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

Low Power Wireless Area Network (LPWAN) has been used as one on the prominent Internet of Things (IoT) based protocol for various IoT services. It has been used in monitoring and transmitting the data to a remote server without any need of backhaul internet which makes it more preferred form on network in IoT technologies. Long Range Wireless Area Network (LoRa or LoRaWAN) is one such protocol that can be used to establish a system implementation using an IoT based data acquisition system. LoRaWAN can be used even in remote area to monitor data and send it to a remote server without the need of backhaul internet. Due to its inherent capability of sub 1 GHz spectrum usage and not blocking the air traffic spectrum of regular 2.4 GHz it can be thought of replacing the traditional networks which depends of WiFi or Zigbee based systems. Also, since the new paradigm shift in Artificial Intelligence which has strides in deploying ANN in various monitoring and prediction systems, which were mostly depending on traditional approaches. © 2019 Association for Computing Machinery.

Electronics

School of Electronics Engineering

Chennai Campus

Proceedings of the 2019 7th International Conference on Computer and Communications Management

Design of disaster management based on Artificial Neural Network and Logistic Regression

Weather forecasting has been still dependent on statistical and numerical analysis in most part of the world. Though statistical and numerical analysis provides better results, it highly depends on stable historical relationships with the predict and predicting value of the predict and at a future time. On the other hand, machine learning explores new algorithmic approaches in prediction which is based on data-driven prediction. Climatic changes for a location are dependent on variable factors like temperature, precipitation, atmospheric pressure, humidity, wind speed and combination of other such factors which are variable in nature. Since climatic changes are location-based statistical and numerical approaches result in failure at times and needs an alternate method like machine learning based study of understanding about the weather forecast. In this study it has been observed that percentage in departure of rainfall has been ranging from 46 to 91% for the month of June 2019 as per Indian Meteorological Department (IMD) by using the traditional forecasting methods, but whereas based on the following study implemented using machine learning it has been observed that forecast was able to achieve much better rainfall prediction comparative to statistical methods. © 2019, Springer Science+Business Media, LLC, part of Springer Nature.

Wireless Networks

Study of short term rain forecasting using machine learning based approach

Billions of data is getting connected to Internet of Things server but many a times the data is from different systems, especially in Industries a lot of data comes to same server through different gateways. Some typical applications like Healthcare, Transportation, and Smart City are looking to connect to the Internet of Things server but through a gateway of its own, which increases the complexity in system architecture. Traditional Internet of Things Gateways is used to collect the data from downstream devices connected to sensors and send it to the respective server for further processing. But however there is a need for typical heterogeneous gateways which can minimize the traffic and with presence Machine learning technologies, so the intelligence can be brought into the gateway itself for further prediction and processing. It is predicted that by 2022 the need of Internet of Thing gateways is not only to process the data stream but also apply some intelligence and if possible predict the outcomes based on the requirement, which means the Internet of Things gateway Architectures are going to be quite different from the traditional gateway architectures. Also it is important in cases like Smart Cities where there is a need of reading data from different heterogeneous devices which relies on its own architectures and network protocols like WiFi, ZigBee, LoRaWAN, Sigfox it is understood that if in case of these scenarios if there can be a single gateway which can read data from heterogeneous devices and process the data stream for further processing there can be much better understanding of data processing. This can also minimize network traffic, radiation hazards. The following work emphasizes on the need of Multi-standard gateway and relevant case studies focus on implementation of machine learning algorithm in predicting an appropriate result. © BEIESP.

International Journal of Innovative Technology and Exploring Engineering

Internet of things based gateways: Applications and challenges

VIT Unitversity

Indian Journal of Science and Technology

RF Control based Mobile Robotic System for Search Mission with GPS Tracker

Background/Objectives: Near Field Communication (NFC) technology follows traditional Radio Frequency Identification (RFID) standard that enables the communication using radio frequency between the devices that are separated by distance less than 10 cm. Methods/Statistical Analysis: The present work is a secured campus payment system that uses near Field Communication (NFC) technology and RFID integrated campus ID cards to make payments automatically within the organization or campus. The work is developed using an Arduino Microcontroller with PN532 based NFC controller shield and LabView. Findings: The system in implementation provides a convenient facility to act as a smart payment system in place of cash transactions with an added layer of authentication with no extra tags attached to it. Conclusion/Improvements: The smart campus payment system in implementation can be further enhanced to include the mobile NFC as the payment authentication system with banking features attached to the mobile NFC gateway.

NFC based Smart Campus Payment System

Background/Objectives: Lack of resources established in the present world is initiating everyone towards energy efficient technologies. Among all these resources, power is one which needs to be monitored and controlled as per the need since electricity consumption is increasing day-by day. Methods/Statistical Analysis: Internet of things reduces the effort of human by introducing machine to machine interaction. This work has been designed to implement smart power monitoring and control system through IoT using cloud data storage. Findings: Power consumed by various appliances is monitored through an ARM based controller interfaced to Hall Effect current sensors and stored in a cloud data base known as Xively. Power control of home appliances is achieved through actuators such as relays which can be controlled by client with the help of a web server. The web server is designed using Hyper Text Transfer Protocol for communication between client and server by establishing Remote Procedure Calls between client and server. Conclusion/Improvements: The designed system enables client to monitor and control the appliances at home from anywhere availing the IoT features of the designed system thereby reducing the wastage of energy.

Fulltext

Smart Power Monitoring and Control System through Internet of things using Cloud Data Storage

Background/Objectives: Home automation has been a booming field in the development of a modern home. The innovations and technology improvements have widely contributed to implementing smart home systems. Methods/Statistical Analysis: In this paper appropriate sensors are used to detect room temperature, movements in room, light intensity and gas leakage through an ARM Microcontroller. The sensed data's aretransmitted directly through WiFi to a webserver. Findings: The webserver monitors and to controls the home appliances light, fan, alarm and motor remotely. Communication can be done by 6Lowpan protocol which is an IPV6 protocol for low power wireless area networks. To utilize Constrained Application Protocol (CoAP) for application level communication and Datagram transport layer to provide energy efficient security features. The proposed framework provides monitoring, control and security features for the entire home automation network. Conclusion/Improvements: The proposed framework provides a secured Home automation system design.

Framework Development in Home Automation to Provide Control and Security for Home Automated Devices

Background/Objectives: Sensors implementation in automobiles has become a prime factor in the growth of the automobile industry. The quality of an Automobile is determined by the number of sensors integrated and also the sensitivity of the sensors to deliver the nominal conditions of the surroundings of the automobile. Methods/Statistical Analysis: The impact of sensors in today's automobile industry varies in multiple numbers of applications starting from the control of the automobile till the safety of the passengers in the automobile. Tilt sensor and Accelerometer function are utilized to analyze the car condition during a crash incident, where the change in tilt condition of the car or the accelerometer value can trigger a camera to capture the image and transmit the image to an authority of preference through mail client. Findings: The impact of sensors in today's automobile industry varies in multiple numbers of applications starting from the control of the automobile till the safety of the passengers in the automobile. These results are obtained by the integration of numerous sensors and the combined data values obtained from them for calculating the complexity of the situation. The project involves the combination of sensor value details and to be able to monitor the values from a remote location by feeding them into a platform which utilizes the cloud storage. A web server is also designed where the sensor values are saved in the form of log files with time stamp for future reference. Conclusion/Improvements: The overall system is employed with the help of a Beagle Bone Black microcontroller which is an effective replacement of a computer performing all the desired functions as such as a computer does towards the understanding of the system development.