Informatics Publishing Limited

D. Rajya Lakshmi ¹, A. Damodaram ², M. Sreenivasa Rao ³, J. A. Chandu Lal ⁴

Affiliations
1 GITAM Engg. College, Visakhapatnam, IN
2 JNTU college of Engg, Hyderabad, IN
3 JNT University, Hyderabad, IN
4 GITAM University, Visakhapatnam, IN

Abstract

Two of the main components of the visual information are texture and color. In this paper, a content-based image retrieval system (CBIR), which computes texture and color similarity among images, is presented. CBIR is a set of techniques for retrieving semantically-relevant images from an image database based on automatically-derived image features. One of the main tasks for CBIR systems is similarity comparison, extracting feature signatures of every image based on its pixel values and defining rules for comparing images. These features become the image representation for measuring similarity with other images in the database. Images are compared by calculating the difference of its feature components to other image descriptors. Previously CBIR methods used global feature extraction to obtain the image descriptors. For example, several features like color, texture and shape extracted from each image. These descriptors are obtained globally by extracting information on the means of color histograms for color features; global texture information on coarseness, contrast, and direction; and shape features about the curvature, moments invariants, circularity, and eccentricity. These global approaches are not adequate to support queries looking for images where specific objects in an image having particular colors and/or texture are present, and shift/scale invariant queries, where the position and/or the dimension of the query objects may not relevant. For example, suppose in one image there are two flowers with different colors: red and yellow, the global features describe the image as the average of the global average color which is orange. This description is certainly not the representation of the semantic meaning of the image. Therefore, the weakness of global features is observable. Region-based retrieval systems attempt to overcome previous method limitations of global based retrieval systems by representing images as collections of regions that may correspond to objects such as flowers, trees, skies, and mountains.

Keywords

Content Based, Image Retrieval, Binary Signature, Region-based, Debouche Compression,Segmentation

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M. Sreenivasa Rao ¹, N. Ramasubba Reddy ², K. V. Subbarao ¹, C. V. R. K. Prasad ², C. Radhakrishnamurty ³

Affiliations
1 Department of Earth Sciences, Indian Institute of Technology, Bombay 400076, IN
2 Department of Geology, Sri Venkateswara University, Tirupati 517502, IN
3 Tata Institute of Fundamental Research, Bombay 400005, IN

Abstract

Field investigations of a 666 m thick Deccan volcanic sequence north of the River Narmada (Khalghat-Mhow traverse; 60 km) showed the presence of 21 flows, while a 549 m thick southern section comprises of 28 flows (Mandaleswar-Pipaljopa traverse: 110 km). The lava sequences essentially consist of PI and/or Pyx phyric to aphyric basalts with glassy vesicular - amygdular tops/flow breccia.

On the basis of selected major and trace elements (Si, K, Ti, P, Ba, Sr, Zr), the Khalghat section is divided into three formations. The lowermost Narmada Formation is characterized by lower K, Ba, Sr, Ba/Ti, Ba/Sr and Ba/Zr than the succeeding Manpur Formation. The uppermost Mhow Formation is highly depleted in K, Ba, Sr compared to the two lower formations. Chemically, a four-unit informal stratigraphy has been adopted for the Mandaleswar section. The lower three may be correlated with the Narmada, Manpur and Mhow Fms of the Khalghat section and the upper one is labelled the Satpura Formation. Each formation is defined as a set of flows characterized by one or more chemical types such as 'primitive' and' evolved' ones.

The palaeomagnetic results of the Khalghat section demonstrate that the lower 254m pile of flows belongs to normal polarity (N) ('Narmada Normal Epoch') overlain by 412 m thick flows with reversed polarity (R) ('Malwa Reversed Epoch'). Interestingly, on the southern side of the river, about 21 m thick N flows are overlain by 476 m R flows, which in turn are capped by 52m thick N flows ('Satpura Normal Epoch') resulting in an unambiguous NRN sequence in the Deccan basalt province. It appears that the northern side of the Narmada River has been thrown up relative to the southern side. Based on the correlation of the magnetic reversals in the Deccan as well as marine magnetic anomalies, it seems likely that the normally magnetized older Rajmahal traps (about 100 MA) of eastern India form the base of the Deccan basalts.

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M. SharadaVaralakshmi ¹, P. Suresh Verma ², M. Sreenivasa Rao ³

Affiliations
1 St. Peter’s Engineering College, Hyderabad - 500043, Telangana, IN
2 Nannayya Engineering College, Nannayya University, Rajahmundry – 533103, Andhra Pradesh, IN
3 Academic Audit Cell, JNTU-H, Hyderabad - 500085, Telangana, IN

Abstract

Objectives: The Cyber-Physical System (CPS) is an integral part of modern society as most smart infrastructures are controlled by these systems. Two critically important aspects of these systems are safety and security. Confidentiality and privacy of the stored data in CPS have become a major challenge in these systems. In this paper we introduce an innovative cryptographic algorithm- FlipCryp which overcomes these challenges. Methods/Statistical Analysis: The existing encryption algorithms are well suited for text data. Since CPS contain the high volume of real-time data, classical encryption techniques are not appropriate, because most of real time data are served via the network, the encryption and decryption techniques have to take minimal time to achieve acceptable end-to-end delay. Findings: FlipCryp is an innovative idea of encryption and decryption which uses two keys for the process- the Flip key and the Cryp Key. Applications/ Improvement: The CPS systems have a human in loop, so privacy is a major concern. The proposed FlipCryp algorithm is well suited for real-time data of critical and smart infrastructures which provide high confidentiality and privacy.

Keywords

Cryp Key, Cyber Physical System (CPS), FlipCryp, Flip Key.

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K. Kishore Kumar ¹, R. S. K. Sharma ¹, P. Chanti Babu ¹, M. Sreenivasa Rao ¹, K. Durga Prasadu ¹, D. Ravi Kumar ¹

Affiliations
1 Department of Chemistry, CMJ University, Shillong-793101, IN

Abstract

Natural products possessing a spiro carbon in their molecules have proven their biological activity in agriculture and medicine. The present paper describes the synthesis, characterization of five newly synthesized Spiro-compounds characterized by means of chromatography, IR, ¹H-NMR and Mass spectral analysis. The author carried in vitro anti diabetic methods like alpha amylase and alpha glucosidase methods for anti diabetic activity of tilted compounds. The investigation of anti diabetic activity revealed that the test compounds of Spiro compounds showed favorable anti diabetic activity. Among the titled compounds some were having potent antidiabetic activity.

Keywords

Spiro Heterocyclic Compounds, Spectral Analysis, In Vitro Antidiabetic Activity, Alpha Amylase Enzyme Method and Alpha-Glucosidase Enzyme Method.

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