Informatics Publishing Limited

M. Hemalatha ¹, Jayashree Kannan ¹, R. Ishwarya ², V. Prithviraj ³

Affiliations
1 SASTRA University, Thanjavur, Tamil Nadu, IN
2 SASTRA University, Thanjavur, IN
3 Pondichery Engineering College, Puducherry, IN

Abstract

This report demonstrates a non coherent spectrum sensing technique in Cognitive Radio. Cognitive radio is the upcoming technologies which possess immense potential that considers the increasing opportunistic use of licensed frequency spectrum in the near future. It promises efficient spectrum resource utilization, achieved by sensing the unused spectrum bands. Cognitive radio finds the licensed users in the network by sensing the spectrum individually. One of the most challenging issues in Cognitive Radio is spectrum sensing. Various spectrum sensing techniques are described below in each section. The presence or absence of signal is detected by Energy Detection method. In this method, the energy of the signal is sensed and it is compared with the threshold value. The sensing is illustrated using Receiver Operating Characteristic curve (ROC curve) which shows the relationship between sensitivity and specificity. The performance of detection for various SNR of signal is summarized with the probabilities: Probability of Detection and Probability of false alarm. An attempt is made and results are verified with the standard ROC curves.

Keywords

Cognitive Radio, Spectrum Sensing, Energy Detection, ROC Curve, Probability of Detection and Probability of False Alarm.

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C. Lakshmi Devasena ¹, R. Radha Krishnan ², M. Hemalatha ³

Affiliations
1 Karpagam University, Coimbatore-21, IN
2 Park School of Aeronautical Sciences, Kaniyur, Coimbatore, IN
3 Department of Software System, Karpagam University, Coimbatore-21, IN

Abstract

Image mining is not mere an extension of data mining to image domain. Image mining is a technique normally used to extract knowledge and recognize objects directly from images. Image segmentation will normally be the first step in image mining. Image segmentation is difficult, but it is important problem in computer vision and machine perception. We can treat image segmentation as graph partitioning problem. The minimum spanning tree algorithm is capable of detecting clusters with irregular boundaries to mine images. This paper proposes the minimum spanning tree based clustering algorithm to detect color images using weighted Euclidean distance for edges, which is key element in building the graph from image. The algorithm produces n clusters with segments. An important characteristic of this method is its capacity to conserve information in low variability image regions while omitting detail in high-variability regions. The proposed algorithm has been employed using MATLAB. The implemented system produces promising results.

Keywords

Clustering, Color Images, Graph Partitioning, Image Mining, Image Segmentation, Weighted Euclidean Minimum Spanning Tree.

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K. S. Kannan ¹, M. Hemalatha

Affiliations
1 Annamalai University, Annamalai Nagar, TN, IN

Abstract

Development of shrewdness Scheme for geo science application is to efficiently store the geo science tracing data and perform management of data provenance. Data provenance provides information about the origin of data. Shrewdness scheme includes both Workflow provenance and Fine grained Data provenance. Workflow provenance provides information about the reproducibility of the data product and Fine grained provenance is for creating the data product from its input value. Data preprocessing is applied to geo science data which includes data cleaning, data integration and transformation and data reduction. To trace the process of output data from geo-data measurements, classification and clustering techniques are applied to produce fine-grained data. Shrewdness scheme results in fine-grained data repertory based on workflow provenance with minimum storage space. The framework that obtained from shrewdness schema is self adaptable to any scientific model. User interaction of the framework is performed by using spatial inverted index list algorithm which acts as a search engine.

Keywords

Shrewdness Schema, Geospatial, Data Provenance, Geographical Information System (GIS).

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S. Gokila ¹, V. Indumathi ¹, P. Premalatha ¹, M. Hemalatha ²

Affiliations
1 Electronics and Communication Engineering, TejaaShakthi Institute of Technology for Women, Coimbatore, IN
2 Computer Science and Engineering, TejaaShakthi Institute of Technology for Women, Coimbatore, IN

Abstract

This paper deals with the latest technology called the sixth sense. It’s a wearable interface that augments the physical world around us with the digital information. It’s just born concept which allows user to connect with the internetseamlessly. Without use of keyboard, mouse we can see videos access, change, move data simply. But this concept bottle neckslead to modification of the same by using commands instead of gestures. Speech IC is used as a database for commands which will be initially trained for storage. It performs the corresponding commands accessing the operation from the mobile device connected to it and action is projected using a projector over any surface. It’s more possibly to be implemented in future because of its cost constraints.

Keywords

Speech IC, Projector, Mobile Device.

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R. Balabhaskar ¹, M. Hemalatha ¹, U. S. Mahadeva Rao ²

Affiliations
1 PG Department of Biochemistry, SRM Arts and Science College, Kattankulathur-603203, IN
2 Universiti Sultan Zainal Abidin, Kampus Kota 20300, Kuala Terengganu, MY

Abstract

Background: Rasayana is a branch of Ayurveda which deals with the ability of the herb to bestow upon the body enhanced capacity of warding off infections and delaying the ageing process. Indigenous natural products have become the alternative way to replace the synthetic medicine.

Aim: This review gives an account of the current knowledge on the Pharmacognosy, phytochemistry and pharmacological aspects of Mengkudu (Morinda citrifolia-Rubiaceae) and Midshipman’s butter (Persea americana- Lauraceae), the ethno medicinal plants.

Nutraceutics: A wide range of phytoconstituents mainly alkaloids, flavonoids, terpenoids, phenolics, vitamins, minerals and many more compounds whose activities have been proved are present in both the fruit extracts.

Pharmacology: The fruits of both plants have been used in traditional medicines to prevent, treat, and cure both communicable and non communicable diseases.

Conclusion: The present review includes detailed epidemiology, phytochemistry, and pharmacological aspects of aqueous extracts of fruits of Mengkudu and Midshipman’s butter in an attempt to provide a direction for further research.

Keywords

Pharmacognosy, Phytochemistry, Pharmacology, Nutraceutics, Epidemiology.

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M. Hemalatha ¹, B. Arirudran ¹, A. Thenmozhi ¹, U. S. Mahadeva Rao ²

Affiliations
1 P.G. Department of Biochemistry, SRM Arts and Science College, Kattankulathur-603203, Kanchipuram District, Tamil Nadu, IN
2 Universiti Sultan Zainal Abidin, Kampus Kota, Jalan Sultan Mahmud, 20400 Kuala Terengganu, Terengganu, MY

Abstract

Objective: The present communication attempts to study the antimicrobial activity of leaf of Calotropis gigantea L. Methods: The leaf is subjected to various extraction using acetone, ethyl acetate, methanol and aqueous solvents against different bacterial and fungal organisms using disc diffusion method. Result: The acetone, ethyl acetate, methanol and aqueous extracts were active against all the samples and showed significant antibacterial properties. The methanol, acetone, ethyl acetate and aqueous extracts exhibited less activity against fungal organisms. Conclusion: Thus it may be suggested that leaf extracts of Calotropis gigantea L. may be used to treat oral bacterial diseases.

Keywords

Calotropis gigantea L, Antimicrobial Activity, Disc Diffusion Method.

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