• Journal of Korean Library and Information Science Society
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• v.37 no.4
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• pp.23-44
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• 2006

This paper presents the organization structure of the Public Library System in Tamil Nadu, the first state in the Indian Republic, and brings out the growth of public libraries in Tamil Nadu after the approval of the library reorganization committee recommendations. Appraises the performance of the Public Library System in Tamil Nadu from 1975 to 2006. An analysis has been made about the nature and adequacy of the existing resources in the public library system in the state of Tamil Nadu, based on the analysis of the statistical data relating to public libraries and their use collected from the annual administration reports of the Directorate of Public Libraries, Government of Tamil Nadu. Based on the analysis and observationsa few suggestions are given for the development of public library system and services in India general and Tamil Nadu in particular.

• International Journal of Knowledge Content Development & Technology
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• v.9 no.3
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• pp.7-22
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• 2019

This Study examines and explores through a web metric ranking analysis of the websites of 22 state universities in Tamil Nadu. It discussed the domain systems of the websites; WISER Web ranking for the year 2016 and 2017. Similarly, the researchers manipulated a new ranking tools for ranking the websites of State universities of Tamil Nadu, According to WISER ranking, Anna University is ranked first with 2469.4 WISER value followed by Tamil Nadu Agricultural University which is ranked second with 4031.4 WISER value. University of Madras is ranked third with 4333.8 WISER values in the year 2017. But when we used the PRIMOEX ranking, Anna University is ranked first with 3653.3 PRIMOEX value followed by Tamil Nadu Agricultural University which is ranked second with 4090.6 PRIMOEX value. Madurai Kamaraj University is ranked third with 4136.1 PRIMOEX values. Alagappa University is ranked fourth with 4956.1 PRIMOEX value and Alagappa University with 6001.9 PRIMOEX value is ranked fifth. It found that PRIMOEX good tool to measure the ranking of websites of state universities of Tamil Nadu.

• Journal of Microbiology and Biotechnology
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• v.30 no.7
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• pp.1013-1017
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• 2020

Mealybugs (Hemiptera: Coccomorpha: Pseudococcidae) harbor diverse microbial symbionts that play essential roles in host physiology, ecology, and evolution. In this study we aimed to reveal microbial communities associated with two different mealybugs, papaya mealybug (Paracoccus marginatus) and two-tailed mealybug (Ferrisia virgata) collected from the same host plant. Comparative analysis of microbial communities associated with these mealybugs revealed differences that appear to stem from phylogenetic associations and different nutritional requirements. This first report on both bacterial and fungal communities associated with these mealybugs provides a preliminary insight on factors affecting the endomicrobial communities.

• Journal of Information Science Theory and Practice
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• v.4 no.4
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• pp.30-48
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• 2016

Information seeking behaviour is an activity of an individual in the process of identifying information that suits his/her knowledge pursuit. It is observed from the review of literature that there is no single study on the information seeking behaviour of faculties of pharmacy either at state level or national levels in India. Therefore this research has been conducted to bridge the gap on information seeking behaviour of pharmacy faculty in Tamil Nadu in view of the recent developments in information seeking behaviour, with objectives such as: to identify the information needs and seeking behaviour of faculty of the pharmacy educational institutions in Tamil Nadu (India); to examine the motivating factors for information seeking behaviour of the pharmacy faculty; to examine faculty opinions about the comprehensiveness or otherwise of respective institutions' library collections; and to analyse the extent of use and dependence on various sources of information for teaching and research. A total of 729 questionnaires have been distributed among 41 pharmacy educational institutions in Tamil Nadu, out of which 601 have responded, and the response rate is 82.44%. Based on the findings of the study certain implications have been derived as measures to enhance the quality of the pharmacy libraries in Tamil Nadu.

• Journal of Korean Society for Geospatial Information Science
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• v.15 no.4
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• pp.51-58
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• 2007

Information on forest type and cover density status of the present and past on large scale (1:50,000) is very much needed for conservation of any forest region. Such large-scale maps are not available for the Eastern Ghats (EG) of Tamil Nadu. This study deals with the preparation of forest type and cover density map of EG of Tamil Nadu during 2003 and the changes it has undergone between 1990 and 2003 using appropriate satellite data. About 10 forest types have been identified and mapped. Major changes have been observed in the forest types such as evergreen, and deciduous.

• Journal of Audiology & Otology
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• v.23 no.4
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• pp.181-186
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• 2019

Background and Objectives: This study compared the perception of mono-syllabic and bisyllabic words in Tamil by young normal hearing adults in the presence of multi-talker speech babble at two signal-to-noise ratios (SNRs). Further for this comparison, a speech perception in noise test was constructed using existing mono-syllabic and bi-syllabic word lists in Tamil. Subjects and Methods: A total of 30 participants with normal hearing in the age range of 18 to 25 years participated in the study. Speech-in-noise test in Tamil (SPIN-T) constructed using mono-syllabic and bi-syllabic words in Tamil was used as stimuli. The stimuli were presented in the background of multi-talker speech babble at two SNRs (0 dB and +10 dB SNR). Results: The effect of noise on SPIN-T varied with SNR. All the participants performed better at +10 dB SNR, the higher of the two SNRs considered. Additionally, at +10 dB SNR performance did not vary significantly for neither mono-syllabic or bi-syllabic words. However, a significant difference existed at 0 dB SNR. Conclusions: The current study indicated that higher SNR leads to better performance. In addition, bi-syllabic words were identified with minimal errors compared to mono-syllabic words. Spectral cues were the most affected in the presence of noise leading to more of place of articulation errors for both mono-syllabic and bi-syllabic words.

• Korean Journal of Audiology
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• v.23 no.4
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• pp.181-186
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• 2019

Background and Objectives: This study compared the perception of mono-syllabic and bisyllabic words in Tamil by young normal hearing adults in the presence of multi-talker speech babble at two signal-to-noise ratios (SNRs). Further for this comparison, a speech perception in noise test was constructed using existing mono-syllabic and bi-syllabic word lists in Tamil. Subjects and Methods: A total of 30 participants with normal hearing in the age range of 18 to 25 years participated in the study. Speech-in-noise test in Tamil (SPIN-T) constructed using mono-syllabic and bi-syllabic words in Tamil was used as stimuli. The stimuli were presented in the background of multi-talker speech babble at two SNRs (0 dB and +10 dB SNR). Results: The effect of noise on SPIN-T varied with SNR. All the participants performed better at +10 dB SNR, the higher of the two SNRs considered. Additionally, at +10 dB SNR performance did not vary significantly for neither mono-syllabic or bi-syllabic words. However, a significant difference existed at 0 dB SNR. Conclusions: The current study indicated that higher SNR leads to better performance. In addition, bi-syllabic words were identified with minimal errors compared to mono-syllabic words. Spectral cues were the most affected in the presence of noise leading to more of place of articulation errors for both mono-syllabic and bi-syllabic words.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.6
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• pp.1540-1561
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• 2024

This research proposes a novel approach for Tamil Handwritten Character Recognition (THCR) that combines feature selection and ensemble learning techniques. The Tamil script is complex and highly variable, requiring a robust and accurate recognition system. Feature selection is used to reduce dimensionality while preserving discriminative features, improving classification performance and reducing computational complexity. Several feature selection methods are compared, and individual classifiers (support vector machines, neural networks, and decision trees) are evaluated through extensive experiments. Ensemble learning techniques such as bagging, and boosting are employed to leverage the strengths of multiple classifiers and enhance recognition accuracy. The proposed approach is evaluated on the HP Labs Dataset, achieving an impressive 95.56% accuracy using an ensemble learning framework based on support vector machines. The dataset consists of 82,928 samples with 247 distinct classes, contributed by 500 participants from Tamil Nadu. It includes 40,000 characters with 500 user variations. The results surpass or rival existing methods, demonstrating the effectiveness of the approach. The research also offers insights for developing advanced recognition systems for other complex scripts. Future investigations could explore the integration of deep learning techniques and the extension of the proposed approach to other Indic scripts and languages, advancing the field of handwritten character recognition.

• Journal of Electrical Engineering and Technology
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• v.11 no.6
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• pp.1793-1801
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• 2016

Speech enhancement is a challenging problem due to the diversity of noise sources and their effects in different applications. The goal of speech enhancement is to improve the quality and intelligibility of speech by reducing noise. Many research works in speech enhancement have been accomplished in English and other European Languages. There has been limited or no such works or efforts in the past in the context of Tamil speech enhancement in the literature. The aim of the proposed method is to reduce the background noise present in the Tamil speech signal by using wavelets. New modified thresholding function is introduced. The proposed method is evaluated on several speakers and under various noise conditions including White Gaussian noise, Babble noise and Car noise. The Signal to Noise Ratio (SNR), Mean Square Error (MSE) and Mean Opinion Score (MOS) results show that the proposed thresholding function improves the speech enhancement compared to the conventional hard and soft thresholding methods.

• The Korean Journal of Ecology
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• v.21 no.6
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• pp.805-808
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• 1998

The methanolic crude leaf extract of Acacia melanoxylon shows inhibitory effects on seed germination, shoot growth, root growth and biomass of black gram (Phaseolus mungo L. Co 1) and weeds (Cassia occidentalis L. and Cyperus rotundus L.). The post emergence treatment was given on the 8th day after sowing and 4-6 days after seedling emergence. After postemergence treatment with 20% extract concentration, wilting symptoms appeared in P. mungo and C. occidentalis while necrosis occurred in C. rotundus. The seedling growth was inhibitory at all concentrations (5%, 10%, 20%) as compared to control plants. This inhibitory effect may be due to the presence of allelochemicals like phenolics in the A. melanoxylon leaves. Different types of phenolic acids were identified.