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Umadevi, P.
- Secure and Efficient Query Execution on Preference Keyword Search Data
Abstract Views :469 |
PDF Views:2
Authors
P. Umadevi
1,
J. Shamla
2
Affiliations
1 Computer Science Department, Arulmigu Meenakshi Amman College of Engg., Thiruvannamalai Dt, Near Kanchipuram, Anna University, IN
2 Arulmigu Meenakshi Amman College of Engg., Thiruvannamalai Dt, Near Kanchipuram, Anna University, IN
1 Computer Science Department, Arulmigu Meenakshi Amman College of Engg., Thiruvannamalai Dt, Near Kanchipuram, Anna University, IN
2 Arulmigu Meenakshi Amman College of Engg., Thiruvannamalai Dt, Near Kanchipuram, Anna University, IN
Source
Data Mining and Knowledge Engineering, Vol 6, No 4 (2014), Pagination: 139-145Abstract
Preference aware relational database system is that transparently and efficiently handles queries with different users receive different results based on their personal interests. Preference database employs a preference keyword search knowing the database complicated queries by utilizing user comprises the standard relational operators extended to handle scores and confidences preferences. The conditional part acts as soft constraint that determines which tuples are scored without disqualifying any tuples from the query result. PrefDB separates preference evaluation from tuple filtering. For the first time formalized and solve the problem of effective keyword search over encrypted server data while maintaining keyword privacy. It allows us to define the algebraic properties of the prefer operator and build generic query optimization and processing strategies that are applicable regardless of the type of reference specified in a query or the expected type of answer and separation is a distinguishing feature of work with respect to previous works. Keyword search searching inputs exactly match the predefined keywords based on keyword similarity semantics.Keywords
Database Query, Matchmaking, Query Engine, Query Personalization, Search Context, Search Engine, Semantic Web, Users Preferences.
- Prevalence of Iodine and Iron Deficiencies among Selected School Children and the Effect of Supplementation of Double Fortified Salt
Abstract Views :349 |
PDF Views:0
Authors
P. Umadevi
1,
R. Parvatham
2
Affiliations
1 Dr. N.GP. Arts and Science College, Coimbatore -641 035, IN
2 Avinashilingam Deemed University, Coimbatore - 641 043, IN
1 Dr. N.GP. Arts and Science College, Coimbatore -641 035, IN
2 Avinashilingam Deemed University, Coimbatore - 641 043, IN
Source
The Indian Journal of Nutrition and Dietetics, Vol 43, No 10 (2006), Pagination: 420-428Abstract
The importance of micronutrients in health and diseases has been receiving increasingly greater attention for the past three decades. Iodine Deficiency Disorders (IDD) and Iron Deficiency Anemia (IDA) are the two major micronutrient deficiency diseases with adverse consequences world wide especially for women of reproductive age and young children.- Piperpep - A Database of Experimentally Generated Peptides from Black Pepper (Piper nigrum L.)
Abstract Views :535 |
PDF Views:181
Authors
Affiliations
1 Division of Crop Improvement, ICAR-Indian Institute of Spices Research, Kozhikode 673 012, IN
2 Division of Crop Protection, ICAR-Indian Institute of Spices Research, Kozhikode 673 012, IN
1 Division of Crop Improvement, ICAR-Indian Institute of Spices Research, Kozhikode 673 012, IN
2 Division of Crop Protection, ICAR-Indian Institute of Spices Research, Kozhikode 673 012, IN
Source
Current Science, Vol 111, No 9 (2016), Pagination: 1453-1455Abstract
The Piperpep database is a compilation of peptide data from mass spectrometry analysis of a medicinally important export oriented crop - black pepper, developed by the fact that any mass spectrometry derived data would be an excellent source for genome annotation in future. This database has 1001 peptides, including 36 antimicrobial peptides annotated from the leaf of black pepper. The user friendly browsing and search tools would help the researcher with crop improvement in black pepper and also in other crops via peptide or protein data. The information on antimicrobial peptides in this database is expected to cater towards development of new drugs for agricultural and medicinal uses.Full Text
References
- Ravindran, P. N., In Black Pepper (Piper nigrum L.) (ed. Ravindran, K. C.), Harward Academic Publishers, 2000, pp. 1–22.
- Kuster, R., Proteomics, 2001, 1, 641–650.
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- Kalume, E. D., BMC Genomics, 2005, 6, 128.
- Goyal, R. K. and Matoo, A., Plant Sci., 2014, 228, 135–149.
- Umadevi, P. and Anandaraj, M., Plant Omics, 2015, 8, 500–507.
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- Numerical Study on the Effect of Angle of Inclination on Magnetoconvection Inside Enclosure with Heat Generating Solid Body
Abstract Views :548 |
PDF Views:3
Authors
Affiliations
1 Department of Mathematics, Dr. NGP Arts and Science College, Tamilnadu, IN
2 Department of Mathematics, Bharathiar University, Tamilnadu, IN
3 Department of Mechanical Engineering, Firat University, TR
1 Department of Mathematics, Dr. NGP Arts and Science College, Tamilnadu, IN
2 Department of Mathematics, Bharathiar University, Tamilnadu, IN
3 Department of Mechanical Engineering, Firat University, TR
Source
The Journal of the Indian Mathematical Society, Vol 86, No 3-4 (2019), Pagination: 341-358Abstract
Convective ow and heat transfer of uid inside a square en- closure having heat generating solid body, with various thermal boundary conditions is investigated numerically. The top wall of the enclosure is adiabatic, both the bottom and right walls are kept at constant temper- ature, while the left wall is heated using sin function. Numerical simu- lations is carried out by solving the governing equations using SIMPLE algorithm by means of the nite-volume method with power-law scheme. The important parameters focused are angle of inclination of the enclo- sure, area ratio of solid-enclosure, Hartmann number and temperature dierence ratio of solid- uid, which are ranges 0o - 90o, 0:0625 - 0:5625, 0 - 100 and 0 - 50, respectively. Thermal conductivity ratio of solid- uid is xed as 5 and Rayleigh number as 105.Keywords
Angle of Inclination, Convection, Finite Volume Method, Hartmann Number and Sinusoidal Heating.References
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