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

Retrieving information from a source is one of the hassle works to do in this world. Right from the manual intervention to computer world, information retrieval is known for its trouble factors. Conveying rightful information to the rightful person may be a guideline to face consequences. Though the information retrieval was changed digitally, it also requires a manual intervention to take look at that information. Our idea was to retrieve information of students through virtual voice assistant where it requires zero manual intervention except for asking a query. There are various virtual voice assistants in the market like Google Assistant, Cortana, Alexa, and Siri. In this, the Alexa can be chosen for a specific reason as it works with voice processing cloud, and it has scalable database. Amazon Developer helps the developers to customize the Alexa device by creating a new skill sets according to the need. Alexa works with three different devices, and they are Amazon’s Echo Dot, Echo, and Echo Plus. The skill set that is developed is compatible in all three devices, and Echo Dot is compact and portable for testing. Therefore, users can ask Alexa for specific information, and Alexa would reply them at ease. The following paper consists of development of skill set for the Alexa device that would retrieve information about the students if it is properly fed in its database. © 2020, Springer Nature Singapore Pte Ltd.

World University root node

School of Computer Science and Engineering

Chennai Campus

Lecture Notes in Electrical Engineering

Implementation of Alexa-Based Intelligent Voice Response System for Smart Campus

The web service is proved to be one of significant milestone in the evolution of distributed computing. Applications interoperate with programs providing simple services to deliver sophisticated value-added services. Web service proves to be a loosely coupled way of achieving complex operations with less ownership of the resources in a standard way. Variety of platforms and frameworks communicate with the aim of transferring the business intelligence, domain specific functionalities and so on. The communication between the server providing the service and the client revolves around two main web technologies such as World Wide Web, and Hyper Text Transfer Protocol. As specified earlier web service invocation is achieved due to collaboration of multiple entities on the web. The quality of service factors such as performance, reliability, security, response time, availability etc., are very important to enable this web service invocation. Among which security proves to be a challenging factor due to vulnerabilities in the web that is imposed on the usage of numerous methods, tools and technologies. In the same pace, numerous standards and mechanisms has been introduced to handle the security threats. It is found to be difficult to arrive at a complete solution or standard to address the security issues of web services. As an initiative to provide a broader perspective on security of web services the review presented could provide glimpses of security vulnerabilities and solutions available. © 2019, Springer-Verlag GmbH Germany, part of Springer Nature.

Information Systems and e-Business Management

Technical analysis on security realization in web services for e-business management

In cloud computing, resources are provisioned and admitted on demand. During the runtime, workload can be calculated by using the workload analyzer and the resources are allocated. Deciding the resources needed is a difficult task in cloud computing. Autonomic provisioning of resources is needed to satisfy the future demands. In this paper, we present a Hybrid Admission Control and Resource Provisioning (HACRP) framework based on autonomic computing and Q-learning. We evaluate the performance of the framework using the Mediawiki traces. The proposed framework calculates the resources needed and allocates resources based on the demands. © 2019 NSP Natural Sciences Publishing Cor.

Applied Mathematics and Information Sciences

HACRP: A resource monitoring and provisioning framework for cloud applications

As the days passing the world keeps moving forward with various technologies which improve the standard of the people. In this modern era, the people have different life style and way of approach to their life. These modern approaches lead them to face various problems in their work place and society. As a result they get stress, tension or frustration which put their day off. So they search a way to get out from their problem. In this paper shows the implementation of counselling chatbot which is built based on Artificial intelligence. It provides counselling to the users to get out of the problems faced by them. The chatbot provide counselling to the user based on their mood. To establish a near - natural conversation with people, chatbots should analyze the input entered by the user and find out their mood and answer for their query. © 2018 IEEE.

ICSNS 2018 - Proceedings of IEEE International Conference on Soft-Computing and Network Security

Intelligent Counselling Bot Using Ranking Algorithm in AI

In this paper, we make a outline of monitoring tools for big data frameworks. A hot topic for research in recent years is manipulation of big data and their management. The focus on these topics is due to the problems that are posed by the manipulation of big data as well as the potential that they expose for obtaining better results. However, in order to effectively make, assess and setup new procedures or functions needs appropriate monitoring tools. In this paper we intend to crate a outline of monitoring tools existing on the market. © 2018 IEEE.

A Survey on Watchdog Tools for Cloud and Big Data

Digital image forensics is a term with different contexts and meaning. The term image forensics is used to designate the survey of the originality of the image file, asses the presence of forgeries and to identify the device in which the picture was occurred. Digital image forensic method is used to maintain image authentication. Image authentication is an accurate representation of the original image. Verification could be fined to ensure digital contents usually pictures and forgeries can be eliminated by using image classification. DCT is used to detect the source of the images from different social networks. For this purpose, an asset of image characterization is defined to determine the origination of digital camera. Interpolation or filtering technologies can be used to eliminate the noise. There by grouping of images enables finding forgeries in the social network. The proposed technique is used to find out traces of the image from the corresponding social networks and such traces can be discovered to identify the platform of the image. Using existing method, it is possible to determine the origin in the social network. Whereas, the further process can be used to find the original JPEG image and it can be converted to give the same quality when it is uploaded on the social network. © 2018 IEEE.