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

The digital era has witnessed giant strides in the utilization of security systems, which perform certain pre-programmed tasks when a secured zone is breached. The prevailing traditional security systems have evolved embracing the cutting-edge technologies from time to time. The avalanche-like explosion of things and their connectivity through Internet have opened several new boulevards of exploration. The unification of security system based on the IoT platform has the potential of interrelating real time with the devices and makes them smart, with issues like privacy. To keep the issues in the bay, a new intrusion detection system is the need of the hour. Hence, a wireless intrusion detection smart security system is designed and developed to overcome the research gaps in the existing systems. The smart security system is built on the Internet of things. The system is a lightweight, low cost, extensible, flexible wireless IoT-based-smart security system which will permit the mobile devices and computers to remotely trail the happenings at the location, record the activities and save them in the prefixed cloud storage account. The system uses the hardware (things) to sense and fetch the data which is processed by the embedded software. On the occurrence of an abnormal activity (like breaching by an intruder), a valid signal is detected, and it sends signal to the board directing it to run the alert module. The alert module activates the GSM API to immediately alert the end-user by mobile. This system thus provides a wireless, incessant service to all the stakeholders by phone regarding the breaches occurring in the environment. This implemented smart security system using IoT with mobile assistance also integrates the various alarms, sends alert as pre-programmed, tracks the movements automatically, uses the state-of-the-art appropriate latest technologies to alert the concerned stakeholders and waits for actions to be taken. © Springer Nature Singapore Pte Ltd 2020.

World University root node

Department of Digital Communications

School of Information Technology and Engineering

Vellore Campus

Department of Information Technology

Emerging Research in Data Engineering Systems and Computer Communications Advances in Intelligent Systems and Computing

Smart Security System Using IoT and Mobile Assistance

Testing is a Process, Not just a Phase. Software testing is the most challenging part of Software Development. Setting up the test environment is an important part of STLC. In the evolutionary environment the test suite size grows constantly as the new updated version of software evolves. Test suite reduction techniques plays intelligent role in deriving the subset of the original test suite that covers the user requirements without affecting the accuracy of the test result. Owing to time and test resource constraints a candidate set can be formed from the original test suite in order to reduce the data processed by the ACO. In this paper, we attempt to introduce a novel approach an Adaptive Elitism Based Intellect approach (AEBI) using clustering technique to reduce the test suite size. This AEBI approach concentrates on single/multiple test objective. The experimental results are presented by applying the AEBI approach on real time application system. We found that the AEBI approach supports effective usage of test resource and performs much better in close proximity with optimal solutions. © BEIESP.

International Journal of Innovative Technology and Exploring Engineering

Test suite reduction based on knowledge reuse: An adaptive elitism based intellect approach (AEBI) using clustering technique

The cost and test resources needed for testing increases along with the test suite magnitude. To abode this magnitude snag an efficient systematic plan is proposed to derive a well-known nominal subgroup which will plentifully ceil the investigator’s objectives. In the motive of corroborating the augmented version of software, it is fruitless of re-executing the entire fault-finding scenarios. An ingenious Knowledge-Based Collaborative (KBC) approach is formulated to face the test suite size problem, the minimal subset of test case is derived heuristically based on expertise testers’ knowledge and the crucial fault-finding cases are ordered heuristically, so the most beneficial are executed first to enhance the test case execution. The lion’s share of the fault checker is assessing the faults to heighten the system’s working performance. The experimental study is made and the result is presented to illustrate the efficacy by incorporating the fault discovering cadent. Betterment credit achieved in ordering the fault-finding cases is shown by visualizing the comparative result of test case execution with ordered and disordered set of test cases based on fault espial. © BEIESP.

International Journal of Engineering and Advanced Technology

An ingenious KBC approach for test suite reduction to enhance test case execution

In Information harmonizing in a finest way is dropping matching data of information. In the present method seriously used in the cloud, it outcome by declining space as well as group bandwidth used for upload, It is enough that simply single data of documentation are stored in the cloud still if many owners of a record. As an outcome, harmonizing structure improves storage, use even as dropping dependability. Furthermore, the disputes about privacy for responsive information as well arise when it is outsourced by user to the cloud. In a recent distributed Harmonizing system with higher consistency is applied here, in which the huge information storage is disseminated transversely numerous cloud servers and the information is stored only once in the server to avoid density. If the Client system wants to store the similar document the Information harmonizing method is worn to reduce the storage room. The Safety necessities of information time alone and tag dependability are as well achieved by introducing a deterministic underground distributing method within disseminated by keeping the systems. As an outcome, we execute new methods and exhibit to the attained overhead is restricted in realistic environments. © BEIESP.

International Journal of Recent Technology and Engineering

Data harmonizing in cloud with enhanced reliability in distributed computing

Here has been rising enthusiasm for secure structure that must be attempted and genuine and smart respond for the organizations and companions. RFID (Radio Frequency Identification) is one of the consistent and speedy techniques for perceive the material dissent. In the long-back the institutionalized distinguishing pieces of proof are more perfect when stood out from RFID because of their cost yet now day by day's RFID are viably open and are more beneficial to use. Research has revealed some exceptional enhancements which make its programming significantly shorter and less requesting is an immediate consequence of supplanting microcontroller with Arduino. Arduino makes the circuit and programming a significant measure easier to get it. Paper relies upon security access and control system using RFID and Arduino with GSM module. A segment of the sensors are used like PIR, LPG for spillage area. Security get to system is astoundingly beneficial to use at home, office and business structures. © 2006-2018 Asian Research Publishing Network (ARPN).

ARPN Journal of Engineering and Applied Sciences

Rfid based automated gate security system

Agile approaches in DevOps context evolved SDLC to focus much on iteratively, communication and interactivity between different project roles. In this service-oriented world, much attention has to be given to customer specifications by providing continuous applications delivery with reduced time-to-market. Testing and the Quality Assurance (QA) activities take a central role in ensuring the accomplishment of users’ acceptance criteria and the quality of the delivered software. Instead of contractual approach the agile approach is used to emphasis on taming the Requirements Engineering, Testing and Quality Assurance activities. This increased importance of testing methodology manifests the software developing companies to advance further on testing approaches, preventing defects during the development process. This paper presents a testing methodology to apply Acceptance Test Driven Development (ATDD) techniques while developing DEVOps projects, termed Acceptance Test Simple Testing (ACT-ST) methodology. ACT-ST approach is very evident, supported by the open source framework that generates test cases using the syntactic structure of Gherkin language from ATDD scenario specifications extracted from the user stories quoted with acceptance criteria. ACT-ST approach promotes continuous Metric-based Quality Check, structured User Stories with acceptance criteria for test case generation, agile test reporting, Knowledge Repository and Functional Knowledge Documentation for governance of Quality Management System (QMS). © BEIESP.

Knowledge-based acceptance test driven agile approach for quality software development

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).

Department of Database Systems

School of Computer Science and Engineering

Resourceful investigate encryption method using data hunt in mobile cloud service

Smart cities are the emerging cities that provide essential services for people to have a comfort and quality life. These cities are designed using various sustainable practices. Increase in the population and the essence of comfortable living gave a tremendous growth in the urban areas which results in the generation of huge amount of solid wastes. Improper disposal mechanism leads to pollute the land, water and air. To avoid such a situation and to improve the cleaning, ‘IoT based smart garbage collector’ is proposed. In this paper we propose a garbage collector which makes use of the technologies like IoT and Cloud Storage for efficient solid waste management in smart cities. © IAEME Publication

Department of Computer Applications

International Journal of Civil Engineering and Technology

IoT based smart garbage collector for smart cities

This paper aims to detect and recognize faces in Digital Images. We have implemented our idea to train the computer to “see” or “know” how a typical face will be, a computer vision problem. Apart from using Neural Networks, we have used “Principal Component Analysis” (PCA)/KL transforms method combined with several distance measures in n-dimensional space to implement a face detection system. A test image is then scaled down into several smaller images and a sliding window is dragged across each image. The various distance measures are then used to classify the area inside the window as a face or not. Distance measures namely Euclidean distance and Mahalanobis distance have been used. These distance measures have been used for “Maximum Face Likelihood Detection”. For better results ML detection has been combined with “Symmetric detector”. We have shown the “Performance results of our implementation” which we have done. Face detection has been considered to be the first step towards our intended project on comprehensive “Emotion Recognition” from facial features. We have also implemented new Image Enhancement techniques by an Image Algorithm”. We have simulated the results using “MATLAB”. © 2018, Institute of Advanced Scientific Research, Inc.. All rights reserved.

Journal of Advanced Research in Dynamical and Control Systems

Face recognition and detection with new image enhancement techniques

In this scenario software testing is an important and valuable part of the software development life cycle (SDLC). Due to time, cost and other conditions, exhaustive testing is not feasible that’s why there is a need to automate the testing development. Testing efficiency can be achieved by the State Transition Testing (STT) and Test Specialist Reviewer (TSR) which are commonly used in real time, embedded and web-based kinds of software systems. The tester’s main job to test all the possible transitions in the system, In our work we proposed an Data flow testing method for the automated and full coverage of all state-transitions in the system. Current paper moves toward generates test sequence in order to obtain the complete software coverage. This paper also discusses the comparison between two heuristic techniques (Genetic Algorithm and Data flow testing) for transition based testing. © 2018, Institute of Advanced Scientific Research, Inc.. All rights reserved.

Applying knowledge based heuristic method for efficient test automation

Software testing is primarily a broad process aimed at investigating, evaluating and ascertaining the comprehensiveness, the quality of the software system in terms of user requirements. The key characteristic of software testing is that it has huge intellectual capital got from past experiences which yields potential benefits. Many effective knowledge management systems are specially proposed for managing this intellectual capital. Software testing gains positive verdicts using this knowledge management discipline. Many proposals are formalized for managing the software testing experiences and the testers’ knowledge but these concentrates on the generic description of the information and designed commonly for the product based system. The Current trend in software context is developing the custom software application, so a distinctive framework termed as Customized Knowledge Sharing (CKS) is proposed in this paper that provides knowledge management service, exploration service and document service. This framework specifically concentrates on getting the users’ requirements to retrieve appropriate test cases to generate suitable test suits for customized testing, there by optimizing/reducing the testers’ job rather than executing all the test suits as in contractual approaches. © 2017, Institute of Advanced Scientific Research, Inc. All rights reserved.

Customized services to generate test suits for testing custom software application system based on knowledge reuse

This paper considers the problem of conserving energy in a single node in a wireless sensor network by turning off the node's radio for periods of a fixed time length. While packets may continue to arrive at the node's buffer during the sleep periods, the node cannot transmit them until it wakes up. The objective is to design sleep control laws that minimize the expected value of a cost function representing both energy consumption costs and holding costs for backlogged packets. Large number of very small size, low cost, low power multifunctional sensor nodes constitute the WSN. These sensors way the understanding of the physical world by sensing, processing and transmitting the data. The above functions are highly influenced by factors such as power, energy and lifetime of the sensor nodes. This technical paper explores various low power design architectures like reconfigurable hardware, sleep walker, variable dual VDD, modular architecture and folded tree architecture by presenting a comprehensive survey concerning passive and active power control mechanisms in WSN with investigation of the existing solution and evaluation. © 2006-2016 Asian Research Publishing Network (ARPN). All rights reserved.

Department of Smart Computing

Energy efficient consumption for quality based sleep scheduling in wireless sensor networks

The main focus of this paper is on Big Data and Data Visualization techniques which together make the usage of data analytics more efficient and valuable. The term ‘Big Data’, is a phenomenon that is characterized by the rapid expansion of raw data. Big Data is often voluminous and tends to rapidly change, making it challenging to get a handle on and difficult to access. The majority of tools available to work with Big Data are complex, and most enterprises don’t have the sufficient experts to perform the required data analysis. Thus Data visualization techniques simplify this challenge and create an opportunity in analyzing and controlling the data in much more efficient way. © Research India Publications.

International Journal of Applied Engineering Research

Visualization: Enhancing big data more adaptable and valuable

Banking institutions are backbone of any country’s economy. The financial institutions are a means of providing finance to the needy. Recent technologies have helped the organizations to grow globally. Through all this development the one thing that hasn’t changed is customer segregation. Knowledge Management Systems help anorganization cope with turnover,rapid change and downsizing bymaking the expertise of the organization’s human capital widelyaccessible. Data mining techniques can also be widely used to segregate different services from bank. We apply KNN and decision tree algorithms and attempt to analyze bank customer’s data set and reduce the amount of data required to make better decision efficiently. The result is to segregate customer based on particular criteria to make the better decision to offer a better service. © 2016,International Journal of Pharmacy and Technology. All rights reserved.

International Journal of Pharmacy and Technology

Customer segregationin bankingorganisationusing knowledge management

The current 3G technologies provide many other services like video telecast, video conferencing, broadcasting TV programs, movies etc. This is achieved by feedback adaptation, whereby the media being sent is adapted in real time according to feedback information about the observed network state and application state. For the success of such adaptive schemes, the feedback must: 1) arrive in a timely manner and 2) carry enough information to effect useful adaptation. In this paper, we exploit the use of feedback adaptation for media streaming in 3G wireless networks, where the media servers are located in wired networks while the clients are wireless. The argument is that end-to-end feedback adaptation using only information provided by 3G standards is neither timely nor contain enough information for media adaptation at the server. The introduction of a streaming agent (SA) at the junction of the wired and wireless network provides useful information in a timely manner for media adaptation. Henceforth optimization algorithms can be designed to take advantage of SA feedbacks to improve performance. The improvement of SA feedbacks in peak signal-to-noise ratio is significant over non agent-based systems. © Research India Publications.