A Decision Support System for Tuberculosis Diagnosability

Navneet Walia1, Harsukpreet Singh2, Sharad Kumar Tiwari3 and Anurag Sharma4

1, 2, 4 Department of Electronics and Communication Engineering, CT Institute of Technology and Research (PTU), Jalandhar

3Department of Electrical and Instrumentation, Thapar University, Patiala

ABSTRACT

In order to cope with real-world problems more effectively, we tend to design a decision support system for tuberculosis bacterium class identification. In this paper, we are concerned to propose a fuzzy diagnosability approach, which takes value between {0, 1} and based on observability of events, we formalized the construction of diagnoses that are used to perform diagnosis. In particular, we present a framework of the fuzzy expert system; discuss the suitability of artificial intelligence as a novel soft paradigm and reviews work from the literature for the development of a medical diagnostic system. The newly proposed approach allows us to deal with problems of diagnosability for both crisp and fuzzy value of input data. Accuracy analysis of designed decision support system based on demographic data was done by comparing expert knowledge and system generated response. This basic emblematic approach using fuzzy inference system is presented that describes a technique to forecast the existence of bacterium and provides support platform to pulmonary researchers in identifying the ailment effectively.

KEYWORDS

Expert system, fuzzy diagnosability, rulebased method, MATLAB, Tuberculosis (TB).

Original Source URL: https://airccse.org/journal/ijsc/papers/6315ijsc01.pdf

https://airccse.org/journal/ijsc/current2015.html

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Privacy Enhancement of Node in Opportunistic Network by Using Virtual-Id

Sandeepak Bhandari and Satish Arora

Department of Computer Science & Engineering, PTU University, Punjab, India

ABSTRACT

An entrepreneurial system is one of the sort of remote system. Delay resistance system is correspondence organizing proposition which empowers the correspondence in such a situation where end to end way might never be exist. Message is forward on the premise of chance. Time interim to convey a message is long we can't evaluate or anticipate the time until we get the message. There is a security issue in these sorts of system. In this paper we will proposed another procedure which will expand the protection of the system and build execution of the system.

KEYWORDS

Opportunistic Network, Architecture and Working of Opportunistic Network, Selective packet drop attack, Proposed Methodology, Simulation Results

Original Source URL: https://aircconline.com/ijsc/V6N4/6415ijsc03.pdf

https://airccse.org/journal/ijsc/current2015.html