Online ISSN: 2515-8260

Author : Jeevitha, K.

Aperture Coupled Technique Using Triangular Shape Patch Antenna for Integration into Different Wearable Textile Substrates

V. Ramkumar; S. Mahaboob Basha; T. Suresh; A. Iyswariya; K. Jeevitha; V.Praveen kumar

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 4, Pages 1361-1369

The rapid development in wireless communication devices is increasing in day to day life, with the advancement of wearable antenna and electronics in civil, medical, sportswear and mainly in medical domains to replace wired communication systems in the near future in which antennas play an important goal. At present scenario, there is a greatest interest in antenna to merge between wearable systems. In this paper a different feeding technique called aperture coupled feeding technique has been implemented with three different substrates like cotton, jean and fleece fabric. The new coupling technique helps to improve the overall performance of textile antenna and among the three substrates cotton achieves maximum efficiency. The designed antenna operates in the frequency of 2.4 – 5.8 GHz of ISM band applications. From this analyzed result the textile antenna is highly efficient, fully flexible, can be easily wearable and it is easily integrated into garments


K. Jeevitha; A. Iyswariya; V. RamKumar; S. Mahaboob Basha; V. Praveen Kumar

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 4, Pages 1342-1348

Due to the advancement of computer technology image-processing techniques have become increasingly important in a wide variety of applications. Image segmentation plays a important role in image processing. Image segmentation refers to partition of an image into different regions that are similar and different in some characteristics like color, intensity or texture. Different algorithms and techniques have been developed for image segmentation. This paper investigates and compiles some of the technologies used for image segmentation. The various segmentation techniques like Edge Detection, Threshold, Region based, Feature Based Clustering and Neural Network Image Segmentation were discussed in this paper