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.

A Review on Possibilities of Hearing Loss and Implantable Hearing Devices for Teenagers

Abstract: In the current world, one of the most predominant issues identified from children to older adults is hearing loss and it turns the attention of research community. The people identified with permanent sensori-neural hearing loss are required to use amplification devices, which is the most manageable option for them. This study brings out the causes and effects of hearing loss among teenagers and older adults and discusses the current IoT enabled techniques which provide the solution for hearing loss.

Enhancing quality of service in MANETS by effective routing

Abstract: This paper evaluates the performance evaluation by combining Network layer and MAC layer protocols with Transport layer congestion control mechanisms operating in a mobile adhoc network. In Adhoc networks, certain QoS parameters like error rate, delay and packet loss are increased and certain parameters like throughput and delivery ratio are decreased in Transport layer is due to MAC problems and disconnection is also possible due to mobility because the network layer is not able to detect the path to deliver the packets. So, combine the mechanisms of these three layers to improve the QoS drastically. We examine the effects of two different MAC protocols— IEEE 802.11and IEEE802.11e with AODV and DSR of routing algorithms with Slow start and Arithmetic Increase and Multiplicative Decrease (AIMD) mechanism of TCP.IEEE802.11uses distributed coordination function (DCF) where IEEE802.11e uses enhanced distributed coordination function (EDCF). Specifically, we access the impact of multiple wireless hops and node mobility on the throughput performance of TCP on each MAC protocol with two routing algorithms. Additionally the other QoS parameters of delay, Bandwidth delay product, delivery ratio and packet loss is also investigated. Results show that in all instances, the QoS parameters 15–20% improvement in throughput, 40–45% improvement in bandwidth-delay product, 10–15% improvement in delivery ratio, packet loss is reduced drastically to 40–50% in IEEE802.11e with AODV algorithm in network layer and slow start mechanism in transport layer. Similarly Results shows, the QoS parameters 35–40% improvement in throughput, 25–30% improvement in bandwidth-delay product, 15–20% improvement in delivery ratio, packet loss is reduced drastically to 20–25% in IEEE802.11e with AODV algorithm in network layer and AIMD mechanism in transport layer. But if DSR algorithm is used in the network layer instead of AODV it affects the QoS parameters. In both cases DSR algorithm increases the packet loss which in turn affects the throughput and packet delivery ratio. The reason is analyzed and suggests the suitable mechanisms implemented in each layer to enhance QoS parameters.

Proactive Decision Making Based IoT Framework for an Oil Pipeline Transportation System

Abstract: In today’s modest production atmosphere, process diligences ultimatum a completely incorporated control along with optimization elucidation which can upsurge throughput, dependability, and superiority while diminishing cost. Due to the intricacy and interdisciplinary style of evolving engineering strategies and clarifications of upgraded security and performances, provides us an authoritative tool to accomplish computer-based data acquisition and virtual instrumentation, which leads to profligate becoming a standard rather than an exemption. The appearance of the industrial Internet of Things (IoT) architype served better platform for increasing the monitoring proficiencies by the usage of virtual and embedded based field sensors. Sensor-produced data can be utilized to envisage adverse situations when it deviates from the normal operating functions which enable operators to resolve and act proactively. Hence this paper points out the importance of IoT for an oil pipeline system with diverse monitoring condition as a pragmatic aspect in the transportation and also it emphasizes the framework outline for a smart oil field system with its necessity and its advance feature incorporated using the Internet of Things (IoT).

Comparison of BPN, RBFN and wavelet neural network in induction motor modelling for speed estimation

Abstract: This paper discusses the question of estimating a neural network induction motor speed. The neural network is trained in the relationship between stator currents and rotor speed. Rotor currents and...