Informatics Publishing Limited

P. L. Kishan Kumar Reddy ¹, T. V. Rao ², A. Ananda Rao ³

Affiliations
1 Dept. of CSE, PCET, Nellore, A.P, IN
2 CSE Dept., PVP Siddhartha Engg. College, Vijayawada, AP, IN
3 Dept. of CSE, JNTUA, Anantapuram, AP, IN

Abstract

This paper presents a hierarchical approach for recognition of urban arial images in federated database systems. The paper focus on the separation of urban and natural images from the arial images based on color localization by segmenting the arial images with its region of boundaries. The regions which are extracted have been classified using co-occurrence features for the recognition of segmented regions. Generally there are nine distinct features to be calculated for the recognition of Arial image. The approach which is developed predominantly uses two local features like pattern and texture of the image. The proposed approach will increase the performance of the system under distributed environment. During evaluation of the system different variant traffic conditions are considered.

Keywords

Distributed Mining, Federated Database, Local Features, Spatial Arial Images.

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T. V. Sai Krishna ¹, A. Yesu Babu ², A. Ananda Rao ³

Affiliations
1 Department of Computer Science and Engineering JNTU, Kakinada, Jawaharlal Nehru Technological University Road, Kakinada - 533003, Andhra Pradesh, IN
2 Department of Computer Science and Engineering, Sir CRR College of Engineering, Valturu Post Peddapadu Mandal, Near Bypass Road, West Godavari District, Eluru - 534007, Andhra Pradesh, IN
3 Director Academic and Planning, JNTUA, Anantapur – 515002, Andhra Pradesh, IN

Abstract

Background: The Fuzzy c-means (FCMCA) cluster algorithm with spatial information is adopted for image segmentation. In the direction of acceptable segmentation concert on noisy images, the anticipated technique exemplifies the foreign spatial evidence derived from the image and also inherits appropriateness which correspondingly reflects on the universal fuzzy fitness and fuzzy isolation among the clusters. Methods: Segmentation combines two regions firstly, the physical dimension of the image and contextual data through energy reduction function. Secondly, since the kernel metric value is merged with fuzziness of the energy level, the dynamic delineation progresses is steadily deprived of the reinitialization progress for the level set process. Afterwards generating the bunch of non-conquered clarifications, the concluding clustering elucidation is preferred through Cluster Validity Index (CVI) by consuming the foreign spatial evidence. Additionally, the total number of clusters incorporates the actual oblique mutable string length scheme to encrypt the cluster groups in terms of grouped chromosomes spontaneously. Findings: This novel fuzzy and nonlinear type of energy functionality brands the modernizing of region group’s added strength against the noise and edge of the image. The projected method is undergone with image polluted through noise and likened with fuzzy c & k means, dual FCM cluster based approaches with predefined spatial data and dynamic string size is inherited by fuzzy clustering procedure. Applications/Improvements: The investigational outcome demonstrates that the anticipated technique performs thriving in developing the sum of clusters and procurement in acceptable performance on noise in image segmentation process.

Keywords

Chan–Vese Model, Cluster Validity Index (CVI), Foreign Spatial Evidence, Fuzzy c & k-means Clustering, Image Segmentation.

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S. Prabhavathi ¹, A. Subramanyam ², A. Ananda Rao ³

Affiliations
1 Dept of CSE, RYMEC, Bellary, IN
2 Dept of CSE, AITS, Rajampet, IN
3 JNTUA, Anantapur, IN

Abstract

The area of Wireless Sensor Network (WSN) is covered with considerable range of problems, where majority of research attempts were carried out to enhance the network lifetime of WSN. But very few of the studies have proved successful. This manuscript discusses about a structure for optimizing routing and load balancing that uses standard radio and energy model to perform energy optimization by introducing a novel routing agent. The routing agent is built within aggregator node and base station to perform self motivated reconfiguration in case of energy depletion. Compared with standard LEACH algorithm, the proposed technique has better energy efficiency within optimal data aggregation duration.

Keywords

Wireless Sensor Network, Energy, Load Balancing, Routing, Agent.

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