In mobile ad hoc networks, the isolation of critical routing nodes may affect the routes and re-routing that result in significant routing disruption. This in turn degrades the network performance considerably. The existing anomaly-based detection and prevention technique does not involve any standard training technique like neural networks, support vector machines (SVMs) and so on. In order to overcome these issues, in this paper, it is proposed to design a SVM and fuzzy-based intrusion detection and prevention for MANET attacks. Initially, the nodes with the maximum stability index are chosen as cluster heads (CH) and the other nodes become cluster members (CM). The secure communication is established between CH and CMs. Then a support vector machine is utilised to distinguish misbehaving nodes from well-behaved nodes. Then fuzzy rules are used to isolation of misbehaving nodes to prevent intrusion. By simulation result, it is shown that the proposed technique enhances the network performance. 'Implementation of ADALINE on DSP and FPGA for measurement of harmonics'. He has completed more than 30 industrial consultancy projects in embedded systems, power quality studies and energy conservation. His areas of interest are embedded systems, neuro-fuzzy systems, power quality improvement and energy conservation.

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BACKGROUND Infection that occurs in the wound created by a surgical procedure is generally called as surgical site infection. (1) Surgical site infection is a frequent complication of surgery and its incidence varies from 0.5 to 15% depending upon the type of surgery and status of the patient. MATERIAL AND METHODS This study was conducted over a period of 16 months and sample was collected from various surgical departments of Konaseema Institute of Medical Science, Amalapuram. Standard operating procedures for sample collection, transport, culture and susceptibility testing for isolated organisms were followed to ensure procedural quality. Swab samples were plated on nutrient agar, blood agar, and MacConkey agar medium. RESULT Staphylococcus was the most common organism isolated. But Gram-negative organism was more common organism resistant to commonly used antibiotic. CONCLUSION Idea about the antimicrobial sensitivity pattern is essential for selection of drugs. Every institution should have an antimicrobial use policy as per the resistance pattern of organism. So a longterm and large scale study is required to have the idea and detail of resistance pattern.

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