iosr-JECE   Volume-17 ~ Issue-1 ~ Jan. - Feb. 2022

Abstract: RECTENNA as the name implies is a rectifying antenna, which is a special type of receiving antenna that is used for harvesting electromagnetic energy into direct current (DC). The major problems of other Rectenna is the inability to harvest much electromagnetic energy in order to produce an amazing DC voltage output. However, this Research work is focused on designing and testing of an antenna rectifier circuit (RECTENNA) optimized for incoming signals and to improve the electromagnetic energy to direct current (DC) conversion rate. This research work seeks to improve energy harvesting from 2.4 GHz to 10 GHz with a corresponding DC output voltage of 0.85v to 2.4 v respectively.......

Keywords: Rectenna; Antenna; Radio Frequency (RF); IOT; RF Harvester

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Abstract: Artificial Intelligence is being used in medical field for various applications like disease diagnosis. One specific application of this using ANN and ANFIS in medical disease diagnosis is the analysis of brain MRI with the aid of image segmentation technique. Image segmentation is a field of digital image processing in which an image is splitted in various parts using one of available techniques such as edge detection or cluster dependent area. In this paper brain MRI Image is segmented using image segmentation method and it is converted in frequency domain using DWT operation then after applying morphological operation and watershed operation an image is compared with a set of images showing various diseases using artificial intelligence and hence disease is diagnosed .The simulation results are enhanced to somewhat 94% using AI technique.

Keywords: Segmentation, Artificial Intelligence, Morphological Operation, Watershed Transform, Alzheimer Disease.

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Abstract: Cognitive radio (CR) is a trend setting innovation fully intent on using the spectrum groups which are unused in an astute and dynamic manner. The portions of range or spectrum groups which are not utilized, are classified "range openings (spectrum holes)" or "blank areas (white space)". Process of range or spectrum allocation is for minimizing any possibility of interference between secondary and primary users. But CR technology faces various challenges because of the varying nature of the range available, and also the different quality of service requirements of various services. So in this work we introduce a cognitive user emulation attack (CUEA) in a cognitive radio network (CRN), which can be exploited by intruders during spectrum handoff. Then, we propose an enhanced spectrum handoff security mechanism.......

Keywords: Cognitive Radio Network, Spectrum Handoff Security, Fuzzy Logic, Data Delivery Ratio and Liveness, Probability of Error, Throughput rate, Transmission Delay..

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