Kongu Engineering College

About: Kongu Engineering College is a based out in . It is known for research contribution in the topics: Computer science & Cluster analysis. The organization has 2001 authors who have published 1978 publications receiving 16923 citations.

Fabrication of microbial fuel cells with nanoelectrodes for enhanced bioenergy production

Abstract: Global energy demand is accelerating almost daily, resulting in an energy crisis and environmental pollution. Energy from fossil fuels remains nonsustainable owing to their limited, exhausting supplies and the environmental impact. Hence there has risen a need for alternate energy sources which are ecofriendly and sustainable. Researchers worldwide are studying microbial fuels to this end. A microbial fuel cell (MFC) works on the principle of converting chemical energy from microbes into electrical energy. The entire process is mediated through microbial catalytic reactions. Although the initial power generation efficiency of MFCs was low, a number of recent alterations to the design, parts, and overall process have resulted in enhanced power output. Recently, nanomaterials such as cerium and graphene have been incorporated into anodes and cathodes for better energy derivation.

Congestion control in ATM networks using fuzzy logic

Abstract: Summary form only given. Congestion in an ATM network is a condition in which performance degrades due to saturation of the network resources such as available communication links, processor speed and buffer capacity. The connection/call admission control (CAC) procedures determine if sufficient resources are available in the network to support the requested call. In this paper, a fuzzy logic based system is presented to deal with the congestion control problem in asynchronous transfer mode (ATM) networks. We examine the conventional CAC and fuzzy based CAC systems. The conventional CAC systems that utilize either capacity estimation or buffer thresholds are incapable of obtaining complete statistics on input traffic. This paper exploits the fuzzy concepts in order to provide effective congestion control in ATM networks. The investigation is based on the simulation of peak cell rate (PCR), sustained cell rate (SCR) and number of calls accepted.

Performance enhancement of IPv6 low power wireless personal area networks (6LoWPAN) by Lamport’s algorithm

Abstract: The internet of things (IoT) requires connecting various physical devices, including computing and mechanical devices to the internet. IPv6 over low power wireless personal area networks (6LoWPAN) is the great option for realizing IoT. IEEE 802.15.4 defines the physical and medium access control (MAC) layers of 6LoWPAN. MAC layer of 6LoWPAN plays an important role in the efficient utilization of resources and energy consumption of 6LoWPAN devices. The contribution of this paper is the improvement of resource utilization of 6LoWPAN devices including energy consumption and delay using Lamport’s algorithm in the MAC layer instead of the conventional carrier sense multiple access with collision avoidance approach. The proposed Lamport’s algorithm protocol shows a significant improvement in energy consumption and throughput of 6LoWPAN devices.

Analysis on Behavioural Changes in the Intellectual Disability of the Individuals

Abstract: The Intellectual disability (ID) is the major problem of many individuals in this century. The Intellectual disability will be determined as per the individuals Intelligent Quotient (IQ). The subjects with ID may not able to lead their life own. They are in need to have the dependence of the surrogate till the end of their life. In this project, the recommending of some activities will help to identify the likes and dislikes of the subject and also it helps to improve the activity of brain. By using MATrix LABoratory (MATLAB), with the recommending activities the EEG signals of the subject are taken non-invasively with the help of the headband and monitored. By the Hardware setup of ATMEGA 8 controller, the activities which the peak values of the likes obtained will be displayed in the monitor. So, the repeating of this process will helps the subjects to identify their basic needs and also helps them to have an independent life.

Design and implementation of smart home energy management systems using green energy

Abstract: One of the main innovations of the intelligent grid is the use of clean resources and energy storage of delivery systems in the smart home. A primary resource of energy storage schemes is market-based control. Instead of the public network, the intelligent grid design has been frequently envisioned in suburban communities. The smart home renewable energy management (SHREM) system has been proposed, and this system provides high efficiency and high-quality solar panel for power generation. The proposed SHREM system manages smart home energy needs by installing renewable energy and planning and controlling electricity flow during peak and off-peak periods by optimization techniques. Besides, the two-way communication protocol has been designed to help maximize the flow of resources and usage efficiency for the homeowner and service provider. SHREM framework is supposed to optimize home energy consumption and save home energy costs by considering energy consumption and generation. The statistical analysis shows the highest performance accuracy of 89.2% and a lower average electrical load shifting ratio of 0.68 (within the threshold level) than existing models.