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

Wireless sensor networks are used in various fields, such as military, healthcare, agriculture, environment monitoring, Monitoring and preparation of critical infrastructure. However, due to some of the restrictions of WSNs on storage, power consumption, communication, computation, scalable, security and privacy; people are looking forward cloud environment with large storage framework for the processing and storing of real time data. The cloud environment is providing large storage space and better services to the people in scalable manner. Sensor-cloud infrastructure is popular, providing an open, flexible and reconfigurable platform for many monitoring and control applications. In this work presenting a sensor-cloud infrastructure for storing data related to agriculture, Infrastructure that shows how to transfer data from WSNs to the cloud. In addition we addressed malicious attacks, issues and challenges in sensor cloud infrastructure. The idea of our proposed work is to collect all the samples for the soil. We choose the most favored plants around the India, then, select three plants, namely rice, sugarcane and wheat. After selecting the plants we collect data related to agriculture irrigation from different types of sensors such as soil moisture, temperature, humidity, and soil PH, CO2 and light sensors. Based on the data collected, our proposed system advice to farmers that usage of pesticides, fertilizers which are most suitable to their lands at the same time, we integrate to improve agriculture productivity in India. © 2019 by Advance Scientific Research.

World University root node

Department of Database Systems

School of Computer Science and Engineering

Vellore Campus

Journal of Critical Reviews

A survey on security issues in sensor cloud environment for agriculture irrigation management system

Department of Software Systems

Department of Information Security

International Journal of communication and computer Technologies

A TRUSTED DATABASE ON ENQUIPMENT WITH PROTECTION AND INFORMATION PRIVACY

The secured web-based voting framework is the need of the present time. We propose another secure authentication for the online voting framework by utilizing face recognition and hashing algorithm. A simple verification process is accomplished during the initial registration process via email and phone. The voter is asked to give a unique identification number (UIN) provided by the election authority and face image at the time of main registration. This UIN is converted into a secret key using the SHA algorithm. The face image that is saved in the Amazon web service (AWS) acts as an authentication mechanism which enables people to cast their vote secretly. The voters, who cast numerous votes amid the way toward voting is guaranteed to be counteracted by encrypted UIN. The election organizers can see the election parallelly as the voting is saved in the real-time database. The privacy of the voter is maintained as the details are converted into the key. In this system, an individual can vote from outside of his/her allocated constituency.

Department of Mathematics

School of Advanced Sciences

International Journal of Engineering & Technology

Hashing based Hybrid Online Voting Using Amazon Web Services

For centuries, cancer has been a threat to human lives. It has become one of the leading causes of death since many decades. The early detection of cancer can contribute much to reduce the morbidity rate of the disease. The goal of mammography is the early detection of breast cancer, usually through the detection of featured masses and/or micro calcification. In this paper, we proposed a methodology to detect tumors on digital mammograms. To proceed with the work, we focus on image pre processing. It is done using a scheme (a) mammogram enhancement and (b) mammogram segmentation. The first stage involves enhancement which can be outlined as enhancing the quality of the image to a much apprehensible and a better level. The second stage pertains to improving the global contrast of an image using image’s histogram. The final stage includes the segmentation to change the image representation into a form which is more substantive and easier to analyze. The experimentation of these methods is performed on mammograms of MIAS database. © IAEME Publication.

Department of Software and Systems Engineering

School of Information Technology and Engineering

Department of Social Sciences

School of Social Sciences & Languages

International Journal of Civil Engineering and Technology

A computer aided system to detect breast masses using digital mammograms

Air pollution has significant influence on the concentration of constituents in the atmosphere leading to effects like global warming and acid rains. The disproportion of the constituents in the air or atmosphere is monitored using the air pollution monitoring system. The classical air pollution monitoring system uses the costly instruments for monitoring the environment at fixed locations. Most of the traditional monitoring system is coarse- grained and costlier during the real time implementation. Some system have problems such as communication overhead, time and power consuming. The efficient clustering based data aggregation is proposed in this paper for reducing the communication overhead and efficiently monitoring the environment. The sensor nodes in the networks are grouped into clusters and the cluster head is selected using the optimization algorithm such as firefly algorithm. The data aggregation using the hybrid genetic algorithm is also proposed in this paper for efficient data transmission by reducing the communication overhead. The simulation results shows that the performance of the proposed methodology is better than the existing one and the proposed system collects the reliable source of real time fine-grain pollution data.

Jurnal Teknologi

A CLUSTERED WIRELESS SENSOR NETWORK BASED AIR POLLUTION MONITORING SYSTEM WITH SWARM INTELLIGENCE BASED DATA AGGREGATION

Learning is an interactive process that involves the learners, teachers and the contents. With the massive growth in WWW technologies, learning has become a ubiquitous process where there are no restrictions on the time and place of learning for the learners. The support for online learning has paved the way for easy access to the educational resources and also given the learners the comfort of learning from their home. This paper focuses on the related works in the field of e-learning and highlights the importance of the contributions being made towards addressing the issues with the learning contents and the effectiveness of content delivery for the learners. The contents of this paper are organized under the topics viz. Introduction, learning contents, learning object repositories, learning object metadata, learner profiles, generating learning experiences and adaptive content recommendation.

International Journal of Engineering and Technology

Recent trends in eLearning environment for effective content dissemination to online

As the countries become industrialized, the pollution level to our environments increases and this pollution becomes a major problem for the health of the population and also affects the ecosystem. Although some standards are set with environmental authorities for wastes emissions in air, the monitoring and controlling of those standards is still a challenge in most countries. To avoid such adverse imbalances in the nature, an air pollution monitoring system is utmost important. Some of the pollution monitoring systems in cement factories are WAPMS, AMSVSN and WSN-AQMS. These systems are installed to monitor the emissions of NO2, SO2 and CO2 in air using Wireless Sensor Networks (WSN). These networks allow the physical environment to be measured at any point, and greatly increase the quality of the environment. This paper reviews the existing the air pollution monitoring system based on different methods along with their advantages and disadvantages. The Air pollution monitoring system based hybrid fuzzy genetic algorithm is proposed for efficient air pollution monitoring using WSN. The experimental results are produced and it is compared with the existing system such as WAPMS, AMSVSN and WSN-AQMS. The simulation results shows that performance of the proposed methodology is better than the existing one. © Research India Publications.

International Journal of Applied Engineering Research

A comparative study of air pollution monitoring system in wireless sensor network

Today, robotics is an auspicious and fast-growing branch of technology that involves the manufacturing, design, and maintenance of robot machines that can operate in an autonomous fashion and can be used in a wide variety of applications including space exploration, weaponry, household, and transportation. More particularly, in space applications, a common type of robots has been of widespread use in the recent years. It is called planetary rover which is a robot vehicle that moves across the surface of a planet and conducts detailed geological studies pertaining to the properties of the landing cosmic environment. IDE (Integrated Development Environment) for Rover is the development environment for the language Rova. We developed a language called rova, this language only built for the machine rover. Rover is a remotely controlled vehicle, which consists of camera to capture the images. The dynamic model of a Six-Wheeled Articulated lunar rover is researched in this paper. Refer to vehicle dynamics theory, the forces acting on the wheels are analyzed in terms of mechanical principles and configuration features on rough terrain. The language Rova consists of set of instruction and some control structures, which is used to control the Rover and to capture the videos and images. Using this IDE we can send the signal to the Rover and the Rover will respond according to the signal. And it will send images and videos to the system.