k) 2015 - 38 Documents

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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 inhibitor
ADSORPTION OF REACTIVE BLUE 171 FROM AQUEOUS SOLUTION USING LOW COST ACTIVATED CARBON PREPARED FROM AGRICULTURAL SOLID WASTE: ALBIZIA AMARA
(Applied Science Innovations Pvt. Ltd., India, 2015-08-25) Anitha, K; Syed Shabudeen, P S; Karthikeyan, S; Aruna devi, N
The adsorption of Reactive Blue 171 (Reactive Dye) from aqueous solution using activated carbon prepared from Albizia amara pod shell waste as an adsorbent have been carried out. The experimental adsorption data fitted reasonably well to Langmuir and Freundlich adsorption isotherms. Kinetic parameters as a function of Initial dye concentration have been calculated and the kinetic data were substituted in Pseudo First Order, Elovich and Pseudo Second order equations. A probable explanation is offered to account for the results of kinetic study. The thermodynamic parameter enthalpy change (∆H) suggests the exothermic nature of absorption of Reactive Blue 171 onto activated Albizia amara pod shell waste carbon.
ANALYSIS OF TAMIL CHARACTER WRITINGS AND IDENTIFICATION OF WRITER USING SUPPORT VECTOR MACHINE
(IEEE, 2015-01-26) Thendral, T; Vijaya, M S; Karpagavalli, S
Distinctive Handwriting is a thought provoking task in writer identification. The style and shape of the letters written by the same writer may vary and entirely different for different writers. Alphabets in the handwritten text may have loops, crossings, junctions, different directions and so on. Therefore exact prediction of individual based on his/her handwriting is highly complex and challenging task. This paper proposes a new model for learning the writer's identity constructed on Tamil handwriting. Handwritten documents written by the writers are scanned and segmented into words. Words are further segmented into characters for character level writer identification. The character writings in Tamil are analyzed and their describing features are defined. The Writer identification problem is formulated as classification task and a pattern classification technique namely Support Vector Machine has been employed to construct the model. It has been reported about 90. 6% of prediction accuracy by RBF kernel based classification model in character level writer identification.
ANT COLONY OPTIMIZATION FOR COMPETENCY BASED LEARNING OBJECTS SEQUENCING IN E-LEARNING
(Elsevier, 2015-07) Priya Dharshini, A; Chandrakumarmangalam, S; Arthi, G
E-learning is a knowledge management concept where content creators have to arrange a set of learning resources, to present them in a clear and comprehensive way to the learners. In this paper, we formulate a new approach for obtaining better learning paths for different learners groups as a constraint satisfaction problem (CSP) in which meta-data and competencies are used to define the relationships between the learning objects (LOs), where the course materials are used to formulate LOs sequence. The main aim of this paper is to obtain a dynamic learning path for the considered CSP problem by using the swarm intelligence technique, which is a sub-set of the artificial intelligence technique. Further, the proposed model is tested in a simulated environment, which gives an optimized LO sequencing. The simulation results reveal that the artificial ants gives solution to the proposed problem in an optimized way. More precisely, suitable learning path can be obtained by applying ant colony optimization (ACO) technique. From the obtained results it is concluded that the proposed model supports the e-learning portal administrator in getting benefits in terms of less processing time and minimal sequencing cost.
AUTOMATIC TAG RECOMMENDATION FOR JOURNAL ABSTRACTS USING STATISTICAL TOPIC MODELING
(Springer Link, 2015) Anupriya, P; Karpagavalli, S
Topic modeling is a powerful technique for unsupervised analysis of large document collections. Topic models conceive latent topics in text using hidden random variables, and discover that structure with posterior inference. Topic models have a wide range of applications like tag recommendation, text categorization, keyword extraction and similarity search in the broad fields of text mining, information retrieval, statistical language modeling.In this work, a dataset with 200 abstracts fall under four topics are collected from two different domain journals for tagging journal abstracts. The document model is built using LDA (Latent Dirichlet Allocation) with Collapsed Variational Bayes (CVB0) and Gibbs sampling. Then the built model is used to find appropriate tag for a given abstract. An interface is designed to extract and recommend the tag for a given abstract.
CLASSIFICATION OF HEART RATE USING BACK PROPAGATION NEUTRAL NETWORKS
(International Journal of Bio-Science and Bio-Technology, 2015) Kavitha, R; Christopher, T
A 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 classification
COMPARATIVE MICROBIOLOGICAL ANALYSIS OF WATER STORED IN DIFFERENT STORAGE VESSELS
(International Journal of Pharma and Bio Sciences, 2015) Radha, R; Susheela, P
Water is most essential for existence of life on earth. Water is the basic necessity of all living creatures and its important use are for drinking purpose. Water intended for human consumption must be safe and free from microbes. Therefore this investigation was taken with the objective to study the effect of storage of lake water in different vessels like plastic, clay, copper and stainless steel by comparing the number of coliforms present in the water before and after storage. The findings may have significant implications in the use of vessels made of copper and its alloys for household storage of drinking water.
CONTROLLABILITY OF IMPULSIVE SECOND-ORDER NONLINEAR SYSTEMS WITH NONLOCAL CONDITIONS IN BANACH SPACES
(Taylor & Francis Online, 2015-06-08) Arthi, G; Balachandran, K
In this paper, we are concerned with the controllability of damped second-order integrodifferential systems with impulses. Further the result is extended to study the controllability of nonlinear neutral systems with nonlocal conditions. The fixed point analysis approach is adopted in investigation. Sufficient conditions are formulated with a noncompact condition on the cosine family of operators. The results are obtained using the Banach fixed point theorem. An example is presented to illustrate the results.
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, D
The 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.
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, S
Inhibition 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.
CORROSION INHIBITION OF MILD STEEL IN 1MH2SO4 BY THIADIAZOLE SCHIFF BASES
(Elsevier, 2015-06) Dasami, P M; Parameswari, K; Chitra, S
Two novel Schiff bases derived from heterocyclic amines and aldehydes were synthesized and evaluated as corrosion inhibitors for mild steel in 1MH2SO4 by mass loss and electrochemical techniques. Inorder to understand the mechanism of inhibition, adsorption isotherms were tested. The studies showed that the inhibition efficiency depends on concentration of inhibitor and temperature of measurements. Electrochemical studies showed that the inhibitors behave as mixed type. Quantum chemical studies were used to substantiate the experimental results.
CROSS-INCOMPATIBILITY : PREVENTING FERTILIZATION IN EINKORN WHEAT (TRITICUM MONOCOCCUM)
(Connect Journals, 2015-01-11) Baghyalakshmi, K; Kumar, M; Subashini, G; Shajitha, P; Prabakaran, A J
Genetic variation in crop species and their wild relatives holds the key for successful breeding of improved cultivars. Gene pool of wild species is usually more difficult to manipulate than the one found within the cultivated species. However, the ease of manipulation and success in using genes from wild species will vary with the crosses attempted, species used and can be affected by both genotypes and ploidy level of the species used. T. monococcum, ‘A’ genome contributor to the present day bread wheat with basic number x =7 was crossed with cultivated species of T. dicoccum (NP200, 2n=28), T. durum (MACS2846, 2n=28) and T .aestivum (Agra Local, 2n=42) to develop progenies with the characters of both the parents. The wild species was used as female parents and cultivated plants as male parents. Crossing T. monococcum as female with T. dicoccum, T. durum and T. aestivum did not result in seed set. The analysis done on these crosses to investigate the cause for failure revealed that it could be due to post-fertilization problems.
DETECTION OF A PERSON USING DESCRIPTIVE FEATURES OF TAMIL HANDWRITING AND PATTERN LEARNING
(International Journal of Applied Engineering Research, 2015) Thendral, T; Vijaya, M S
Pattern classification technique is used for writer identification task in Tamil handwriting document images. Tamil is a classical language in India especially to south Indian people. Compared to other languages, this language has more distinctive features like style, strokes, loops, crossings and junctions. Handwritings written in Tamil language are collected and used as input images. The input images are scanned, analyzed and their describing features are defined. They are classified using supervised learning algorithms like support vector machine (SVM), extreme machine learning (ELM) and back propagation algorithm (BPA). Comparative results of these algorithms are analyzed and shown that ELM outperforms with 100% accuracy.
DIABETIC RETINAL EXUDATES DETECTION USING EXTREME LEARNING MACHINE
(Springer Link, 2015) Asha, P R; Karpagavalli, S
Diabetic Retinopathy is a disorder of the retina as a result of the impact of diabetes on the retinal blood vessels. It is the major cause of blindness in people like age groups between 20 & 60. Since polygenic disorder proceed, the eyesight of a patient may commence to deteriorate and causes blindness. In this proposed work, the existence or lack of retinal exudates are identified using Extreme Learning Machine(ELM). To discover the occurrence of exudates features like Mean, Standard deviation, Centroid and Edge Strength are taken out from Luv color space after segmenting the Retinal image. A total of 100 images were used, out of which 80 images were used for training and 20 images were used for testing. The classification task carried out with classifier extreme learning machine (ELM). An experimental result shows that the model built using Extreme Learning Machine outperforms other two models and effectively detects the presence of exudates in retina.
DIABETIC RETINAL EXUDATES DETECTION USING MACHINE LEARNING TECHNIQUES
(IEEE, 2015-11-12) Asha, P R; Karpagavalli, S
Diabetic Retinopathy (DR) is an eye filled illness caused by the complication of polygenic disease and that is to be detected accurately for timely treatment. As polygenic disease progresses, the vision of a patient could begin to deteriorate and leads to blindness. In this proposed work, the presence or absence of retinal exudates are detected using machine learning (ML) techniques. To detect the presence of exudates features like Mean, Standard deviation, Centroid and Edge Strength are extracted from Luv color space after segmenting the Retinal image. A total of 100 images were used, out of which 80 images were used for training and 20 images were used for testing. The classification task carried out with classifiers like Naive bayes (NB), Multilayer Perceptron (MLP) and Extreme Learning Machine (ELM). Experimental results shows that the model built using Extreme Learning Machine outperforms other two models and effectively detects the presence of exudates in retinal images.
EFFECT OF DIELECTRIC INTERFACE ON THE TIGHT FOCUSING PROPERTIES OF RADIALLY POLARIZED ANNULAR MULTI GAUSSIAN BEAMS
(Springer Link, 2015) Lavanya, M; Prabakaran, K; Rajesh, K B; Udhayakumar, M
A super-length optical needle (44 of strong transversally polarized field with homogeneous intensity along the optical axis and sub-diffraction beam size (0.48 can be generated by focusing a radially polarized beam through a dielectric interface with an annular high numerical aperture (NA) lens. Moreover, the focal shifts induced by the mismatch of the refractive indices across the interface has been found. The dependence of focal shifts and spot size of the focused field on the probe depth and NA of the objective is also analyzed in detail by numerical calculations using vector diffraction theory. Such kind of non-diffracting optical needle may have applications in atom-optical experiments, such as with atom trap and atom switches.
GENERATION OF SUPER LONG DARK CHANNEL USING ANNULAR MULTI-GAUSSIAN BEAM
(SPIE Digital Library, 2015-06-15) Lavanya M; Udhayakumar M; Shanmugapriya S; Rajesh K B
According to Vector diffraction theory, focusing properties of azimuthally polarized annular multi Gaussian beam through dielectric interface is numerically studied. It is observed that the presence of dielectric interface generates focal shift and the inclusion of annular obstruction at the aperture enhances the focal depth and minimized the focal hole size. By properly tuning the annular obstruction, a focal hole of FWHM 0.606 λ having super long focal depth of 3080λ is achieved. The focal depth of the dark channel achieved is found to be much larger than all the previously proposed methods.
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 K
The 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.
HERITABILITY, CORRELATION AND PATH COEFFICIENT ANALYSIS FOR MORPHO-PHYSIOLOGICAL TRAITS IN WHEAT
(2015-01) Shajitha, P; Gajalakshmi, Kandasamy; Sivasamy, M; Nisha, P
Heritability, 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.
A HIERARCHICAL APPROACH IN TAMIL PHONEME CLASSIFICATION USING SUPPORT VECTOR MACHINE
(Indian Journal of Science and Technology, 2015) Karpagavalli, S; Chandra, E
Most of the speech recognition systems are designed based on the sub-word unit phoneme which is the basic sound unit of a language. In the proposed work, a novel hierarchical approach based phoneme classification task has been carried out to reduce time complexity and search space. Hierarchical classification of set of Tamil phonemes has been done in three levels. Phoneme boundaries of the given speech utterance are identified using Spectral Transition Measure (STM) and phonemes are separated. Mel-Frequency Cepstral Coefficients (MFCC) are extracted for each phoneme represented by 9 frames including the contextual frames of corresponding phoneme. In each hierarchical level, different number of models is built using Support Vector Machine (SVM) for classifying each phoneme group/phoneme. It is observed from the results that in hierarchical approach phoneme group recognition rate at level 1 and 2 has greatly improved compared to flat classification model. Complexity of search space is significantly reduced at level 2 and level 3 contrasts to flat phoneme classification model. Hierarchical phoneme classifier can be very well employed in phoneme recognition task which is useful in applications such as spoken term detection, out-ofvocabulary detection, named entity recognition, spoken document retrieval.