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Search Results: 1 - 10 of 198341 matches for " N. RAMYA "
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STUDY HABITS OF HIGHER SECONDARY STUDENTS RESIDING IN GOVERNMENT WELFARE HOSTELS IN TIRUCHIRAPPALLI DISTRICT, TAMIL NADU
N. RAMYA
Golden Research Thoughts , 2013, DOI: 10.9780/22315063
Abstract: The study aims to find out the relationship between the socio-economic and the demographic characteristics of higher secondary students (N=559, male 311, female 248) residing in government hostels run by Adi-Dravidar Welfare Department in Tiruchirappalli district, Tamil Nadu. Out of 684 students, 559 students were selected from all 37 hostels by adopting census method. A self prepared questionnaire was used for collecting data in respect of socio-economic and demographic variables and an instrument on Study Habits and Attitude was used to find out the study habits of the respondents. The result shows that sex, caste, place of living, parents occupation, presence of alcoholic fathers, private tuition, school coaching and extra-curricular activities have significant influence on the study habits of the respondents. Further, the study shows that age, class, religion, course, school, birth order, parental education, income, marital status, type and size of family, have no significant influence on study habits of the respondents. An understanding of the socio-economic and the demographic characteristics of the respondents is very essential to develop good study habits of students residing in government welfare hostels.
CHALLENGES AND OPPORTUNITIES OF GREEN MARKETING IN INDIA
G. KARTHIK,N. RAMYA
Golden Research Thoughts , 2012, DOI: 10.9780/22315063
Abstract: Green marketing is not going to be an easy concept. The increasing economic development, rapid growth of population and growth of industries in India is putting a strain on the environment, infrastructure and the countries natural resources. Industrial pollution, soil erosion, deforestation, rapid industrialization, urbanization, and land degradation are all worsening problems. Environmental pollution is one of the most serious problems facing humanity and other life forms on our planet today. So it's the right time to implement the Green Marketing in India. Green Marketing makes drastic change in the business not even in India but save the world from pollution.
SWOT ANALYSIS OF INDIAN JUTE INDUSTRY
G. KARTHIK AND N. RAMYA
Indian Streams Research Journal , 2012,
Abstract: Jute Industrial sector is an important segment of Indian economy. Jute has been the most versatile natural fibre. The jute sector produces products ranging from low value geo-textile to high end garments, decorative, upholstery etc. Many of the jute plants or mills are now engaged in producing jute blended yarns. The jute industry scenario in India has been changed from making traditional hessian to high end fashion garments. The jute export counts to about 1000 crore, the import of raw jute has been dropped by 66 per cent in 2008-09. The Indian jute industry is having plenty of opportunity by its side; it is not only one of the oldest industries of India but also among the major employer of the nation. There are a lot of strengths and also much chance to seize them but it could only be done if it overcomes its weaknesses and threats.
A study on coping patterns of junior college students
Ramya N,Parthasarathy R
Indian Journal of Psychological Medicine , 2009,
Abstract: The objective of this study was to examine the coping patterns followed by the junior college students. Further, an extensive effort was done to study the gender differences in coping patterns used by the students. This study was conducted in Christ College, Bangalore and on the first and second-year students of pre-university studying in either of the branches (Bachelor of Arts, Science, or Commerce). A total of 120 samples were collected from study population of junior college students using the random sampling method. The sample comprised, 40 students from each group of Arts, Science, and Commerce, including both of the sexes. The tools such as, socio-demographic data sheet and coping checklist, were used. The study findings revealed that majority of the students adopted emotion- and problem-focused coping strategies. Most of the female students adopted emotion-focused coping strategies, whereas the male students mostly used problem-focused coping strategies.
Optimization of Ceric Ammonium Nitrate Initiated Graft Copolymerization of Acrylonitrile onto Chitosan  [PDF]
A. Shanmugapriya, R. Ramya, M. Venkatachalam, P.N. Sudha
Journal of Water Resource and Protection (JWARP) , 2011, DOI: 10.4236/jwarp.2011.36048
Abstract: In the present work, graft copolymerization of polyacrylonitrile onto chitosan has been carried out in the presence of ceric ammonium nitrate redox initiator. Optimization of grafting of polyacrylonitrile onto chito-san was performed by varying the process parameters such as ceric ammonium nitrate (CAN) concentration, polyacrylonitrile concentration and reaction time to study their influence on percent grafting and grafting ef-ficiency. The optimum reaction conditions obtained for grafting of acrylonitrile onto chitosan were reaction time 55 mins, CAN concentration 1% in Con. HNO3, and polyacrylonitrile concentration 0.75 mol/L. The characterization of the grafted products by means of FTIR, thermal analysis, X-ray diffraction and scanning electron microscopy furnished the evidence of grafting of polyacrylonitrile onto chitosan.
A Study on Detection and Classification of Underwater Mines Using Neural Networks
S. N. Geethalakshmi,P. Subashini,S. Ramya
International Journal of Soft Computing & Engineering , 2011,
Abstract: Mine detection and classification using side scansonar imagery is a challenging problem. As opposed to themajority of techniques, several Neural-network-based methodsfor the detection and classification of mines and mine likeobjects have been proposed. Detection and classification ofunderwater objects in sonar imagery is a complicated problem,due to various factors such as variations in operating andenvironmental conditions, presence of spatially varying clutter,variations in target shapes, compositions and orientation.Moreover, bottom features such as coral reefs, sand formations,and the attenuation of the sonar signal in the water column cantotally obscure a mine-like object. Side scan sonar is a proventool for detection of underwater objects. In order to overcomesuch complicated problems detection and classification system isneeded. This method is able to extrapolate beyond the trainingdata and successfully classify mine-like objects (MLOs). Fivebasic components of detection and classification techniques areconsidered namely data preprocessing, segmentation, featureextraction, detection and classification. In this paper nearlyfifteen research papers of neural network techniques have beenreviewed.
Systemwide Safety and Reliability for Intelligent Intersections in Hybrid Systems
Ramya.S.Kumar,N Kumaresan
International Journal of Recent Technology and Engineering , 2012,
Abstract: There is an increasing interest in the automation of driving tasks highway traffic management. We address intelligent intersections design problems, where traffic lights are removed. Cars exercise an interaction of centralized and distributed decision making to negotiate the intersection through. Intelligent intersections are a representative of complex hybrid systems, where the challenge is to design a tractable distributed algorithm that guarantee safety and provide better performance. The architecture should allow distributed freedom of action to cars yet should watch against worst-case behavior of other cars to ensure collision avoidance.
Genetic Variation in Picea mariana × P. rubens Hybrid Populations Assessed with ISSR and RAPD Markers  [PDF]
Ramya Narendrula, Kabwe Nkongolo
American Journal of Plant Sciences (AJPS) , 2012, DOI: 10.4236/ajps.2012.36088
Abstract: Interspecific hybridization can result in significant shifts in allele frequencies. The objective of the present study was to assess the level of genetic variation in populations of P. mariana × P. rubens hybrids derived from artificial crosses. Progenies from backcross populations created through a series of controlled pollinations among P. mariana and P. rubens trees across the hybridization index were analyzed. Several Inter Simple Sequence Repeat (ISSR) and Random Amplified Polymorphic DNA (RAPD) primers were used to amplify genomic DNA samples from each population. ISSR primers produced from 30% to 52% polymorphic loci. The level of polymorphism was higher with RAPD markers, ranging from 57% to 76%. Overall, the two marker systems generated similar levels of polymorphic loci for P. mariana and P. rubens populations. No significant differences were found among the P. mariana × P. rubens populations analyzed and between the hybrids and the parental populations regardless of the molecular marker used. This confirms the genetic closeness of P. mariana and P. rubens species.
Fungal Keratitis and Ocular Surface Squamous Neoplasia in a HIV Positive Patient  [PDF]
Thanuja Pradeep, Ramya Marappa
Open Journal of Ophthalmology (OJOph) , 2016, DOI: 10.4236/ojoph.2016.62015
Abstract: Aim: We report a case of fungal keratitis and Ocular Surface Squalous Neoplasia (OSSN) occurring in a HIV positive patient. Method: A 32-year-old female patient presented with a non-healing ulcer, which was diagnosed as fungal keratitis. On examination her ocular surface also revealed OSSN on the nasal bulbar conjunctiva. Serological investigations revealed HIV positive status with CD 4 counts of 61 cells/μl. Patient was treated for fungal keratitis with topical antifungals and also underwent excision biopsy of OSSN which was reported as conjunctival intraepithelial neoplasia. The ulcer showed significant response to topical medication only after the commencement of Anti-Retroviral Therapy (ART). Conclusion: This case emphasizes on the importance of a thorough ocular examination to rule out associated ocular conditions and investigations to rule out immunosuppressive status in a non-healing ulcer.
A Pipelined Architecture for Batcher’s Sorting Network based Median Filter Design
Ms. L. V. Ramya Javvadi,Mr. K. N. H. Srinivas
International Journal of Electronics and Computer Science Engineering , 2012,
Abstract: Spatial filtering is one of the principal tools used in image processing for a broad spectrum of applications. Median filtering is a nonlinear spatial filtering technique, often used to remove noise and it is very widely used in digital image processing because, under certain conditions, it preserves edges while removing noise. In the paper, median filter is implemented using 16 input Batcher’s odd even merge sorting network which is a better sorting network when compared to the other networks. Images in YUV formats are taken and to show the action of median filtering, noise is introduced into the images by using MATLAB. Now they are processed by the designed median filter and simulated using Modelsim. The timing results are taken on Cyclone II FPGA and the clock rate for the design has got improved and it is found to be around 127MHz. And finally Peak Signal to Noise Ratio(PSNR) is calculated for the set of images.
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