- C. Sankar
- R. Marimuthu
- P. Jeyakumar
- R. K. Tanwar
- S. Sathyakumar
- O. M. Bambawale
- V. V. Ramamurthy
- Barik Anupam
- J. John Jeyasekar
- M. Pugalenthi
- K. Prasanna
- K. Janardhanan
- B. Akshaya
- S. K. Akshaya
- S. Gayathri
- R. Satish Srinivas
- C. S. Anish Balaji
- J. Cyril Robinson Azariah
- A. Samson Nesaraj
- G. Srikesh
- K. Nattudurai
- C. Sivapragasam
- V. Akhila Reddy
- Journal of Biological Control
- Journal of Information and Knowledge (Formerly SRELS Journal of Information Management)
- Programmable Device Circuits and Systems
- Biometrics and Bioinformatics
- Indian Journal of Science and Technology
- International Journal of Innovative Research and Development
- Journal of Engineering Education Transformations
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Saravanan, P.
- Predators and Parasitoids of Cotton Mealybug, Phenacoccus solenopsis Tinsley (Hemiptera: Pseudococcidae) in Perambalur District of Tamil Nadu
Authors
1 Hans Roever Krishi Vigyan Kendra (ICAR), Valikandapuram, Perambalur, 621115, Tamil Nadu, IN
2 National Centre for Integrated Pest Management (ICAR), Pusa campus, New Delhi, 110012, IN
3 Division of Entomology, Indian Agricultural Research Institute, New Delhi, 110012, IN
4 Ministry of Agriculture, Govt. of India, Mumbai, 400001, Maharashtra, IN
Source
Journal of Biological Control, Vol 25, No 3 (2011), Pagination: 242-245Abstract
Solenopsis mealybug, (Phenacoccus solenopsis) infests cotton at Perambalur district of Tamil Nadu. During the surveys carried out during 2008-10, coccinellids Scymnus nubilus Mulsant, Hyperaspis maindroni Sicard, green lacewing, spiders, Aenasius bambawalei Hayat, Homalotylus eytelwenii Ratzeburg (Encyrtidae) Promuscidea unfasciativentris Girault and Coccophagus sp. (Aphelinidae) were recorded. The per cent emergence of S. nubilus was highest (68%) during second week of February and lowest (6%) during last week of November. The highest percentage (18%) of H. maindroni was recorded during second week of February and lowest (2%) during third week of March. The highest parasitisation (76%) by A. bambawalei was recorded during last week of February whereas it was lowest (8%) during last week of December. Similarly, the highest parasitisation (28%) by P. unfasciativentris was recorded during third week of February whereas it was lowest (2%) during third week of March. But the percent parasitized mealybug by Coccophagus sp. was very lower than others. A. bambawalei and P. unfasciativentris were most common parasitoids on mealybug P. solenopsis in cotton.Keywords
Mealybug, Phenacoccus solenopsis, Predators, Parasitoids.References
- Anil, K., Kurtadikar, J. S., Wadnerkar, D. W. and Nemade, P. W. 2008. Studies on the safety of pesticides to grapevine mealybug predator, Cryptolaemus montrouzieri Aiyar. Pestology, 32 (4):17–27.
- Ben-Dov, Y. 1994. A systemic catalogue of the mealybugs of the World. Intercept Limited, UK, 686 p.
- Dhawan, A. K., Sarika Saini and Kamaldeep Singh. 2008. Evaluation of novel and conventional insecticides for management of mealybug, Phenacoccus solenopsis Tinsley, in Punjab. Pesticide Research Journal, 20: 214–216.
- Fuchs, T. W., Stewart, J. W., Minzenmayer, R. and Rose, M. 1991. First record of Phenacoccus solenopsis Tinsley in cultivated cotton in the United States. South western Entomologist, 16: 215–221.
- Hodgson, C. J., Abbas, G., Arif, M. J., Saeed, S. and Karar, H. 2008. Phenacoccus solenopsis Tinsley (Sternorrhyncha: Coccoidea: Pseudococcidae), an invasive mealybug damaging cotton in Pakistan and India, with a discussion on seasonal morphological variation. Zootaxa, 1913: 1–35.
- Kharbade, S. B., Mehetre, S. S., Chandele, A. G. and Dokhe, S. D. 2010. Record of Aenasiua bambawalei (Hayat) parasitoid on cotton mealybug Phenacoccus solenopsis (Tinsley). Pestology, 34: 8–10.
- Nagrare, V. S., Kranthi, S., Biradar, V. K., Zade, N. N., Sangode, V., Kakde, G., Shukla, R. M., Shivare, D., Khadi, B. M. and Kranthi, K. R. 2009. Widespread infestation of the exotic mealybug species, Phenacoccus solenopsis Tinsley (Hemiptera: Pseudococcidae), on cotton in India. Bulletin of Entomological Research, 99: 537–541.
- Rishi Kumar, Monga, D. and Kranthi, K. R. 2008. Potential parasitiod of mealybug, Phenacoccus solenopsis Tinsley in cotton. Central Institute of Cotton Research, Nagpur. Newsletter, July-September, 2008, 24: 2.
- Saini, R. K., Palaram Sharma, S. S. and Rohilla, H. R. 2009. Mealybug, Phenacoccus solenopsis Tinsley and its survival in cotton ecosystem in Haryana. In Procceedings of National Symposium on Bt-cotton: Opportunities and Prospects, Central Institute of Cotton Research, Nagpur, November 17-19, 85 pp.
- Vennila, S., Ramamurthy, V. V., Kranthi, K. R., Ghodki, B. S. and Pinjarkar, D. B. 2008. Parasitoids on mealybugs of rainfed cotton. Central Institute of Cotton Research, Nagpur. Newsletter, July-September., 2008, 24: 3–4.
- Williams, D. J. and Granara de Willink, M. C. 1992. Mealybugs of Central and South America. 635 pp. CAB International.
- Indian Forensic Science Research Literature: A Bibliometric Study of its Growth, Authorship and Publication Patterns
Authors
1 Forensic Sciences Department, Mylapore, Chennai - 4, IN
2 Lekshmipuram College of Arts & Science, Kanyakumari District, IN
Source
Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 52, No 1 (2015), Pagination: 67-75Abstract
A bibliometric analysis of the growth, authorship and publication patterns of forensic science literature for the period 2001 to 2013 was done using the data obtained from PubMed. MS-Excel worksheet was used for data analysis. The study revealed the exponential growth of forensic science literature. The relative growth rate fell from 0.83 in the year 2002 to 0.17 in the year 2013. The mean collaborative Index was 3.5; mean degree of collaboration was 0.89; mean collaborative coefficient was 0.6119 and mean modified collaborative coefficient was 0.6121 during the period of study. Forty one authors have contributed more than one percent of the total publication. Ten journals have contributed more than one percent of the total papers. Among these 'Journal of Forensic&Legal Medicine' ranks first with 16.10% papers. Cluster map of co-words was also created using VOSviewer.Keywords
Authorship Pattern, Bibliometrics, Forensic Science, Research Collaboration.- An Ameliorated Linux Based Navigational Device
Authors
1 Department of Electronics and Communication, Hindustan University, Chennai, IN
Source
Programmable Device Circuits and Systems, Vol 4, No 12 (2012), Pagination: 633-637Abstract
The navigational tools are plays a vital role to find the route of ships. Among that path manoeuvrings equipment is an important equipment of the navigation system which uses manoeuvring all-digital operation technology to help people to use a sea chart digitally. Here presented a design of a new device based on the integrated navigation theory and the conventional apparatus. In this new system adopted the embedded architecture based on ARM, and the Linux real-time operating system was selected as the software platform, and use the Integrated Development Environment to achieve functional. To use ARM, this has high definition and less power consumption, and the real-time-system of Linux. This new device has more functions, high stability, less weight, less volume, less cost, less power consumption and accuracy of the device is maintained by the federated filter algorithm.Keywords
Inertial Navigation, ARM Linux Porting, QT Framework, Federated Kalman Filtering.- Effect of Differential Processing Methods on Elimination of Oligosaccharides in an Underutilized Food and Feed Source, Mucuna Beans
Authors
1 Department of Botany, Government Arts College, Coimbatore - 641 018, Tamil Nadu, IN
2 Department of Biotechnology, Prathyusha Institute of Technology and Management, Aranavayalkuppam, Thiruvallur-602025, Tamil Nadu, IN
Source
Biometrics and Bioinformatics, Vol 4, No 3 (2012), Pagination: 125-129Abstract
Legumes (pulses) contain a wide array of antinutritional factors (ANFs) associated with their nutrients. Suitable scientific and technological processing methods are needed for the elimination of ANFs without affecting the nutritional potential of the pulses. In the present study the selected underutilized pulses [Mucuna monosperma DC wall ex and Mucuna pruriens var. utilis. (Dc wall ex Wight) (Baker ex Burck)] were subjected to differential processing methods to assess their effectiveness in eliminating oligosaccharides which cause flatus in consuming humans. Between the two treatments (soaking followed by cooking and crude α-galactosidase treatment), the crude α-galactosidase enzyme treatment is found to be more effective in eliminating significant levels of oligosaccharides (70-90%).
Keywords
Western Ghats, Underutilized Pulses, Antinutritional Factors, Oligosaccharides, Crude Α-Galactosidase.- Investigation of Bi-Max Algorithm for On-Line Purchase Recommender System using Social Networks
Authors
1 School of Computing, SASTRAUniversity, Tirumalaisamudram, Thanjavur – 613401. Tamilnadu, IN
Source
Indian Journal of Science and Technology, Vol 9, No 44 (2016), Pagination:Abstract
Objectives: Recommender systems in an E-commerce scenario, aim at improving a product’s visibility to a customer. Existing recommendation systems incorporate traditional algorithms and have not been built to consider many behavioral patterns of the user. This opens a huge scope for improvement. Methods/Statistical Analysis: The proposed research work is set to an emphasis on the user’s social network, location, history, patterns based on history (time series), relationship between users, similarity between users and similarity between the items that are in the subset of recommendations to be made. The raw data collected is first fed into a Bi-clustering algorithm called the Bi-Max. Then, Pearson’s Coefficient is used to find the degree of similarity and filter out similar users based on a set threshold. Further filtering is done based on user networks and location of the user based on their latitudinal and longitudinal data obtained. Findings: The similar product has identified based on the degree of similarity. Similar users have been filtered out from the large set of users. It is much more likely that a given user will find a product that they would be interested in. Applications/Improvements: The proposed system has been used for the online purchase of any product. The performance of the proposed system was compared with the traditional approach of K-Means algorithm and the results show increased efficiency produced the recommendation by the proposed model.Keywords
Bi-Max Algorithm, Online Purchase, Recommender System, Social Network, Time Series.- Online Product Recommendation using Relationships and Demographic Data on Social Networks
Authors
1 School of Computing, SASTRA University, Thanjavur, IN
Source
Indian Journal of Science and Technology, Vol 9, No 44 (2016), Pagination:Abstract
Objectives: There have been many traditional product recommender systems in the past, but they were mostly based on collaborative or content filtering, historical transaction records or website browsing history of the users. This approach leads to sparsity and cold-start issues. Methods/Statistical Analysis: The proposed system is a hybrid one and can improve the suitability and the accuracy of recommender systems with the help of users’ and products’ demographic info and the ratings of a brand name, constantly updated in the e-commerce and social media websites. Findings: Experiments on the actual dataset reveal that friends with similar tendencies select the similar items and this approach can solve the relevant data sparsity and cold start problems. Initially, the system loads the data about the friends who have given product ratings and selects a target cold start user. Then it predicts his/her tech level and cost level using BMART algorithm. With the help of these, it finds the user-friends and user-items similarity using the cosine and Euclidean cluster similarity methods respectively. It then feeds these into the proposed ranking algorithm to find the relevance scores of the products to the target user and based on this the recommended product links are displayed. Application/Improvement: The outputs reveal that the proposed system gives very accurate and personalized product recommendations to the user.Keywords
Hybrid Ranking, Recommender System, Regression Ranking, Relevance Score, Social Media.- Flexible TFT Using Stacked Nano Zro2/Al2o3
Authors
Source
International Journal of Innovative Research and Development, Vol 2, No 5 (2013), Pagination:Abstract
The ever growing Semiconductor industry is turning today towards high-κ gate dielectrics in transistor manufacturing processes to meet the need for higher speed transistors while keeping power consumption under control. The thickness of silicon dioxide (SiO2) is very less so it produces the tunneling current leakage, high power consumption and produces high heat when scaling of the transistor. A technique has been developed to fabricate a Thin Film Transistors (TFT) using stacked high- κ nanomaterials. Here in this work using stacked ZrO2 and Al2O3 as high-κ dielectric nanomaterials, ITO/PET substrate which is flexible, and ZnO as a semiconducting layer provides high performance to the device. Through this proposed approach the above problems are solved and the transistor could be shrunk below 32 nm.
Keywords
high-κ dielectric, nano – Zirconia (ZrO2), nano – Alumina (Al203), TFT- Improving the Understanding of Epanet Software Via Case Studies
Authors
1 Center for Water Technology, Department of Civil Engineering, Kalasalingam Academy of Research and Education (Deemed to be University) Anandnagar, Krishnankoil-626126, IN
Source
Journal of Engineering Education Transformations, Vol 32, No 4 (2019), Pagination: 12-19Abstract
EPANET is widely used for pipe network analysis. The EPANET manual, although very detailed, still lacks simple case study examples to help students to appreciate its application better. This study is designed to demonstrate the manual calculations and its verification through EPANET for simple pipe flow problems in fluid mechanics course of civil engineering curriculum. The case study examples are solved by involving the students themselves. This has not only created a deeper interest in the course but also helped the students to understand the advantages and limitations of using software.Keywords
Epanet, Pipe Flow, Civil Engineering, Fluid Mechanics, Case Studies.References
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- Khan, K A., and Akhter, G.(2015) Computerbased experiments for learning seismic signal processing concept. International Journal of Computer Applications in Engineering Education 23, 959-966.
- Pitt, R., Clark, S., and Maestre A.(2004) A stepby-step guide to EPANET 2.0 simulations (2004).
- Rasooli, A., Kang,D.,(2016) Design of hydraulically balanced water distribution network based on GIS and EPANET, International Journal of Advanced Computer Science and Applications, 7(2), 118-125.
- Rossman, L A. (2000) EPANET2 User Manual. U.S. Environmental Protection Agency.
- Sivapragasam, C., Aishwarya,S., Uma, R., Karthik, G., and Kannabiran,K.(2015) Genetic programming based simple decision support system for pipe network operation. International Journal of Earth Science and Engineering, 8(1), 302-306.
- Sivaselvan, M.V (2014)Failure analysis of engineering structures in undergraduate courses using optimization. International Journal of Computer Applications in Engineering Education 22 , 297–308.
- Turker, H T., Coskun, H., and Mertayak, C.(2016) Innovative experimental model and simulation method for structural dynamics concept.International Journal of Computer Applications in Engineering Education 24, 421-427.
- Zhou, X-L., Wang. J-H.(2016) Interactive computer for teaching biot poroelasticity modeling in civil engineering. International Journal of Computer Applications in Engineering