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

In this doing of chronic kidney disease diagnosis, we have diagnosed kidney-related diseases using various data mining techniques, and in that, our overall objective is not to find the ideal solution but to indulge the solid diagnosis. In this proposal, we have used two data mining algorithms named Random Forest algorithm and Back Propagation Neural Network to diagnose the chronic kidney diseases and analyze it to lend the best algorithm for anticipating the chronic kidney diseases. © 2020 IEEE.

World University root node

Department of Smart Computing

School of Information Technology and Engineering

Vellore Campus

Department of Digital Communications

International Conference on Emerging Trends in Information Technology and Engineering, ic-ETITE 2020

Chronic Kidney Disease Prediction Using Data Mining

Digital innovations, storage and retrieval of data have revolutionized the way in which information is used. With this, the maintenance of digital media has become a challenging task. On the off chance that some individual from the future– two decades or two centuries from now– made an excursion back in order to today, they would probably chuckle at our usage of hard drives and USB sticks, in the same way now contemplate floppy plates and Zip drives.[1] Digital innovation is assuming control over the world, and researchers are working diligently to investigate better ways to deal with store information – loads and heaps of it, and for drawn out extends of time. ©IAEME Publication.

International Journal of Civil Engineering and Technology

Future of storage technologies

Since the recent decades, optical information has been the most essential methods for computerized distribution. There has been a capacity limit of such gadgets. In any case, constraints in the optics have obstructed the development of these gadgets. Now-a-days there is more interest for greater and quicker advances-hard circle drives and optical plates. There has been use of pendrives, CD’s and DVD’s and hard disk etc now a days which holds large amount of data. This paper basically focuses on how 3-D optical storage works and which different methods have been used for the retrieval of data and how long does it takes to retrieve the large amount of data and how the data has been stored. 3-D optical data storage is the method that allows more than 100 layers as compared to other optical data storage. It's an approach to give petabyte-level mass stockpiling on DVD-sized discs. © IAEME Publication.

The significance of holographic data storage in cost effective and faster data transfer rates

The limit of existing storage media is diminishing. Interest for information stockpiling is developing exponentially. Ordinary part of information is delivered and this requires high thickness stockpiling gadgets which can hold esteems for quite a while. DNA to chronicle information is an appealing plausibility since it is to a great degree thick. Yet, with regards to taking care of huge information, the information of an organization or of the world in general, the present information stockpiling innovation comes no place close to have the capacity to oversee it proficiently. DNA has been recognized as a potential medium for mystery composing, which accomplishes the route towards DNA cryptography and stenography. DNA used as a natural memory gadget alongside huge information stockpiling and investigation in DNA has prepared towards DNA registering for taking care of computational issues. In this paper, we analyse the different encoding techniques of DNA and also the advantages and disadvantages of the DNA archival system. © IAEME Publication

A review on various encoding schemes used in digital DNA data storage

K-means algorithm is one of the important algorithms when it comes to clustering. Clustering is a term where all similar kind of data is clubbed together in a cluster. In this paper we have tried to modify the algorithm for its scalability. As this algorithm is mainly used for analyzing big data, when the data is too big it takes hours to run the program and sometimes system can hang. So we will try to reduce its execution time. It will help to get output faster when the data set is large. © IAEME Publication.

K-means modification for scalability

In the current era, all of our data are secured by some security mechanisms because of some intruders, violators or trespassers as they pilfer the data and gain access to it which may lead to a huge issue for the users. These data are looted by creating a security breach in the system or tracing the data during transactions or by decrypting the data with some decryption algorithms, etc. Authentication plays an important role in security. To create an effective security and save the data from getting looted, different authentication techniques are used. These authentication techniques should withstand all the security breach, should not allow the violators to find the decrypt key. In this paper, we will discuss different types of authentication techniques to make the security more robust. © IAEME Publication.

Department of Multimedia

School of Design

A study on different types of authentication techniques in data security

The paper aims to optimize the best path or route with two primary parameters: Cost and Distance in order to solve the Travelling Salesman Problem (TSP) using Ant Colony Optimization algorithm (ACO). The Ant Colony Optimization Algorithm is widely used in artificial intelligence, where in they are used to find the best optimized path to travel. The algorithm can be applied in many fields such as networking and cloud based techniques. To add more effectiveness to this algorithm, the time schedule was initialled. Analysing the current state in computing fields, the users hold minimum time to traverse a packet from one node to another or assign job to the block which has the fast executing time or search and retrieve information from various sources. While the above examples integrate with one common factor, ie: - the best or shortest path, the ACO algorithm which is more reliable in solving the entire problem on the flow.However the resultant path may vary according to numerous numbers of problems. The problem is solved using a two-fold measure involving cost and distance. Hence the improvements are made in the algorithm by increasing the simulation speed through the number of ants involved.

Research Journal of Pharmaceutical, Biological and Chemical Sciences

Prevailing parameters by lease using ant colony optimization

The investigation of metrics in multiple perspectives is dealt in this paper for a bi-criteria travelling salesman problem (BTSP). By representing the problem in a graphical view, its corresponding metrics in terms of graph theory is estimated. With the programming viewpoint a program using Java programming language is implemented to solve a BTSP. The development of efficient software requires metrics, which is measured to highlight the performance of the software. The application can also be viewed in management perspective through which the solutions in reality are discussed. These approaches can be served as an essential device for the decision makers when they are dealing different varieties of logistics problems comprising two criterions.