Informatics Publishing Limited

R. Kanagavalli ¹, A. Poobalan ¹, P. Ravi ²

Affiliations
1 Department of Computer Science and Engineering, Anna University of Technology, Tiruchirappalli, Tamilnadu-602024, IN
2 Department of Computer Science and Engineering, Sri Durgadevi Polytechnic College, Kavaraipettai, Chennai-601206, IN

Abstract

New applications such as sensor data monitoring and mobile device tracking, rise up the issue of uncertain data management. Compared to "certain" data, the data in the uncertain database are not exact points, which, instead, often reside within a region. Here the study ranked queries over the uncertain data. The existing system such as decision making, recommendation raising, and data mining tasks proposes only for certain data. We define several fundamental properties including performance, radius range, unique-range, value-invariance and stability. Robust novel solutions speed up the probabilistic ranked query (PRank) with monotonic preference functions over the uncertain database. Specifically, Introduced two effective pruning methods: Spatial and Probabilistic pruning, these reduce the PRank search space. A special case of PRank with linear preference function is also studied and seamlessly integrate these pruning heuristics into the PRank query procedure. A preference function specified by users, a ranked query retrieves k data objects in the database such that their scores (calculated by the given preference function) are the highest. The proposed system tackles the PRank query processing over the join of two distinct uncertain databases. Extensive experiments will be conducted to demonstrate the efficiency and effectiveness in answering PRank queries.

Keywords

Minimum Bounding Rectangles, PRank, J-PRank, Spatial Pruning and Probabilistic Pruning.

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T. Ramanji Reddy , P. Ravi , B. V. R. Krishna , D. Padmavathi , Ch. Ajay Babu

Abstract

Prosolve, a new directly compressible vehicle consists of microcrystalline cellulose (98%) and colloidal silicon dioxide (2%). Piroxicam (20 mg) tablets, celecoxib (100 mg) tablets and aceclofenac (100 mg) tablets were formulated employing prosolve and three super disintegrants namely pregelatinised starch, sodium starch glycolate and croscarmellose sodium by direct compression method with a view to enhance their dissolution rate. In the micromeritic evaluation microcrystalline cellulose and its blends with other tablet ingredients exhibited excellent to good flow needed for direct compression. All the tablets formulated employing prosolve fulfilled the Pharmacopoeial standards with regard to various tablet characters. These tablets also gave 2 to 5 fold increase in the dissolution rate when compared to commercial tablets. Among the three disintegrants sodium starch glycolate gave higher dissolution rates when compared with both pregelatinised starch and croscarmellose sodium.

Keywords

Prosolve, Piroxicam, Celecoxib, Aceclofenac and Direct Compression Method.

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P. Ravi ¹, G. Bhupal Raj ¹, G. Jayasree ¹, G. S. Pratyusha Kranthi ²

Affiliations
1 Department of Soil Science and Agricultural Chemistry, College of Agriculture, PJTSAU, Hyderabad, Telangana, IN
2 CRIDA, Hyderabad, Telangana, IN

Abstract

A systematic set of geo-referenced 154 soil samples were collected from the Karimnagar district, Telangana state, India, covering the entire rice growing area using GPS (Global positioning system) and the maps showing the spatial variability of individual macronutrients (N, P, K and S) were generated using Arc-info GIS (Geographic information system). The soil samples were analysed for physicochemical properties and available macronutrients. The available N status ranged from 119.17-784.0 kg ha^-1 while the available P, K and S status varied from 12.61-88.46 kg ha^-1, 105.68-754.4 kg ha^-1 and 5.85-75.5 mg kg^-1 respectively. Analytical results and the GPS data were used for the preparation of thematic map showing spatial distribution of N, P, K and S status, mandal-wise in the district. Locations of soil sampling sites of Karimnagar district were marked on the base map on 1:50,000 scale prepared from state revenue maps and digitized using Arc-info GIS. The delineation study clearly indicated that the available N was found to be low in 61.7% of soil samples of Karimnagar district, while phosphorus is in medium status. Nearly 33.8 and 62% of the surface soils were medium and high in available K, respectively. Most of rice growing soil samples were low (39%) in available sulphur in the district. The GIS-aided thematic maps indicated that 49.73, 11.85 and 24.4% of the total geographical area of Karimnagar district was deficient in the N, P and S, respectively.

Keywords

Macronutrients, Rice Growing Soils, GIS-Aided Mapping.

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