j) 2016 - 39 Documents

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    IDENTIFICATION OF RARE GENETIC DISORDER FROM SINGLE NUCLEOTIDE VARIANTS USING SUPERVISED LEARNING TECHNIQUE
    (Institute of Advanced Engineering and Science (IAES), 2016) Sathyavikasini, K; Vijaya, M S
    Muscular dystrophy is a rare genetic disorder that affects the muscular system which deteriorates the skeletal muscles and hinders locomotion. In the finding of genetic disorders such as Muscular dystrophy, the disease is identified based on mutations in the gene sequence. A new model is proposed for classifying the disease accurately using gene sequences, mutated by adopting positional cloning on the reference cDNA sequence. The features of mutated gene sequences for missense, nonsense and silent mutations aims in distinguishing the type of disease and the classifiers are trained with commonly used supervised pattern learning techniques.10-fold cross validation results show that the decision tree algorithm was found to attain the best accuracy of 100%. In summary, this study provides an automatic model to classify the muscular dystrophy disease and shed a new light on predicting the genetic disorder from gene based features through pattern recognition model.
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    ROBUST MODEL TO IMPROVE THE ENERGY EFFICIENCY IN IEEE 802.15.4 SENSOR NETWORK
    (International Journal of Control Theory and Applications, 2016) Sophia Reena, G; Nedunchezhian, R
    Wireless Sensor Networks (WSNs) are among the very promising solutions for several practical applications. Currently, WSNs have also found their application in the case of industrial scenarios, even for crucial applications. There are two significant requirements for an efficient deployment of WSNs such as energy efficiency and reliability. In this paper, robust model is proposed to enhance the energy efficiency in IEEE 802.15.4 sensor networks. The robust model is tending to restrict collisions and optimizing the access parameters without changing the existing architecture of MAC protocol.
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    A SURVEY ON WEB VIDEO CLASSIFICATION BASED ON DESCRIPTOR
    (International Journal of Control Theory and Applications, 2016) Amsaveni, R; Nedunchezhian, R
    Videos are a highly efficient and expressive media capable of capturing and presenting information. Every day, huge numbers of videos are uploaded online. In the field of computers, recognition of actions and scenes in videos based on web is one among the most critical problems. For the purpose of solving this issue in the identification and classification of videos, and the computing of the descriptors for videos is a significant job. It comprises of extraction of characteristics that represents the essential information present in the videos. This work yields a review of the research conducted recently in video analysis, inclusive of descriptor computation and recognition along with the classification of videos. Finally, an outline on the future scope on descriptor based video classification is also presented.
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    RHUS VERNICIFLUA AS A GREEN CORROSION INHIBITOR FOR MILD STEEL IN 1 M H2SO4
    (Royal Society of Chemistry, 2016-06-08) Mayakrishnan, Prabakaran; Seung-Hyun, Kim; Venkatesan, Hemapriya; Mayakrishnan, Gopiraman; Ick Soo, Kim; Ill-Min, Chung
    The methanolic extract of the plant Rhus verniciflua was examined as a corrosion inhibitor for mild steel in 1 M H2SO4 through weight loss measurements, ultraviolet-visible spectroscopy, Fourier transform infrared spectroscopy, electrochemical impedance spectroscopy, and potentiodynamic polarization measurements. The sample surface morphology was analyzed using scanning electron microscopy/energy-dispersive X-ray spectroscopy. The total phenolic content of the R. verniciflua leaf extract was found to be 158 mg g−1, while the total flavonoid content was 19.65 mg g−1. Eleven phenolic compounds, three flavonoid compounds, five derivatives of hydroxycinnamic acid, and four hydroxybenzoic acids were identified in the extract. Polarization studies showed that the R. verniciflua plant extract acts as a good mixed-type inhibitor. The inhibition efficiency was found to increase with an increase in the inhibitor concentration. On the other hand, the inhibition efficiency decreased with an increase in the temperature. The adsorption of the plant extract constituents is discussed based on the Langmuir, Temkin, and El-Awady isotherms. Moreover, the adsorption and thermodynamic parameters corresponding to extract adsorption onto mild steel were calculated and are discussed. The results show that the R. verniciflua plant extract can be employed as an effective corrosion inhibitor with good anticorrosion properties for metals in acidic environments.
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    ASSESSMENT OF PHYSICOCHEMICAL CHARACTERISTICS AND THE LEVEL OF NUTRIENT CONTENTS AS WELL AS HEAVY METAL IONS IN WATERS OF THREE LAKES AT COIMBATORE, TAMIL NADU, INDIA
    (Journal of Materials and Environmental Science, 2016-02-26) Manikandan, R; Ezhili, N; Muthulakshmiandal, N; Paulo J. C, Favas; Venkatachalam, P
    Lake water quality degradation and heavy metals pollution have been serious environmental threats for last decades, especially in those fresh water lakes situated in the vicinity of the cities and human habitations. The present study aimed to investigate the physicochemical parameters, level of nutrient contents and heavy metals to determine the water quality of Ukkadam, Kuruchi and Singanallur Lakes. All the physicochemical parameters except dissolved oxygen, sulphate, silicate and nitrate values were found above the prescribed limit as recommended by WHO (2011) and BIS (2003) drinking water quality. The concentrations of Ca, Cr, Cu, Fe, Niand Pb in waters of the selected three lakes ranged from 0.014 – 0.038, 0.145 – 0.063, 0.025 – 0.552, 0.100 – 3.460, 0.028 – 0.117 and 0.463 – 2.172 mg/L respectively. The concentrations of heavy metals except Cu were found to be higher than the permeable dose. This investigation revealed that the water in these lakes is partially contaminated with high level of heavy metals. It is recommended that proper implementation of new wetland waste management system and constant monitoring is urgently required to maintain good water quality in these lakes for future generation.
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    STOP CONSONANT-SHORT VOWEL (SCSV) CLASSIFICATION FOR TAMIL SPEECH UTTERANCES
    (Praise Worthy Prize, 2016) Veeranan, Karpagavalli; Chandra, E
    Tamil Language is one of the ancient Dravidian languages spoken in south India. Most of the Indian languages are syllabic in nature and syllables are in the form of Consonant-Vowel (CV) units. In Tamil language, CV pattern occurs in the beginning, middle and end of a word. In this work, CV units formed with Stop Consonant – Short Vowel (SCSV) were considered for classification task. The work carried out in three stages, Vowel Onset Point (VOP) detection, CV segmentation and classification. VOP is an event at which the consonant part ends and vowel part begins. VOPs are identified using linear Prediction residuals which provide significant characteristics of the excitation source. To segment the CV units, fixed length spectral frames before and after VOPs are considered. Both production based features - Linear Predictive Cepstral Coefficients (LPCC) and perception based features - Mel Frequency Cepstral Coefficients (MFCC) are extracted and given as input to the classifiers designed with multilayer perceptron and support vector machine. A speech corpus of 200 Tamil words uttered by 15 native speakers was used, which covers all SCSV units formed with Tamil stop consonants (/k/,/ch/,/d/,/t/,/p/) and short vowels (/a/,/i/, /u/, /e/, /o/). The classifiers are trained and tested for its performance using various measures. The results indicate that the model built with MFCC using support vector machine RBF kernel outperforms
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    ORGANIC CULTIVATION OF MEDICINAL PLANTS: INFLUENCE OF COMPOSTED COIR PITH ON THE GROWTH AND YIELD OF COLEUS FORSKOHLII (WILLD.) BRIQ
    (Taylor & Francis Online, 2016-04-06) Padmadevi, S N; Meera Bai, R S; Prince William, S P M; Sunithakumari, K
    Coleus forskohlii (willd.) Briq. is a native plant of India. The therapeutic properties of forskolin, the main diterpene constituent of this plant, contributed to the emergence of C. forskohlii as an important taxon in modern medicine. In the present study, composted coir pith (CCP) was used as an organic fertilizer and its effect on the growth, the primary metabolite, and secondary metabolite (forskolin) of C. forskohlii were studied. The CCP was amended to the soil in the plots at the rate of 5 t h−1 (T1), 10 t h−1 (T2), and 15 t h−1 (T3). The control plots were left unamended. It was found that CCP increased the growth and development of C. forskohlii in fields amended with 15 t h−1 (T3). The activity of the three prime soil enzymes, namely, urease, phosphatase, and dehydrogenase in the rhizosphere soil of C. forskohlii also increased with an increase in the quantum of CCP amended to the soil.
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    CORROSION INHIBITION OF N80 STEEL IN 15% HCL BY PYRAZOLONE DERIVATIVES: ELECTROCHEMICAL, SURFACE AND QUANTUM CHEMICAL STUDIES
    (Royal Society of Chemistry, 2016-02-23) Ansari, K R; Quraishi, M A; Ambrish, Singh; Sowmya, Ramkumar; Ime B, Obote
    The corrosion protection of N80 steel in 15% HCl by two pyrazolone derivatives namely 2-(3-amino-5-oxo-4,5-dihydro-1H-pyrazol-1-yl)(p-tolyl)methyl)malononitrile (PZ-1) and 2-((3-amino-5-oxo-4,5-dihydro-1H-pyrazol-1-yl)(phenyl)methyl)malononitrile (PZ-2) has been investigated by using gravimetric, electrochemical and quantum chemical studies. The observed results reveal that PZ-1 is a better inhibitor than PZ-2. Tafel polarization showed that PZs are mixed type inhibitors but dominantly affect the cathodic reaction. Both inhibitors were found to obey the Langmuir adsorption isotherm. Scanning electron microscopy (SEM) and scanning electrochemical microscopy (SECM) images support the protection of the N80 steel in the presence of the PZs. Quantum chemical study reveals that both inhibitors have a tendency to get protonated and this result supports the experimental observations.
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    ZINC SOLUBILIZING BACTERIAL ISOLATES FROM THE AGRICULTURAL FIELDS OF COIMBATORE, TAMIL NADU, INDIA
    (Current Science, 2016-01) Sunithakumari, K; Padma Devi, S N; Vasandha, S
    Zinc plays a pivotal role in physiological and biochemical functions of the plants. Both quantitative and qualitative yield of the plants are strongly dependent on this micronutrient. Supplementation of zinc in the form of synthetic fertilizer is proved to be inappropriate due to its unavailability to plants. This crisis can be prevented by the identification of rhizospheric micro-organisms which has the potential to transform various unavailable forms of the metal to available forms. In the present study about thirty five zinc solubilizing bacteria were isolated from eight different agricultural fields (banana, chilli, field bean, ground nut, maize, sugarcane, sorghum and tomato) in and around Coimbatore district of Tamil Nadu. Five isolates were selected as best strains based on their solubilization efficacy in the qualitative estimation. The selected five isolates were identified using 16S rRNA as Stenotrophomonas maltophilia (ZSB-1), Mycobacterium brisbanense (ZSB-10), Enterobacter aerogenes (ZSB-13), Pseudomonas aeruginosa (ZSB22) and Xanthomonas retroflexus (ZSB-23). These strains were subjected to further studies such as quantitative estimation, influence of the isolates on the pH of the medium and production of gluconic acid as well as IAA. Of the five bacterial isolates, Pseudomonas aeruginosa showed maximum solubilization of zinc in the broth and also maximum decrease in the pH from 7 to 3.3 and recorded highest IAA production. HPLC analysis of gluconic acid production by the selected isolates indicated their potential to solubilize zinc.
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    SOYA BEAN OIL BASED POLYURETHANES FOR CORROSION INHIBITION OF MILD STEEL IN ACID MEDIUM
    (Taylor & Francis Online, 2016) Valarmathi, Eswaramoorthi; Saranya, Jagadeesan; Sounthari, Palanisamy; Parameswari, Kandhasamy; Subramanian, Chitra
    Polyurethanes synthesized from soya bean oil were characterized by Fourier-transform infrared spectroscopy, scanning electron microscopy (SEM), X-ray diffraction and energy-dispersion X-ray analysis methods. Thermal stability of the polyurethanes was investigated by thermogravimetric analysis. The corrosion inhibition effect of polyurethanes on mild steel in 1 M H2SO4 was studied using weight loss, potentiodynamic polarization and electrochemical impedance spectroscopy methods. The effect of temperature on the corrosion behaviour of mild steel was studied in the temperature range (303–333 K) with optimum inhibitor concentration. The adsorption of the inhibitors was found to obey the Langmuir adsorption isotherm. It was found that the inhibition efficiency increased with increase in concentration but decreased with increase in temperature. The associated activation energy and other thermodynamic parameters such as adsorption–desorption equilibrium constant (Kads), standard free energy of adsorption (ΔG), enthalpy of adsorption (ΔH) and entropy of adsorption (ΔS) were calculated to elaborate the corrosion inhibition mechanism. Surface morphology of the mild steel plate immersed in 1 M H2SO4 was characterized by SEM and AFM techniques.