Informatics Publishing Limited

P. Selvarani ¹, N. Malarvizhi ¹

Affiliations
1 Department of CSE, Vel Tech University, Avadi, Chennai – 600062, Tamil Nadu, IN

Abstract

Objectives: Higher data security can be achieved by using Multimodal bio cryptographic technique for data encryption and decryption to avoid the intruders to access the data. Methods: Iris and fingerprint are used as a key for both data encryption and decryption in Multimodal biometric based blowfish algorithm. The data stored in cloud environment after encryption. Findings: The problem with storing the data in cloud environment using password system is, it is not secured, forgotten and easily stolen. Hackers can able to trace the password through keystroke loggers and spyware. In multimodel biometric system it is not possible to hack the data by the intruders. For both data decryption and encryption blowfish algorithm is used. Combined biometric of both fingerprint and iris uses as a secret key for a blowfish algorithm. Applications: To run the middleware for connecting the cloud system no need of advanced hardware system. High data security is enough.

Keywords

Cloud Data Security, Data Decryption, Data Encryption, Fingerprint Recognition, Iris Recognition, Multimodal Biometrics.

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J. S. Senthilkumaar ¹, P. Selvarani ², I. Arun ¹, S. Thamizhmanii ¹

Affiliations
1 Department of Mechanical Engineering, Madanapalle Institute of Technology & Science, Madanapalle, IN
2 Department of Mechanical Engineering, Government Polytechnic College, Dharmapuri, IN

Abstract

The machinability assessment is the critical and challenging task for machining of heat resistant super alloy material like Inconel 718. In finish turning operations are very important in order assemble the component made of such difficult to machining materials. The high speed finish turning process has been carried out with uncoated carbide inserts are used with cold coolant machining conditions. This paper describes an intelligent interactive model development using the machining responses like tool life, surface roughness, and cutting force for high speed finish turning Inconel 718 by using response surface methodology. Based on the design of experiments finish turning trials are conducted at three levels of cutting parameters cutting speed, feed and depth of cut in low, medium and high. Tool life and surface roughness, and cutting force, which are the major aspects of machinability, have been discussed in this investigation. The interactive response optimizer has been developed for intelligent decision making also demonstrated the selection of process parameters against the multi response requirements.

Keywords

Response Optimizer. Inconel 718, Finish Turning, High Speed Machining, Surface Roughness, Cutting Force, Tool Wear.

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