IMPACT OF INTERNET IN ACADEMIC EFFICIENCY OF STUDENTS AMONG ENGINEERING GRADUATES

In the modern digital world, Internet service play a crucial role in enriching new trends among young graduates. Internet have empowered new technology to young learners to progress their academic work. It is very essential to measure the impact of internet service among engineering graduates which paved the way for higher studies and employment. Digital era may oblige to learn everything in their routine life with new techniques. In this study, questionnaire is structured and issued to 180 engineering graduates around 3 colleges in Tirunelveli district. Out of 180, 164 responded and get collected. After analyzing , we came to know that 44.43 % of the respondent have strongly agree the positive impact in their academic way. In turn, 41.29% of the respondent have strongly agree the negative impact in their academic way

Scientometric Analysis of Seaweed Research with reference to Web of Science

A total of 5814 publications were published in seaweed research globally during the study period 2005 – 2014. The highest number of publications was published in 2014 with 883 (15.19%). The highest Total Local Citation Scores (TLCS) and Total Global Citation Scores (TGCS) were recorded in 2008, 2460 (14.99%) and 9724 (15.50%) respectively. The mean relative growth of seaweed research is 0.1015 and the average doubling time is 8.532. The collaborative research is predominant in seaweed research globally. The degree of collaboration is 0.947. Jeon, Y. J secure first position with 51 contributions (0.90%). ChineseAcademyof Sciences, China contributed 172 publications and score first rank. Research articles were predominant than any other document types. Journal of Applied Phycology contributed 390 (6.71%) publications and score first position. USAcontributed 645 (11.10%) publications and place first position. English is most preferred language of seaweed research publications. DuBois, Michel, K. A. Gilles, J. K. Hamilton, P. A. Rebers, Fred. Smith. (1956). Colorimetric Method for Determination of Sugars and Related Substances. Anal. Chem., 28 (3), pp 350–356, DOI 10.1021/ac60111a017 was cited in 239 publications and score first position.ChineseAcademy of Sciences,China had 172 Publications with 29455 bibliographic coupling with other institutes

IMPACT OF INTERNET IN ACADEMIC EFFICIENCY OF STUDENTS AMONG ENGINEERING GRADUATES

In the modern digital world, Internet service play a crucial role in enriching new trends among young graduates. Internet have empowered new technology to young learners to progress their academic work. It is very essential to measure the impact of internet service among engineering graduates which paved the way for higher studies and employment. Digital era may oblige to learn everything in their routine life with new techniques. In this study, questionnaire is structured and issued to 180 engineering graduates around 3 colleges in Tirunelveli district. Out of 180, 164 responded and get collected. After analyzing , we came to know that 44.43 % of the respondent have strongly agree the positive impact in their academic way. In turn, 41.29% of the respondent have strongly agree the negative impact in their academic way

Mapping of Cyprinus carpio research: a global perspectives

Considering the importance of fish culture to meet out the needs of livelihood and nutrition, this study has been carried out to identify the highly productivity institutions, author, country, countries international collaboration and citation impact on Cyprinus carpio research. This study revealed that USA was the predominant country contributed more number of publications with low relative collaboration. Svobodova, Z from Czech Republic contributed more number of publications, whereas none from USA came under top 20 authors. Though Chinese Academy of Science, China was ranked 1st in total publication, the relative collaboration 14th position only. The Netherlands and Agricultural University of Wageningen had the highest relative citation impact. Aquaculture from Elsevier was ranked 1st among the journals

Multimedia data processing for high rate, short range radio

Utilizing the field programmable gate arrays (FPGA) for a base band design to provide a unique solution for data packetizing (data link layer issues with the OSIreference model) and secured transmission of multimedia (audio) data regardless of the channel used for transmission.Master of Science (Computer Control and Automation

INDIAN RESEARCH CONTRIBUTIONS IN THE AQUACULTURE JOURNAL DURING 1972 – 2011: A SCIENTOMETRIC STUDY

The total number of publications contributed by the Indian authors in the Aquaculture journal was 374 during the study period 1972 – 2011. The highest numbers of papers were published during 2002 – 2006 with 103 contributions; especially in 2006 there were 47 contributions. The least number of papers was recorded during 1972 – 1976 with 9 contributions. The percentage of Indian contribution was 2.74. Overall, 1373 authors contributed 374 publications in the Aquaculture journal. Among these, two authored publications were 114 (30.48%), more than that of any other authorship pattern. The degree of collaborations was 0.98. A total of 1373 authors contributed 374 publications with an average of 3.67 authors per paper. 600 (43.70%) authors contributed one publication each. Among the Indian authors, A. S. Sahul Hameed scored first rank with 27 publications. Central Institute of Freshwater Aquaculture (ICAR), Bhubaneswar, Odisha scored first rank with 40 publications among Indian Institutions. Tamil Nadu secured first position with 133 contributions. Original articles were predominant in the Aquaculture journal. The publication of I. Karunasagar et al. (1994) has highest citation both in SCOPUS database (240) and Google Scholar database (380). More research was carried out in the Penaeus monodon with 39 publications

Evolutionary algorithm-based classifier parameter tuning for automatic ovarian cancer tissue characterization and classification

Purpose: Ovarian cancer is one of the most common gynecological cancers in women. It is difficult to accurately and objectively diagnose benign and malignant ovarian tumors using ultrasound and other tests. Hence, there is an imperative need to develop a computer-aided diagnostic (CAD) system for ovarian tumor classification in order to reduce patient anxiety and the cost of unnecessary biopsies. In this paper, we present an automatic CAD system for the detection of benign and malignant ovarian tumors using advanced image processing and data mining techniques. Materials and Methods: In the proposed system, Hu's invariant moments, Gabor transform parameters and entropies are first extracted from the acquired ultrasound images. Significant features are then used to train a probabilistic neural network (PNN) classifier for classifying the images into benign and malignant categories. The model parameter (σ) for which the PNN classifier performs the best is identified using a genetic algorithm (GA). Results: The proposed system was validated using 1300 benign images and 1300 malignant images, obtained from 10 patients with a benign disease and 10 with a malignant disease. We used 23 statistically significant (p < 0.0001) features. By evaluating the classifier using a ten-fold cross-validation technique, we were able to achieve an average classification accuracy of 99.8 %, sensitivity of 99.2 % and specificity of 99.6 % with a σ of 0.264. Conclusion: The proposed system is automated and hence is more objective, can be easily deployed in any computer, is fast and accurate and can act as an adjunct tool in helping physicians make a confident call about the nature of the ovarian tumor under evaluatio

Atherosclerotic risk stratification strategy for carotid arteries using texture-based features

Plaques in the carotid artery result in stenosis, which is one of the main causes for stroke. Patients have to be carefully selected for stenosis treatments as they carry some risk. Since patients with symptomatic plaques have greater risk for strokes, an objective classification technique that classifies the plaques into symptomatic and asymptomatic classes is needed.We present a computer aided diagnostic (CAD) based ultrasound characterization methodology (a class of Atheromatic systems) that classifies the patient into symptomatic and asymptomatic classes using two kinds of datasets: (1) plaque regions in ultrasound carotids segmented semi-automatically and (2) far wall gray-scale intima-media thickness (IMT) regions along the common carotid artery segmented automatically. For both kinds of datasets, the protocol consists of estimating texture-based features in frameworks of local binary patterns (LBP) and Law's texture energy (LTE) and applying these features for obtaining the training parameters, which are then used for classification. Our database consists of 150 asymptomatic and 196 symptomatic plaque regions and 342 IMT wall regions. When using the Atheromatic-based system on semiautomatically determined plaque regions, support vector machine (SVM) classifier was adapted with highest accuracy of 83%. The accuracy registered was 89.5% on the far wall gray-scale IMTregions when using SVM, K-nearest neighbor (KNN) or radial basis probabilistic neural network (RBPNN) classifiers. LBP/LTE-based techniques on both kinds of carotid datasets are noninvasive, fast, objective and cost-effective for plaque characterization and, hence, will add more value to the existing carotid plaque diagnostics protocol.We have also proposed an index for each type of datasets: AtheromaticPi, for carotid plaque region, and AtheromaticWi, for IMT carotid wall region, based on the combination of the respective significant features. These indices show a separation between symptomatic and asymptomatic by 4.53 units and 4.42 units, respectively, thereby supporting the texture hypothesis classificatio