Projects
Development of Proportional-Integral-Derivative controller on arm cortex M4 processor and integration of WEB-SERVER for controlling purpose (Summer Intern).
We need the solution of choice when a controller is needed to close the loop. The reason PID controllers are so popular is that using PID gives the designer a larger number of options and those options mean that there are more possibilities for changing the dynamics of the system in a way that helps the designer. If the designer works it right s/he can get the advantages of several effects. In particular, starting with a proportional controller, and adding integral and derivative terms to the control the designer can take advantage of the following effects.
- An integral controller gives zero SSE for a step input.
- A derivative control terms often produces faster response.
Project Report | |
File Size: | 8199 kb |
File Type: | docx |
Presentation | |
File Size: | 4391 kb |
File Type: | pptx |
Performance Analysis of Smart Automation Systems (R&D Project).
This project primarily addresses verticals related to Smart Cities and Smart Villages such as the waste management, water management, new smart technologies to help the under-served in the country, and discusses issues related to smart city system integration challenges in India. A smart system basically consists of spatially distributed autonomous devices using sensors to monitor physical or environmental conditions. So, in this project we analyse different sensors, integrate them and automate them. Also, Cloud computing is a new computing paradigm to provide reliable resources, software and data on demand. We also aim the aspects of Big Data and implement certain protocols for better performance.
performance_analysis_of_smart_automation_systems.pptx | |
File Size: | 3481 kb |
File Type: | pptx |
r_d-2-final.pptx | |
File Size: | 1861 kb |
File Type: | pptx |
r_d_3_-_final.pptx | |
File Size: | 4061 kb |
File Type: | pptx |
performance-analysis-of-smart-automation-systems-progress-report.pdf | |
File Size: | 3961 kb |
File Type: |
Smart Flood Monitoring Solution (Iot project)
- This mini project entitles Flood Monitoring System. The purpose of this project is to improve road user safety when occurrence of flash flood. Our target for this project is in those areas that frequently occurrence flash flood especially in coastal areas. Nowadays, the road user will be trapped in flash flood because of the information about flash flood always delay. Now, this project gives road user alternative to provide them from the flash flood. Firstly, the ultrasonic sensor will be placed into the river to detect the level of river water. When the water rate increases, the reading of water level of river will be shown at monitor. If the water level reaches in beyond threshold, the alert is send central management system and also logged in the cloud and website. An email is also sent to the related individual.
smart_flood_monitoring_solution.pptx.pptx | |
File Size: | 3589 kb |
File Type: | pptx |
project_report.docx | |
File Size: | 1860 kb |
File Type: | docx |
Performance Enhancement and IoT Based Monitoring for Smart Home (Paper Published)
The 31st International Conference on Information Networking - ICOIN 2017
In recent years, home automation has become so popular due to its numerous advantages. The home environment has witnessed a rapid introduction of network enabled digital technology. This technology comes with new and exciting opportunities to increase the connectivity of different devices within the home for the purpose of home automation. This paper aims at designing a basic home automation system of controlling multiple appliances which can be monitored and accessed from anywhere in the world with very low cost. The technology incorporates Raspberry Pi and the web server. The Raspberry Pi and Arduino integrated with Nrf modules are used to monitor the home environment appliances, and the readings are passed to the web server designed. The parameters or commands sent through web page are monitored frequently and if any threats found the mobile connected to this web server is alerted through an alarm or message. The user can access this application from anywhere in the world. The result produced is low cost advantageous and absolute. Performance Analysis of different protocols (MQTT, HTTP and CoAP) is estimated using visualisations.
Congestion Detection and Reduction Scheme in VANETs (Paper Published).
2017 International Conference on Electronics, Information, and Communication
Vehicle monitoring is an intrinsic need and a requirement for many of the safety applications anticipated for vehicular networks. The major objective to achieve accurate and pervasive localisation is the need of the hour to attain location based services in vehicular ad-hoc networks (VANETs). In this paper, we present a mobility scenario that is developed in a urban scenario with the help of VISSIM tool that helps us to identify the trace of the vehicle. VISSIM generates the movement patterns of vehicles in a given network, considering various parameters and constraints like minimum distance between the vehicles, maximum speed on the road and the traffic controlled scenarios i.e. traffic signals and lights. The paper help to identify the Congestion scenario and to classify incoming message so that a priority can be assigned, at the same time to the comparatively older messages in the Congested network so that optimum usage of bandwidth can be done. The paper shows the protocol for the congestion detection mechanism and also for the reduction too.
Data Analytics Based Driver Assistance System in VANETs (Paper Published).
International Conference on Machine Learning and Soft Computing (ICMLSC 2017)
Vehicular Networks has a great potential to enhance the lives of people. When vehicular networks are integrated with Mobile Application, Web Application, cloud technology and Internet of Things, it helps to make the driving experience pleasant and safe. This paper aims to enhance the driver assistance by assisting in directions, transit time, and to cope up with the avoidable situations and emergency situations. The defined model aims to deliver reliable help in emergency situations by using efficient protocols to communicate to the cloud and efficient database retrieval methods so as to make the query respond faster and to provide a unique and safe experience to the driver. We adopted Bayesian methods of machine learning to efficiently estimate the performance parameters by probability distribution.