pathogens of food poisoning, boils, abscesses, wound infection,
pneumonia, toxic shock syndrome, typhoid fever, urethitis, cystitis, pylonephritis and prostatitis has been
investigated. All the strains were affected by methanolic leaf extract of C. tamala and A. marmelos in agar diffusion
method and broth dilution method. The MIC values in agar diffusion method were 2.5 mg/mL against S. aureus
for extract of both plants and 5 mg/mL, 1.25 mg/mL, against P. mirabilis for the extract of C. tamala and A.
marmelos respectively. The MIC values in broth dilution method were 2.5 mg/mL against S.aureus for both plants
extract, 4 mg/mL, 1 mg/mL against P.mirabilis and 9 mg/mL, 10 mg/mL against S. typhi for C. tamala and A.
marmelos respectively. The nutritional value, phytochemical contents and inorganic substance content of C.
tamala is higher than A. marmelos.