Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

Heart Sound Signal (HSS) is considered as one of the important bio-signals. It carries vital information about the heart functions. For bio-acoustic observations, the HSS is diagnosed and recorded with auscultatory procedures. During auscultation, the noisy components gets added along with the reading. The physicianâs individual diagnostic experience, ecological noise and the intersection of heart and lung sound signal (LSS) are considered as the major noisy components in HSS diagnosis. Suppression of LSS from the HSS is a challenging task. Due to its quasi stationary nature, adaptive filtering techniques are used for the noise removal. In this paper, Recursive Least Square (RLS) adaptive algorithm is proposed to obtain the HSS from the noisy mixture. Faster convergence is a benefit in selecting RLS algorithm over other adaptive algorithms. The forgetting factor is one of the important parameters of RLS which defines the convergence. The RLS performance is improved by choosing an optimal forgetting factor. A Particle Swarm Optimization (PSO) based search algorithms are deployed for optimization. To enhance the implementation time, a Dynamic Neighbourhood Learning Particle Swarm Optimizer (DNL-PSO) is analysed. In DNL-PSO, each particle studies from its knowledge in dynamically varying neighbourhood that prevents early convergence. The normal HSS with different LSS interference is taken to assess the RLS filter performance. In this paper, the RLS algorithm performance is compared with Least Mean Square (LMS) adaptive algorithms. Various metrics are used to compare the performance of both RLS and optimization algorithms. Â© 2019, Gazi University Eti Mahallesi. All rights reserved.

Department of Information Technology

School of Information Technology and Engineering

Vellore Campus

Department of Information Security

School of Computer Science and Engineering

GAZI UNIVERSITY JOURNAL OF SCIENCE

Particle Swarm Intelligence Based Univariate Parameter Tuning of Recursive Least Square Algorithm for Optimal Heart Sound Signal Filtering

The emergence of computer and computer networks made the people life very simple on one touch. But, is the network really secured? Do our transactions are done in a trusted manner? These thoughts lead us to network security. For the past few decade, network security places vital role in ensuring safe and secured communication over the Internet. In our day to day life, most of the communication are carried out to ensure safe account transactions. Thus security in banking domain should be highly secured and user-friendly to have the smooth communication. An effort has been taken in this paper to provide a better security model by adapting ABE and AES than existing security systems. Every user registers and gets a username and password for authentication. We deploy four admin for the overall control of data access. The proposed model provides great security to various access policies based on different scenarios. Every admin is provided with user-id, password, challenge-key and its corresponding challenge response key, ABE key and MAC and IP Address captured in Cloud. Every admin is assigned with certain access privilege &amp; ABE key is assigned. Servers generate a new key and divided with the available numbers of administrators. This key is sent as Email alert to every administrator. If any query requested by the user beyond the permitted privilege of the corresponding administrator then that admin will the permission from rest of the administrators by getting everyone's Joint Threshold key and finally concatenated and verified by the server then access permission is provided. © IAEME Publication.

Department of Software and Systems Engineering

World University root node

International Journal of Civil Engineering and Technology

Secured cloud banking transactions using two-way verification process

VIT Unitversity

Fulltext

Indian Journal of Science and Technology

Particle Swarm Optimization based Edge Detection Algorithms for Computer Tomography Images

In wireless networks, to provide the privacy protection is a hard one than wired networks. Many protocols in the network use the encryption and decryption technique to transfer the data in a secure way. In wired network, it doesn't need to consider the mobility of the node. But in wireless network it needs to keep the mobility information in the protected way. To give a privacy protection in the network, ISRR protocol tells about the unobservable data transmission. This protocol supports three features: Anonymity, Unlinkability, Unobservability. This paper proposes ISRR protocol, which uses the effective key establishment with neighbor node and also achieves stronger privacy safety over network interactions. This paper focuses on avoiding the type of denial of service attack during packet routing in simulation.

International Journal of Engineering and Technology

Effective anonymous imperceptible secure re-active routing (ISRR) protocol for manet

This paper discusses a method for estimating sleep quality. It expresses the sleep quality as percentage. It is based on National Instruments LabVIEW. Two approaches are used to arrive at the sleep quality. Approach one involves quantifying the stress level that the subject is under. It is done by measuring the change in skin resistance which changes with stress. Stress levels have shown to have significant impact on sleep quality. Approach two involves design of an electrooculograph system. The EOG helps in detection of eyeball movement, hence helps in detection of Rapid Eye Movement (REM sleep) during sleep. REM sleep is generally associated with quality of sleep. Hence, the frequency of eyeball movements during sleep and the cycles in which they occur are used as an indication of sleep quality. The results from above mentioned approaches are integrated in program in LabVIEW using a suitable algorithm to give an indication of sleep quality. This project can be used for early detection and treatment of sleep disorders. © 2005 - 2013 JATIT &amp; LLS. All rights reserved.

Department of Control and Automation

School of Electrical Engineering

Journal of Theoretical and Applied Information Technology

Sleep quality monitor using stress analysis and REM sleep detection