k) 2015 - 38 Documents
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Item A NEW FRAMEWORK FOR TEA PLANT RECOGNITION USING EXTREME LEARNING MACHINE WITH VERY FEW FEATURES(International Journal of Applied Engineering Research, 2015) Arunpriya, C; Arunpriya, C; Thanamani, A S; Thanamani, A SDue to more and more tea varieties in the current tea market, rapid and accurate identification of tea varieties is crucial for tea quality control. Tea quality mainly depends on the variety of leaf, growing environment, manufacturing conditions, size of ground tea leaves and infusion preparation. In the past few years, tea cultivar has been assessed by morphological assessment coupled with pattern recognition. This paper uses an efficient machine learning approach called Extreme Learning Machine (ELM) for the classification purpose. The proposed approach consists of four phases which are as preprocessing, feature extraction, feature clustering and classification. Additionally, this work proposes an iterative algorithm for feature clustering and applies it to leaf recognition. Feature clustering is a powerful tool to reduce the dimensionality of the selected feature. For improving the accuracy and performance of tea leaf recognition, ELM is implemented. The classifier is tested with 20 leaves from each variety and compared with k-NN and RBF approach. The proposed ELM classification produces effective results.Item THE INHIBITING EFFECT OF SOME QUINOXALINE DERIVATIVE TOWARDS MILD STEEL CORROSION IN ACID MEDIA: CHEMICAL, ELECTROCHEMICAL AND THEORETICAL STUDIES(Journal of Materials and Environmental Science, 2015) Saranya, J; Sounthari, P; Kiruthuka, A; Parameswari, K; Chitra, SCorrosion inhibition of mild steel in 1 M H2SO4 was investigated in the absence and presence of different concentrations of quinoxaline derivatives namely (3E)-3-(phenylimino)-3,4-dihydroquinoxalin-2(1H)-one (PDQO), (3E)-3-[(2-methylphenyl) imino]-3,4-dihydroquinoxalin-2(1H)-one (MPDQO) and (3E)-3-[(2-methoxy-phenyl)imino]-3,4-dihydroquinoxalin-2(1H)- one (MOPDQO). Weight loss, potentiodynamic polarization and electrochemical impedance spectroscopy (EIS) measurements were employed. Impedance measurements showed that the charge transfer resistance increased and double layer capacitance decreased with increase in the inhibitor concentration. Potentiodynamic polarization study showed that the inhibitors acted as mixed-type inhibitors. The adsorption of these compounds on the mild steel surface obeys a Langmuir adsorption isotherm. Results obtained reveal that compound MOPDQO is the best inhibitor and the inhibition efficiency follows the sequence: MOPDQO > MPDQO > PDQO. Electronic properties such as highest occupied molecular orbital (EHOMO) and lowest unoccupied molecular orbital (ELUMO), the energy difference (ΔE) between EHOMO and ELUMO, dipole moment (μ), electronegativity (χ), electron affinity (A), hardness (η), softness (σ), ionization potential (I), the fraction of electrons transferred (ΔN), total energy (TE) were calculated and discussed. The results showed that the corrosion inhibition efficiency increased with an increase in the EHOMO values but decrease in the ELUMO values. Mulliken atomic charges, Fukui functions and softness indices were discussed in order to characterize the inhibition property of the inhibitorsItem SPEECH EMOTION RECOGNITION USING CLASSIFICATION ALGORITHMS(International Journal of Applied Engineering Research, 2015) Meenakshi, S; Karpagavalli, SEmotion Recognition from one’s speech is natural activity in human beings. Emotion recognition aims at identifying the emotional state of a speaker from his/her speech signal. The emotion recognition is useful in applications that are lie detection, in car board system, authentication systems and automatic emotional detection in call centers. There are different categories of emotions such as joy, fear, disgust, surprise, anger, sadness, boredom and neutral. In this proposed work, emotional speech files are collected from Berlin Emotional Speech Database (EMO-DB) covering exclusively 3 emotions Neutral, Anger and Sad. Information on emotion is encoded mainly phonetic and acoustic properties of spoken language. Prosodic features and voice quality also infers emotion characteristics. The emotion speech files are processed to extract features like energy, pitch, intensity and Mel-Frequency Cepstral Coefficient (MFCC). Emotion recognizer is designed with classifiers like Multilayer Perceptron (MLP) and Support Vector Machine (SVM). The experiment carried out for male and female speech files with acoustic features separately and acoustic features along with short term spectral features. The performances of the classifiers are evaluated with predictive accuracy.Item SATIN LEAF (CHRYSOPHYLLUM OLIVIFORME) EXTRACT MEDIATED GREEN SYNTHESIS OF SILVER NANOPARTICLES: ANTIOXIDANT AND ANTICANCER ACTIVITIES(Journal of Pharmaceutical Sciences and Research, 2015) Anju Varghese, R; Anandhi, P; Arunadevi, R; Boovisha, A; Sounthari, P; Saranya, J; Parameswari, K; Chitra, SThe recent development and implementation of new technologies have led to new era, the nano-revolution which unfolds role of plants in bio and green synthesis of nanoparticles which seem to have drawn quite an unequivocal attention with a view of synthesizing stable nanoparticles. The biosynthesis of nanoparticles has been proposed as a cost effective and environmental friendly alternative to chemical and physical methods. Plant mediated synthesis of nanoparticles is a green chemistry approach that interconnects nanotechnology and plant biotechnology. In the present study, synthesis of silver nanoparticles (AgNPs) has been demonstrated using extracts of Chrysophyllum oliviforme reducing aqueous silver nitrate. The synthesized nanosilver was characterized by IR, UV, XRD and SEMEDS. The synthesized nano silver have been screened for antioxidant and anticancer activities.Item CORROSION INHIBITION EFFECT OF HYDROXY PYRAZOLINE DERIVATIVES ON MILD STEEL IN SULPHURIC ACID SOLUTION TOGETHER WITH QUANTUM CHEMICAL STUDIES(Journal of Materials and Environmental Science, 2015-03-13) Anusuya, N; Sounthari, P; Saranya, J; Parameswari, K; Chitra, SInhibition potential of synthesized pyrazoline derivatives on the corrosion inhibition of mild steel in 1M H2SO4 solution have been evaluated and studied by gravimetric, Tafel polarization, electrochemical impedance spectroscopy techniques and the quantum chemical studies using density functional theory (DFT). The results showed that the inhibition efficiency of the investigated compounds depend on the concentration and nature of the inhibitor. The effect of temperature on the corrosion behavior of mild steel in 1M H2SO4 without and with the inhibitors was studied in the temperature range 303 to 333 K. Some activated thermodynamic parameters were computed and discussed. Polarization studies showed that all the pyrazolines function as mixed inhibitor, but predominantly act as cathodic type. The surface morphology of inhibited mild steel was analyzed by scanning electron microscope technology with energy dispersive X-ray spectroscopy (SEM-EDX). FT-IR spectroscopic analysis was used to obtain information on bonding mechanism between the metallic surface and the inhibitors. Quantum chemical parameters such as highest occupied molecular orbital energy (EHOMO), lowest unoccupied molecular orbital energy (ELUMO), energy gap (∆E) and dipole moment (µ), the softness (σ), the fraction of the electrons transferred from the inhibitor to the metal surface (∆N) and the total energy (TE) have been calculated. It was found that theoretical data support the experimental results.Item CLASSIFICATION OF HEART RATE USING BACK PROPAGATION NEUTRAL NETWORKS(International Journal of Bio-Science and Bio-Technology, 2015) Kavitha, R; Christopher, TA condition of abnormal electrical activity in the heart which is a threat to humans is shown by this electrocardiogram. It is a representative signal containing information about the condition of the heart. The of the P-QRS-T wave shape and size and their time intervals between its various peaks these are all contain useful information about the nature of disease affecting the heart. This paper presents a technique to examine electrocardiogram (ECG) signal, take out the features for the heart beats classification. Collect data from MIT-BIH database. The heart rate is used as the base signal from which certain parameters are extracted and presented to the BPN for classificationItem ADSORPTION AND DENSITY FUNCTIONAL THEORY ON CORROSION OF MILD STEEL BY A QUINOXALINE DERIVATIVE(Scholars Research Library, 2015) Saranya, J; Sounthari, P; Parameswari, K; Chitra, S(3E)-3-{[4-(phenylsulfonyl)]imino}-3,4-dihydroquinoxalin-2(1H)-one (PSDQO) has been synthesized and its inhibiting action on the corrosion of mild steel in 1 M H2SO4 has been assessed by weight loss method at 303 K – 333 K. The results of the investigation show that this compound has excellent inhibiting properties for mild steel corrosion in sulphuric acid. Inhibition efficiency increases with increase in the concentration of the inhibitor. The adsorption of the inhibitor was tested for Langmuir, Temkin, Flory-Huggin’s and El-Awady isotherm and proved physical adsorption. Quantum chemical calculations were employed to give further insight into the mechanism of inhibitive action of the inhibitorItem CORRELATION BETWEEN INHIBITION EFFICIENCY AND CHEMICAL STRUCTURE OF NEW INDOLO IMIDAZOLINE ON THE CORROSION OF MILD STEEL IN MOLAR HCL WITH DFT EVIDENCES(Oriental Journal of Chemistry, 2015-06-12) Sowmya, Ramkumar; Nalini, DThe present work aims at the synthesis, characterization and study on the inhibitive effect of indoloimidazoline derivative (DI) on mild steel in 1M HCl. Weight loss measurement and electrochemical AC and DC corrosion monitoring techniques are performed at 308 K using mild steel specimens immersed in 1M HCl in the presence and absence of DI. Polarisation curves indicated that DI acted as a mixed type inhibitor. The indoloimidazoline derivative having nitrogen atoms in its molecular structure are adsorbed on the metal surface through these active centres and that the extent of inhibition is directly related to the formation of the adsorption layer according to Langmuir isotherm model on the mild steel surface which is sensitive function of the molecular structure. Quantum chemical calculations performed using DFT B3LYP 6-31G (d, p) basis set within the program Gaussian 09 showed the adsorption sites for DI on mild steel. Experimental and theoretical findings agreed well with each other.Item HERITABILITY, CORRELATION AND PATH COEFFICIENT ANALYSIS FOR MORPHO-PHYSIOLOGICAL TRAITS IN WHEAT(2015-01) Shajitha, P; Gajalakshmi, Kandasamy; Sivasamy, M; Nisha, PHeritability, inter-relationship and path coefficient studies were performed in ten bread wheat genotypes in the background of (Lok-1, MACS2496, NI5439, NIAW 34, PBW 226, PBW 343, PBN 51, PBW 502, WH542 and WH147) carrying yield potential gene Lr19/Sr25 along with rust resistance. Very high broad sense heritability was estimated for all the morphological characters studied. Grains per spike exhibited highest heritability value of 99.4% while tillers per plant showed minimum value of 90%. Genotypically plant height, spike length, spikelets per spike, grains per spike and 1000-grain weight were positively and significantly correlated with tillers per plant while highly significantly associated phenotypically. Flag leaf area was positively but non-significantly associated with grain yield; whereas, fertile tillers per plant was negatively and nonsignificantly correlated with grain yield. Plant height, flag leaf area, spike length and grains per spike had positive direct effects on grain yield. While fertile tillers per plant, spikelets per spike and 1000-grain weight exhibited negative direct effects on grain yield. The traits having positive direct effects on grain yield are considered to be suitable selection criteria for evolving high yielding genotypes.Item GENETIC DIVERGENCE OF BREAD WHEAT GENOTYPES BASED ON CLUSTER AND PRINCIPAL COMPONENT ANALYSIS FOR BREEDING STRATEGIES(Biochemical and Cellular Archives, 2015) Shajitha, P; Sivasamy, M; Gajalakshmi, K; Baghyalakshmi, K; Vikas, V KThe genetic divergence study was conducted to estimate the nature and magnitude of diversity in Lr19+ and Lr19-lines of bread wheat. The divergence analysis including Tocher's, canonical (vector) and Principal component analysis(PCA) for yield and its nine contributing characters were studied. The twenty two wheat genotypes were grouped into four clusters by both Tocher's method of divergence study. The result of PCA revealed that all the 4 principal components (PC1, PC2, PC3 and PC 4) contributed 93.35% of the total variability. The first PC assigned 60% and the second PC assigned 16% and of total variation between traits. The first PC was more related to days to heading, plant height, tillers per lant, spikelets per spike, grain yield per spike and peduncle length. Therefore, selection based on first component is helpful for a good hybridization breeding program. The information obtained from this study can be used to plan crosses and maximized the use of genetic diversity and expression of heterosis from alien translocation.