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.

&nbsp;

&nbsp;

VIT University

Department of Database Systems

Department of Computer Applications

School of Information Technology and Engineering

Vellore Campus

School of Computer Science and Engineering

Electronic Government, an International Journal

Efficient routing based on core relay intermediate nodes in MANET

Spatial information have wide applications, e.g., location-based administrations, and geometric extend questions (i.e., finding focuses interior geometric zones, e.g., circles or polygons) are one of the crucial search capacities over spatial information. The rising request of outsourcing information is moving large-scale datasets, counting large-scale spatial datasets, to open clouds. In the interim, due to the concern of insider aggressors and programmers on open clouds, the protection of spatial datasets ought to be cautiously protected while questioning them at the server side, particularly for location-based and medical utilization. In this venture, we formalize the concept of Geometrically Searchable Encryption, and propose an productive plot, named FastGeo, to ensure the protection of clients' spatial datasets put away and questioned at a open server. With FastGeo, which is a novel two-level look for scrambled spatial information, an honest-but-curious server can productively perform geometric extend inquiries, and accurately return information focuses that are interior a geometric run to a client without learning delicate information focuses or this private inquiry. FastGeo bolsters self-assertive geometric regions, accomplishes sublinear look time, and empowers energetic overhauls over scrambled spatial datasets. Our conspire is provably secure, and our test comes about on real-world spatial datasets in cloud stage illustrate that FastGeo can boost look time over 100 times. © 2018 IAEME Publication.

Department of Digital Communications

World University root node

Department of Smart Computing

International Journal of Civil Engineering and Technology

Providing privacy and dimensional search on longitudinal data using safe computing: A case study

The main objective of this paper is to build a novel integrated fuzzy approach to find the influential factors as well as ranking of the factors related to the cotton yield with a fuzzy Decision Making Trial And Evaluation Laboratory (DEMATEL). Fuzzy Cognitive Maps (FCM) and its important elements has been used for assessment of cotton yield prediction. This paper proposed the interdependence of every factors on each other and how it directly or indirectly affects the cotton yield using hybrid DEMATAL and FCM. No previous studies have integrated FCM and DEMANTAL for the prediction of cotton yield. Furthermore, evaluation results of this study reveal that the integration of DEMATAL-FCM could be effective and as well accurate compared to existing approaches for evaluating cotton yield prediction. © The Author(s) 2018.

Cognitive Science and Artificial Intelligence SpringerBriefs in Applied Sciences and Technology

An Experimental Evaluation of Integrated Dematal and Fuzzy Cognitive Maps for Cotton Yield Prediction

Since the beginning of Artificial Intelligence, Computer Vision and the trend of automated systems in various industrial departments, there have been drastic improvements and more applications of such systems than one could ever imagine. These applications have in recent ties moved to the more domestic environments too. From automating coffee machines, air conditioners, etc. Home based automation systems have come far. Still a centralized automation system is missing for such environments, where multiple devices are integrated and automated, with dependency on multiple parameters. The suggested system intends to automate all this with a centralized automation system covering multiple domains including security, entertainment, etc. in home environments, all this at cost effective rates and with good robust systems. Automation of home and other domestic systems is a technological requirement of the society now. Cost effectiveness has been a major problem with such systems, which makes it difficult to installing households, etc. Our module consists of a cost effective yet performance efficient domestic automation system which includes modules like smart lock based on facial detection and recognition, gesture automated appliance and software assistance and also automated payment gateway using optical character recognition, thus fulfilling the aim of moving domestic households, etc. to a more digital and technology friendly environment. © 2018 IAEME Publication.

Department of Computational Intelligence

Multi domain automation systems in domestic environments

From decades the issue of energy optimization in Wireless sensor networks (WSNs) has been resolved using various technologies ranging from physical modification to the network nodes or sensors to the software solutions such as changes to routing protocol, dealing with various optimizations on the network parameters and so on. There were many protocols proposed to increase the lifetime of the sensor node and with this Wireless energy transfer (WET) has been considered a favorable technique for extending the lifetime of WSN. However energy conservation on the network is also achievable if we compress the data flow in the network, reduce communication overheads and wireless energy transfer. © 2006-2018 Asian Research Publishing Network (ARPN).

ARPN Journal of Engineering and Applied Sciences

A review on energy optimization techniques used in WSN

Cloud is referred to as a collection of infrastructure services, such as Infrastructure as a service (IaaS) and Platform as a service (PaaS), which are made available to us for utilization by various organizations in which the key factor is virtualization of data as it allow the user to manage, handle and compute a large number of tasks very easily. By referring to Cloud technologies we mean runtime such as Hadoop, Dryad and other Map Reduce frameworks. In this paper we would analyse the above mentioned software's and techniques for the cloud system by comparing them on the basis of its processing speed, its data handling capacity, the nature of user friendliness. We would discuss large scale data analysis using different implementations on the above mentioned tools and after that we would give a performance analysis of these tools on the given implementation like Cap3, HEP, Cloudburst. © 2018 The Authors. Published by Elsevier Ltd.

Department of Software Systems

Department of Information Security

Fulltext

Procedia Computer Science

High Performance Parallel Computing with Cloud Technologies

Data mining is the process of analyzing data from different perspectives and summarizing it into a useful information. In this paper we propose a different classification algorithm to identify the accuracy on diabetic data sets. The diabetic person has risk and leads to other disease such as blood vessel damage, blindness, heart diseases, nerve damage and kidney diseases. Diabetics also classified as two types such as type insulin diabetes and non-insulin dependent, diabetes is a disease in which the blood glucose increases which is due to the defects of secretion of insulin, or its action or both. Diabetes is a prolonged medical disease. In diabetes the cells of person produce insufficient amount of insulin or defective insulin or may insulin or may unable use insulin properly and efficiently that further leads to hyperglycemia and type-2 diabetes. We are proposing an efficient two level for classifying data. During initial phase we use training data for analyzing the optimality of dataset then new dataset is formed as optimal training dataset now we apply our classification mechanism on new diabetic datasets. The data mining methods and techniques will be explored to identify suitable methods and techniques for efficient classification on diabetic data set and in mining it in useful patterns. © RJPT All right reserved.

Research Journal of Pharmacy and Technology

Diabetic medical data classification using machine learning algorithms

This article describes how nowadays, the learner-centered approach is becoming more and more popular by providing liberties to the learner to choose and study courses of interest. The common problem which persists among the researchers is that they do not exactly point out which subject or coursework which would be suitable for them from their research standpoint. This is because it is very important for researcher scholars to acquire knowledge and skills that will help them to do research in an efficient and effective way. Because of the availability of a wide variety of choices among courses, researchers can be in an uncomfortable situation making a decision about which courses would be more appropriate for them. In such kinds of conditions, a recommender system can be helpful in decision making to choose some suitable courses according to interest and requirements. This article proposes a framework which is novel and convenient for any learning system by integrating various techniques together within this framework. Copyright © 2018, IGI Global.

International Journal of Web-Based Learning and Teaching Technologies

A framework for recommender system to support personalization in an E-learning system

In this paper, we showcase demand elevated class applications, storage space of data distantly, the less protection burden of local data storage and shared pool of configurable computing resources are the services provided that can be enjoyed by the users by using cloud storage. Data integrity protection is an imposing task in cloud computing that is done as the outsourced data is no longer physically possessed, especially for users with constrained computing resources. Cloud storage is a model used by the users to store their files and the providers are responsible for keeping the data available and accessible. The mobile cloud environment has security issues as the cloud environment that cannot be applied in mobile devices. Low transmission rates, latency sensitivity, poor connectivity are the challenges required to be undertaken by wireless networks to avoid security issues. Conventional investigate schemes and ranked serial binary investigate (RSBI) algorithm leads to extra traffic costs and a long investigate time for the users. The resourceful investigate an able encryption scheme is proposed to address these issues as a mobile cloud service. The data communication process is optimized for traffic efficiency by reducing the access size by using lightweight access encrypted keyword compression method in this innovative scheme. The user registries in the cloud to upload their files and then the files are encrypted by using the index and compress, key generation and secure flow algorithm (SFA). The encrypted files are stored in the cloud server that can be downloaded by the user by entering the keyword and in the database investigate able encryption is used to investigate the files to speed up the investigate time. Two optimization methods have been proposed in document, investigate called to investigate able encryption and SFA algorithm. The result shows that investigate able encryption scheme which reduces the investigate time as well as network traffic. © 2006-2018 Asian Research Publishing Network (ARPN).

Resourceful investigate encryption method using data hunt in mobile cloud service

Compressed Natural Gas (CNG) and Liquified Petroleum Gas (LPG) are in the high demand today as it is being used for transportation and cooking purposes everywhere respectively. Therefore, there is high need to define some mechanism that can help in satisfying the needs of the consumers efficiently. This means that whenever the filling container is getting empty, there should be some mechanism that can suggest the user to arrange for the replacement of the current container with the another filled one or else the filling process may get stopped due to unavailability of the gas. Thus, this paper proposes a microcontroller-based gas level sensing system that can help in providing the status of the gas level in the container. The same after discussion, showed that the model is suitable for detection of the gas level in the container at the gas station. Copyright © 2018 American Scientific Publishers.