Kongu Engineering College

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

A miniaturized planar antenna with defective ground structure for UWB applications

Abstract: Miniaturization of planar antennas is the first intention in antenna design for Ultra-Wideband (UWB) applications in which the surface wave effects reduce the antenna efficiency, gain and limit the bandwidth of microstrip antennas. The ground plane effects are minimized using a Defected Ground Structure (DGS) and multiple slots. A compact antenna size including both ground plane and radiator etched on the printed circuit board is 17mm × 22mm × 1.588mm is proposed. Addition of an asymmetrical strip and cutting slots on the antenna provides an enhancement in operating bandwidth of 2.9 to 11.4GHz for 10 dB return loss and the average radiation efficiency is 88.5% respectively. In particular, the impedance performance of the patch radiator is mainly due to the surface wave currents in the ground plane. The antenna results in an omnidirectional radiation pattern over the operating bandwidth with a gain of 2 dB and VSWR of 1 to 2.

A Research Survey on Microgrid Faults and Protection Approaches

Abstract: The conventional electrical system, production of power is happened in several places also power transmitted into the grid and finally distribution takes place to the individual customers. In conventional powergrid suffers high capital cost, finite reliability, rising greenhouse gases emissions and growing power losses in the transmission line. The power company is choose an interconnecting diverse nonconventional form small generations close to user places, based on their demand also giving smart lever to the power grid. An extensive result, power generation from microgrid is recommended per scientists it could supplies secure, standard and effective supply of source to individuals. Microgrid integration is already available power delivery network forms more intricate to the radial power distribution network. It further lead to magnitude of fault current is vary aggressively based on operation methods (isolated or grid integrated), source, status, also total distributed production of power. In existing protecting control strategies are modelled in radial energy circulation and centralized production of power, it creates available protecting approach is fall in the microgrid. So, effort is carried out to re-examine the fundamental conceptions also importance, problems experienced by microgrid as theme of diverse protection approaches.

A development of knowledge-based inferences system for detection of breast cancer on thermogram images

Abstract: Thermography is considered as the most effective method for the detection of breast cancers. However, it is difficult for radiologists to predict Photomicrograph of Microcalcification clusters. Therefore, we have developed a computerized scheme for predicting early-stage microcalcification clusters in thermogram images. The gray and color channels of a thermogram image are enhanced by Contrast Limited Adaptive Histogram Equalization (CLAHE).Optimal set of features selected by Genetic algorithm are fed as input to Adaptive Neuro-Fuzzy Inference System (ANFIS) for classification of images into normal, suspect and abnormal categories. The method has been evaluated on real time images comprising normal and abnormal images. The performance of the proposed technique is analyzed in terms convergence time. Experimental results shows that the features used are clinically significant for the accurate detection of breast cancer related tumor.

Tracebacking the Spoofed IP Packets in Multi ISP Domains with Secured Communication

Abstract: Internet protocol (IP) packet traceback system identifies the origin of the sequence of IP packets when the source addresses of these packets are spoofed. IP packet traceback is usually performed with the help of routers and gateways. Several approaches have been proposed to trace IP packets to their origin. The packet marking approach enables routers to probabilistically mark packets with partial path information and tries to reconstruct the complete path from the marked packets. In most of these approaches, routers and victims (affected systems) are considerably overloaded for marking the packet and reconstructing the trace path and requires more marked packets. This paper focuses on tracing the approximate source of attack instead of tracing the entire path in multi domain system without computation, by victim and also implementing security for authentication and confidentiality. It is assumed that Internet topology has been grouped as ISP domains

Low Complexity Modified Viterbi Decoder with Convolution Codes for Power Efficient Wireless Communication

Abstract: To attain high quality of service (QoS) with efficient power consumption with minimum delay through Wireless Local Area Network (WLAN) through mesh network is an important research area. But the existing real-time routing system involves multiple hops with time varying mobility channels for fastest data propagation is greatly degraded with power utilization factor through congestion traffic queue. Required allocation and resource management through desired access points plays vital roles in which multiple hops demands delay rates by interconnected data nodes. In order to achieve high throughput with minimum delay the QoS in real-time data communication have to be concentrated by using Viterbi decoder with convolution codes. By undertaking IEEE 802.11 WLAN physical layers afford multiple transmission rates by engaging various modulations and channel coding schemes, major point arises to pinpoint the desired transmission rate to enhance the performance. Because each node exhibits different dynamic characteristics based on the token rings passed from the server to the end links. In order to validate the real-time traffic with power consumption and average delay communication, an improved Viterbi decoder is designed with convolution codes to determine accurate channel estimation based on learning the utilization ration of the needed to execute the current wireless channel optimization. The proposed methodology can attain accurate channel estimation without additional implementation effort and modifications to the current 802.11 standard. And each node is capable to choose the optimized transmission rate, so that the system performance can be improved with very minimum power with high packet transmission ratio with minimum traffic rate to improve QoS. The proposed scheme also offers an appealing combination of the allocation of transmission rate and the current link condition. Based on the basic relationship between them, the proposed decoding scheme maximizes the throughput with periodic learning of channel variation and system status.