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Author

M Shanmugasundaram

Bio: M Shanmugasundaram is an academic researcher from VIT University. The author has contributed to research in topics: Cloud computing & Population. The author has an hindex of 3, co-authored 17 publications receiving 33 citations.

Papers
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Proceedings ArticleDOI
23 Apr 2019
TL;DR: The design of smart office systems for controlling, monitoring and automation of electrical appliances depending on the entry and exit of the individual employee into the workspace are presented.
Abstract: This Internet of Things is the interconnection of everyday objects with each other via the Internet of computing devices embedded in them, enabling them to send and receive data. This paper presents the design of smart office systems for controlling, monitoring and automation of electrical appliances depending on the entry and exit of the individual employee into the workspace. This design also simultaneously maintains and monitors the information in the cloud about the entry and exit timings, number of cabins electrified and electricity usage of the employees using the RFID tags scans at the entry point of the office, It also allows and assists the employees to control and monitor his cabin electricity status through a smartphone. The Intelligent system for office environment project mainly focuses on the use of convenience for the users and to save electricity. To optimize office administrative management, a webpage is created which gives the administrative management the information about how many cabins. The equipment used for this is RC522 reader which is a Radio Frequency Identification system (RFID) which will send the data to the raspberry pi which controls the office environment using IoT. A mobile phone application is designed which works by integrating the concoction of both IoT and the RFID system to monitor and control the devices through the application ‘MQTT’ which remotely gives the flexibility to the users.

9 citations

01 Jan 2013
TL;DR: A low cost, low power smart home system using ZIGBEE, GSM, sensors, sensors (smoke, IR motion sensors, RFID, LabView) and RFID has been presented.
Abstract: In recent years Intelligent Smart Home System has become one of the main applications of Wireless Sensor Networks. In this paper a low cost, low power smart home system using ZIGBEE, GSM, sensors (smoke, IR motion sensors) and RFID has been presented. ZIGBEE is a new short distance, low data rate wireless network technology. It is built on the IEEE 802.15.4 low rate wireless Personal Area Network standard. PIC16F877A controller is used in a predominant way because it is rich in peripherals and hence many devices can be interfaced at ease, it is also very cheap and can be easily assembled and programmed. The PIC controller controls the devices and sends the sensor values to the PC via ZIGBEE module. Although Bluetooth is better than ZIGBEE for transmission rate, ZIGBEE has lower power consumption. Hence, ZIGBEE is generally used for 24 hours monitoring of communication transmission systems. At the PC terminal, LABVIEW is used to control the GSM and ZIGBEE operations. The system can detect fire and theft situations and reacts accordingly by turning on the buzzer and sending alert SMS through GSM module. This system also monitors the building occupants and saves the energy by switching off certain devices like fan and lights when the room is unoccupied. Keyword: PIC Controller, ZIGBEE, GSM, Sensors, RFID, LabView

8 citations

Journal ArticleDOI
01 Nov 2017
TL;DR: This paper enlists some of the already existing methods along with some add-ons to improve the existing system for quadriplegia rehabilitation, and designs a system, which will be designed using Raspberry Pi and IR Camera Module.
Abstract: Paralysis is considered as a major curse in this world. The number of persons who are paralyzed and therefore dependent on others due to loss of self-mobility is growing with the population. Quadriplegia is a form of Paralysis in which you can only move your eyes. Much work has been done to help disabled persons to live independently. Various methods are used for the same and this paper enlists some of the already existing methods along with some add-ons to improve the existing system. Add-ons include a system, which will be designed using Raspberry Pi and IR Camera Module. OpenCV will be used for image processing and Python is used for programming the Raspberry Pi.

5 citations

Proceedings ArticleDOI
01 Apr 2017
TL;DR: This paper enlists some of the already existing methods along with some add-ons to improve the existing system for quadriplegia rehabilitation, and designs a system, which will be designed using Raspberry Pi and IR Camera Module.
Abstract: Paralysis is considered as a major curse in this world. The number of persons who are paralyzed and therefore dependent on others due to loss of self-mobility is growing with the population. Quadriplegia is a form of Paralysis in which you can only move your eyes. Much work has been done to help disabled persons to live independently. Various methods are used for the same and this paper enlists some of the already existing methods along with some add-ons to improve the existing system. Add-ons include a system, which will be designed using Raspberry Pi and IR Camera Module. OpenCV will be used for image processing and Python is used for programming the Raspberry Pi.

4 citations

Journal ArticleDOI
TL;DR: A comparative analysis of different approaches for transient fault tolerance like PBS, RM-FT, FSP, BCE and MWFD will help to identify the optimal approaches for tolerating the transient fault in critical real time systems.
Abstract: Objectives: This aim of this paper is to analyse different approaches for transient fault tolerance like PBS, RM-FT, FSP, BCE and MWFD. Methods: Transient faults are emerging as a critical issue in the reliability of real time systems. Besides multiprocessors being an apparent part of various booming technologies now-a-days, it becomes evident to make these systems susceptible, reliable and consistent to transient faults. Thus, to address the increasing susceptibility of multiprocessors systems to transient faults, different approaches are analysed to counter transient faults. Findings: To identify the optimal method for various constraints like slack time, reduction in time space and reconfiguration etc. Applications: This comparative analysis will help for us to identify the optimal approaches for tolerating the transient fault in critical real time systems.

4 citations


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Proceedings ArticleDOI
16 Mar 2017
TL;DR: An all purpose medical toolkit that can be flawn to any crisis situation is developed and it is used to give the actual time situation results to the ambulance and the hospital team so that they will be ready to serve to the needs of the patients.
Abstract: Several thousands of people die day to day due to the time lag taken by the Ambulance service to reach the accident spot. This happens due to traffic jam, congestion in the city. A prototype of an emergency flying air ambulance or an ambulance drone which can reach the fatal cases faster than a normal ambulance which saves time is designed and it also measures the different health parameters using its measuring devices. When a phone call is given to the emergency number, the emergency operator tracks the location and navigate using global positioning system. The ambulance drone enters the scene in the instant time and real time commands are provided by the operator. The drone consist of a mini patient monitoring system which comprises of variant sensors which can be conveniently attached to the victim body and the important parameters is measured and it is immediately sent to the ambulance as well as to the nearby hospital using global positioning system and ZIGBEE. The particular result helps the paramedics as well as the doctors to evaluate the situation quicker with better diagnostic and therapeutic choices. Therefore, the goal is to develop an all purpose medical toolkit that can be flawn to any crisis situation and it is used to give the actual time situation results to the ambulance and the hospital team so that they will be ready to serve to the needs of the patients. This prototype helps to support the routine ambulance rather than replacing the normal ambulance

26 citations

Journal ArticleDOI
TL;DR: This work demonstrates an efficient method of real time remote monitoring of environmental parameters using Intel Galileo – an IP sensor node that acquires the data from the environment like temperature, pressure etc and a server that is connected to the Wi-Fi router that acts as a gateway for this network.
Abstract: Internet has evolved from connecting computers to connecting everyday things that interacts with the environment. Embedded devices that are IP-enabled can be employed for real time remote monitoring in the Internet of Things (IoT) environment. This work demonstrates an efficient method of real time remote monitoring of environmental parameters using Intel Galileo –an IP sensor node that acquires the data from the environment like temperature, pressure etc. and a server that is connected to the Wi-Fi router that acts as a gateway for this network. The Web server provides the real time sensor information with dynamic updates in the form of webpage to the remote client.

16 citations

Journal Article
TL;DR: How evolving technologies of radio frequency identification (RFID) and wireless sensor network (WSN) can be used for building a smart university is presented and results show that consumption of energy is decreased while authentication and truthfulness of attendance record are increased.
Abstract: Attendance is one of the important factors that determine the students rendering. There is a necessity to build a smart system that decrease load in managing the attendance and improves the performance of colleges, universities and any educational institute. The most common actions in educational organizations involve identification of student, maintenance of student attendance, security of attendance and electrical power conservation at the place where the attendance is taken. In this paper, the mentioned topics are considered and present how evolving technologies of radio frequency identification (RFID) and wireless sensor network (WSN) can be used for building a smart university. Prototype is developed considering main cases concerned in a smart university. The system is interesting of smart student attendance, smart automation of electrical items and taking attendance in authenticated manner. Results show that consumption of energy is decreased while authentication and truthfulness of attendance record are increased.

14 citations

Proceedings ArticleDOI
13 May 2021
TL;DR: In this article, a cloud-based mobile application is designed for home key authentication using biometrics face recognition initialization for home door unlocking using IOT paradigm and OpenCV (image processing) to secure and control the shelter in the owner's absentia.
Abstract: This research article depicts the working of a secured door unlocking system, using a cloud based mobile application. Easy access of home key is controlled remotely irrespective of the time and space. The application is specially designed it biometrics face recognition initialization for home door unlocking using IOT paradigm and OpenCV (image processing). The major scope of the application is to secure and control the shelter in the owner’s absentia. The user Interface of the work is rendered in such a way that, a typical household can understand the terminologies and usages.

14 citations

Journal ArticleDOI
TL;DR: An intelligent overclocking mechanism for the MEC server that operates for an intelligently calculated period to allow it to leverage more computing power without introducing additional hardware resources for a certain period of time is suggested.
Abstract: With the rapid growth of user equipment (UE), the amount of data transmitted over networks has become enormous, exerting immense pressure on backbone networks and central cloud infrastructures. Simultaneously, corresponding applications requiring high energy consumption and low latency have multiplied the requirements for UE. Mobile edge computing (MEC) has been proposed to support the offloading of UE tasks to edge clouds for execution. The implementation of MEC requires fast data transmission between UE and edge servers, and the emerging 5G network appears to render this technology possible. In this paper, considering a large number of UE, a fixed MEC server, and an advanced intelligent network, we suggest an intelligent overclocking mechanism for the MEC server that operates for an intelligently calculated period to allow it to leverage more computing power without introducing additional hardware resources for a certain period of time. We jointly manage task offloading, server resource allocation, and overclocking to minimize the system-wide computation overhead and other risks. The proposed optimization problem is a mixed-integer nonlinear programming problem that is divided into three subproblems: offloading decision, resource allocation, and overclocking decision. We solve these subproblems using non-convex techniques and provide an iterative algorithm to obtain a heuristic solution for the original problem. Finally, simulation results show that the overclocked MEC server has lower system-wide computation overhead, faster task processing, and more offloaded UE as compared with the case without overclocking.

12 citations