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

VIT Unitversity

Computer Science

School of Computer Science and Engineering

Chennai Campus

Multimedia Tools and Applications

Cybernetic microbial detection system using transfer learning

Advances in Intelligent Systems and Computing Artificial Intelligence and Evolutionary Computations in Engineering Systems

AWS Infrastructure Automation and Security Prevention Using DevOps

Neural Computing and Applications

Tuberculosis (TB) detection system using deep neural networks

Microscopes have become a significant part of pathological study. Currently, motorized microscopes are enabled with horizontal and vertical movements, with the facility of fast response in acquiring images or videos from the slide. During microbial screening, viewing the specimen needs following a directional path viz., zig-zag, inward spiral, meander, and so forth. Even though the motorized movements are built-in, human intervention is required while screening. This leads to time delay in the scanning process and may leave some portions of the specimen unattended. In this proposed system, a programmable framework to define the scanning direction for the specimen and a firmware to control the microscopic stage is implemented, to enable customization of the scanning pattern without any human intervention during complete course of screening. The user can define the customized scanning pattern using two-dimensional (2D) graphics drawing primitives. The final drawing is converted into preparatory codes through a micro-computer numeric controlled software, which extracts the address information relating to the movement and direction of the stage. These X, Y directional information are fed into the machine control unit for activating the linear driving system, which has servo drives and motors to power the spindle for precise microscopic stage movement. The proposed system is cost effective and reduces the reliance on technicians in examining the whole slide. The system is also portable and can be attached to any conventional or fluorescence microscope. Some pre-defined scanning patterns have been tested for the stage movements and validated in this work.

Microscopy Research and Technique

A programmable microscopic stage: Design and development

World University root node

Mathematics

School of Advanced Sciences

Fulltext

EAI Endorsed Transactions on Energy Web

Model to estimate the salt and pepper noise density level on gray-scale digital image

International Journal of Computer Graphics & Animation

An Efficient Line Clipping Algorithm for Circular Windows Using Vector Calculus and Parallelization

Lecture Notes in Electrical Engineering Computational Signal Processing and Analysis

A Novel Video Analytics Framework for Microscopic Tracking of Microbes

Malaria parasite has been visually inspected from the Giemsa-stained blood smear image using light microscope. The trained technicians are needed to screen the malaria from the microscope; this manual inspection requires more time. To reduce the problems in manual inspection, nowadays pathologist moves to the digital image visual inspection. The computer-aided microscopic image examination will improve the consistency in detection, and even a semiskilled laboratory technician can be employed for diagnosis. Most of the computer-aided malaria parasite detection consists of four stages namely preprocessing of blood smear images, segmentation of infected erythrocyte, extracting the features, detection of parasite and classification of the parasites. Feature extraction is one of the vital stages to detect and classify the parasite. To carry out feature extraction, geometric, color, and texture-based features are extracted for identifying the infected erythrocyte. Among these clause of features, texture might be considered as a very fine feature, and it provides the characteristics of smoothness over the region of interest using the spatial distribution of intensity. The proposed work demonstrates the merit of the texture feature in digital pathology which is prone to vary with respect to change in image brightness. In microscope, brightness of the image could be altered by iris aperture diameter and illumination intensity control knob. However, the existing literature failed to mention the details about these illumination controlling parameters. So the obtained texture feature may not be considered as distinct feature. In this paper, we conducted an experiment to bring out the deviation of texture feature values by changing the brightness of the acquired image by varying the intensity control knob. © Springer Nature Singapore Pte Ltd. 2018.

Estimation of Texture Variation in Malaria Diagnosis

An event is a special occasion that occurs when few or more people gather together to fulfill their personal, cultural or organizational objectives. With many events happening every day, few handy tools are available to help an event organizer to initiate, track and propagate an event. Often important data such as contacts, mails are saved by the organizer in some apps like Excel, calendar, mobile contacts, and mailbox, but not easily retrieved when needed for a follow-up event. Some of the information belongs to common events are not been grouped categorically, so it could not be suitable to relate the similar actions with respect to events which are associated to each other. Follow-up events usually use almost similar data from the previous season, but every time the organizer ends up spending more time searching for the previous records and sometimes fail to retrieve. Event based apps are available in the mobile environment very few in number, and especially such follow-up concentrated event tracker application is not available. Hence, Eventr is designed to fulfill this purpose. Eventr will solve this issue by initiating event, automating simple tasks, record critical data till the event day, this information are stored in the form of Eventr ontology. Since it is ontology based event representation, it would make possible to identify the intermediate tasks of a particular event and to retrieve the tasks associated with the event to the event organizer for the next season.

Asian Journal of Pharmaceutical and Clinical Research

EVENTR - DESIGN OF AN EVENT MANAGEMENT MOBILE APPLICATION USING ONTOLOGY

Mechanical

School of Mechanical Engineering

Indian Journal of Science and Technology

Air Compressor Fault Diagnosis Through Vibration Signals using Statistical Features and J48 Algorithms

Proceedings of the 3rd International Symposium on Big Data and Cloud Computing Challenges (ISBCC – 16’) Smart Innovation, Systems and Technologies

Intuitive Touch Interaction to Amputated Fingers

SIGGRAPH Asia 2014 Technical Briefs on - SIGGRAPH ASIA '14

ColorFingers

Proceedings of the 27th international ACM conference on International conference on supercomputing - ICS '13

Exploiting data parallelism in the yConvex hypergraph algorithm for image representation using GPGPUs