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

Developments in the gas turbine technology have caused widespread usage of the Turbomachines for power generation. With increase in the power demand and a drop in the availability of fuel, usage of turbines with higher efficiencies has become imperative. This is only possible with an increase in the turbine inlet temperature (TIT) of the gas. However, the higher limit of TIT is governed by the metallurgical boundary conditions set by the material used to manufacture the turbine blades. Hence, turbine blade cooling helps in drastically controlling the blade temperature of the turbine and allows a higher turbine inlet temperature. The blade could be cooled from the leading edge, from the entire surface of the blade or from the trailing edge. The various methods of blade cooling from leading edge and its comparative study were reviewed and summarized along with their advantages and disadvantages. © 2021 International Information and Engineering Technology Association. All rights reserved.

World University root node

Department of Communication Engineering

School of Electronics Engineering

Vellore Campus

Department of Thermal and Energy Engineering

School of Mechanical Engineering

International Journal of Heat and Technology

Comprehensive review on leading edge turbine blade cooling technologies

Medication requirements and health issues have been on the rise in the last decade and to cater to this numerous technologies have been introduced to the health sector. Internet of Medical Things (IoMT) has been on the rise and providing medical care to the much needed through services, smart medical devices that not only provides an enhanced platform to the doctor but also to the patients to maintain better healthcare levels. This paper addresses the implementation of a multilayered architecture for a health monitoring kit incorporated with sensors and alert mechanism to activate a pill dispenser. The sensor data is relayed to a personalized android application and care has been taken to make sure that the patient receives the medicine on time and in the required dosage

VIT Unitversity

International Journal of Engineering and Advanced Technology Special Issue

IOT Based Portable Medical Kit

Typically sorting of items is done manually requiring human work. Identifying a particular object and placing it in the required order is a taxing work especially in the industrial field wherein one needs to sort a large number of objects in a small interval of time and also weight of the objects is much larger than what an average human can bear. Automation plays a noteworthy role in such cases. Taking mentioned factors under consideration alongside providing a cost efficient solution, we have presented our system in this paper. We are using Raspberry Pi, which is an open source board based on Linux. In today's technology, raspberry pi has been a key in a major number of applications in automation. Our objective will be to examine its utility and effective use as a mechanical system in Sorting of Objects.Besides we are making use of a web camera that scans the image of the particular object to be sorted. The scanned image is then further processed using OpenCV to detect the shape and color of the object. OpenCV (Open Source Computer Vision) is a library of programming functions mainly aimed at real-time computer vision. With the help of the processed information in OpenCV, motor driver is instructed to control the servo motors which will help drive the object to the required sorted section. In our project, objects of 3 different colors and shapes, i.e. Pentagon, Square and Triangle with Red, Green and Blue colors. © 2018 IEEE.

2018 3rd International Conference on Communication and Electronics Systems (ICCES)

Object Sorting Automated System using Raspberry Pi

This paper proposes a low cost intelligent system for monitoring, control, safety and security of industries. The monitoring system incorporate sensors like temperature, gas, ultrasonic, current and voltage, which screen parameters continuously and send data to a remote server using a ZigBee module for real time inspection. The monitored data log is stored in spreadsheet and can be updated to a cloud. The system has also utilized Red Tacton, a NFC based device which uses human touch to capture data and viewing can be done using a wearable or laptop. When abnormal readings are received, suitable actions and alerts are triggered by the server. This system can also control the appliances from a remote server laptop/computer. The security framework includes a password based door lock with facial recognition based authentication log. Door can be opened/closed using a passkey or through a mobile/web application. Facial recognition system uses CNN algorithm to recognize faces of employee and update their entry/exit details into a database. If an intruder tries to break in, an email alert is sent to the respective officials for action. © 2018 IEEE.

2018 2nd International Conference on Trends in Electronics and Informatics (ICOEI)

Smart Industrial System for Monitoring, Control and Security Using Internet of Things

This paper focuses on a robust and flexible edge detection technique based on Independent Component Analysis (ICA) on satellite images for recognition and subjective analysis of changes caused due to Japan earthquake 2011 followed by a devastating tsunami. ICA has been applied to satellite image patches to learn the basis functions using the fixed-point FastICA algorithm. As most of the basis functions are sparse, they are used as pattern template for feature extraction. These basis functions are usually localized, band-limited and oriented like Human Visual System (HVS) and resemble as Gabor wavelet basis function. In the proposed edge detection technique GeoEye’s IKONOS satellite images corresponding to pre and post events have been first transformed to pattern maps (feature map) in which edges and background pixels have been classified into different classes. The edges have been extracted by using sparse components only, whereas non sparse components have been suppressed and treated as background. © Research India Publications.