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

Biosynthesis of nanoparticles using microorganism is widely used in biological applications due to its eco-friendly nature and lower cost. The present study aimed to investigate the yeast, Candida albicans for the synthesis of nano cadmium sulfide is a semiconductor nanoparticle. The yeast synthesized nanoparticles tested for its spectroscopic and microscopic characters. The peak at 420 nm identified by UV-Vis spectrophotometer confirms the Cadmium sulfide (CdS) nanoparticles synthesis preliminarily. Further, the nanoparticles were characterized using X-ray diffraction assay, scanning electron microscope, and elemental dispersive analysis. Finally, the synthesized Cadmium sulfide (CdS) nanoparticles were tested for its antibacterial activity against disease-causing pathogens such as Salmonella typhi and Staphylococcus aureus. The maximum zone of inhibition shows 15mm at the concentration of 100µl of CdS nanoparticle. Thus a promising antibacterial activity of yeast mediated synthesized Cadmium sulfide (CdS) nanoparticles was described.

Department of Biotechnology

School of Bio Sciences and Technology

Vellore Campus

World University root node

Department of Commerce

School of Social Sciences & Languages

International Journal of Research in Pharmaceutical Sciences

Preparation of yeast mediated semiconductor nanoparticles by Candida albicans and its bactericidal potential against Salmonella typhi and Staphylococcus aureus

Reversible Data Hiding is a tactic of conveying secret message by embedding the same in any of the multimedia content and after extracting the hidden information, original cover can be recovered without any deformation to it. In this paper an unique way of embedding the secret data reversibly by applying pairwise prediction error expansion on Integer-Integer Wavelet transformed (I-IWT) image points is proposed for medical images. Considering the statistics of the medical images the neighboring points are considered to be similar and hence the prediction errors are perceived to be close to zero/minimum. The proposed scheme employs I-IWT which is applied to the sub bands of cover image and secret bits are embedded into all sub bands. Experimental analysis is carried out on various test medical images and compared with other recent reversible data hiding schemes. Superior image quality for considerable payload determines the efficiency of the proposed approach. © Springer Nature Singapore Pte Ltd. 2018.

Computer Science

School of Computer Science and Engineering

Chennai Campus

Communications in Computer and Information Science Smart and Innovative Trends in Next Generation Computing Technologies

Improved Reversible Data Embedding in Medical Images Using I-IWT and Pairwise Pixel Difference Expansion

An industry or a business or a firm requires quality personnel for accomplishment of objectives framed by them in order to survive in this competitive era. They all are in the beginning of fourth industrial revolution. To remain competitive in this digital world all search for bright, potential and dynamic employees. Organizations with an effective recruitment strategy will be able to employ suitable individual in order to manage the digital world and developing business environment. So the recruitment strategy is the prime factor for every organization in hiring skilled employees who could be more efficient and effective in accomplishing the job objectives. The recruitment strategy as it is a major function of organization apparently takes help of data analysis for decision making process. The data analysis is known as “Artificial Intelligence” which plays a crucial role in recruitment decision. Artificial intelligence in a most basic terminology and is a human develop intelligent machines. AI will work and react like human and its ultimate goal is to facilitate computers to carry out the work as normally done by people. AI leads with an incredible speed and accuracy. The major objective of this paper is to study how Artificial Intelligence influences the recruitment strategy. The study also throws light on the techniques used by companies in AI while recruiting. This study is entirely done based upon secondary sources of information like conceptual papers, various peer reviewed journal articles, books and websites are used to further explore the concept. © IAEME Publication.

International Journal of Mechanical Engineering and Technology

Recruitment through artificial intelligence: A conceptual study

VIT Unitversity

ACADEMICIA: An International Multidisciplinary Research Journal

Quality of work life: A literature review in the academic sector

In image processing, image interpolation is considered to be a very important branch of study. It is very popularly used in the digital imaging processes. In case of Reversible Data Hiding (RDH) process, the cover image can be scaled up or down according to the requirement without compromising the originality of the input image and the secret data can be hidden into the interpolated image. After extraction of the secret data at the receiver's end, the cover image can be recovered by discarding the interpolated points in the image. In the proposed scheme, more than one bit (maximum of 4 bits) can be embedded in the same pixel, only with maximum of ±1 value change in the pixel value. Even though the additional information involved in restoring the cover image and the payload is more, the distortion (Peak Signal to Noise Ratio-PSNR) in the marked image is kept minimal since the embeddable points change only by ±1. The experimental results show that this scheme is superior to the available imageinterpolation based RDH schemes in terms of payload capacity and perceptual quality of the images. © 2016 IEEE.

2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI)

Multilevel RDH scheme using image interpolation

The Travelling Salesman Problem (TSP) is one of the extensively studied optimization problem. The numerous direct applications of the TSP bring life to the research area and help to direct future work. To solve this problem many techniques have been developed. Genetic algorithm is one among those which solves this problem by using the processes observed in natural evolution to solve various optimizations and search problems. This paper presents a complete survey on genetic algorithm techniques proposed by researchers for solving Travelling Salesman Problem. ©2009 IEEE.