Majlesi Journal of Telecommunication Devices
Volume:10 Issue: 1, Mar 2021

Breast cancer is the most commoncancer of women in the globe. Microwave imaging has low power and longer wavelength signals to receive information about breast tissues and guarantees a safer and more accurate modality for regular breast control. So, the antenna is a crucial element in the microwave imaging system. This study involves analysis ofthe simulation results of the linear and planar microstrip array antennas in terms of high gain. In the series antenna design stage, the antenna models with high gain and directional radiation are aimed. 1x4 and 2x2 array antenna models are prepared with PLA/Carboninsulating material. Array antennas, three-dimensional full-wave electromagnetic structure analysis aredesigned using the CST(Computer Simulation Technology) Microwave Studioprogram.In the design phase, the transmission line losses of the array antennas aretried to be optimized by using T-junction and Wilkinson power divider techniques and impedance matching isrealized. Also, the redundant areas in the turns areremoved to minimizethe undesirable reflections in the transmission line and to reduce the capacitive loading.Since the 1x4 array antenna performs better than the 2x2 array antenna, it was preferred for breast cancer simulation.

Thedepth image plays an increasingly importantrole in fundamental research and daily applications, with the reducing the price and increasing the number of affordable and portable depth cameras.Infrared sensors or depthsensors are widely used to control dynamic and static 3D scenes. However, thedepth imagequality is limited to low-quality images, as the infrared sensor doesnothavehigh resolution. Therefore, given the problems and the importance of using 3-D images, the quality of these images should be improved in order to provide accurate images from depthcameras. In this paper a resolution enhancement method ofdepthimages using convolutional neural networks is considered. A convolutional neural network with a depth of 20 and three layers and a pre-trained neural network is used. We developed the system and tested its performance for two datasets, Middlebury and EURECOM Kinect Face. Results showforEURECOM Kinect Face images, PSNR improvement isapproximately7to 16dB and for Middlebury images the PSNR improvement is about 6to 12dB.

In this paper, a new structure of Voltage Control Oscillator (VCO) to reduce the phase noise using two plans of a variable voltage capacitor is proposed. The aim of the current paper is to analyse two structure of a completely integrated 3.7 GHz LC-VCO based on TSMC 0.18 um technology. In the first plan for different voltages with variable voltage capacitors in this circuit can be achieved to a suitable phase noise of about 125 dB per Hz and in the second plan, a noise of -123 dB per Hz is achieved in the deviation frequency of 1 MHz. Also, the Figure of Merit (FOM) values for the first plan of -4/186 and for the second plan of –4/184 are achieved and the power consumption is 10 mW

Electrical discharges are the key mechanism to the generation of atmospheric pressure plasmas which arefurther classified as equilibrium and non-equilibrium plasmas, also referred to as thermal and non-thermal plasmas. Thetechnological advancement ofnon-thermal plasma has extended its potential clinical non-invasive applications in a multitude of disciplines such as dermatology, ophthalmology and oncology, etc. to bolster tissue generation, refraction error correction and necrosis of the cancerous cells in the domain of plasma medicine, respectively. A fundamental on the various types of discharges and their mechanism is investigated. A perspective on the application of non-thermal plasmasin the domains such as sterilization and disinfectionispresented in this review. We have focused on theplasma therapeutics andits significance as a clean and dry therapy to treat superficial skin diseases via the mechanism of proliferation of basal skin cells and prothrombin stimulation to cauterize the bloodthrough Argon Plasma generated by Argon Plasma Coagulator. We propose to fabricate atmospheric pressure plasmadevicesand understanding of the associated plasma radicals that aids in the activation of biochemical and biomolecular reactions to treat the cutaneousand sub-cutaneous diseases.

Software-Defined Networking(SDN) is a growing network technology that has brought significant benefits to a wide range of disciplines,from science to technology to various fields. This structure can be used in network-based environments, data centers and various research sites. OpenFlowis one of the most widely used protocols for interaction between a controller and a switch in a Software-Defined Networking. Understanding the performance and limitations of the network defined by open source software, including bottlenecks and security vulnerabilities due to the centralized network structure, areimportant prerequisitesfor the efficientdeployment ofthesesystems. Thesepoints of view led researchers to examine various related mathematical models to addresstheseissues. Queueing theory provides the most important and accurate model for evaluating the performance of the SDN networks affected by these restrictions, which has attracted the attention of researchers recently. Regarding to extensive mathematical modeling, this theory has also been used to improve network efficiency. Researchers have used this theory to investigate operational power and improve time consumption and control of data planes due to the nature of classification and storage of packets in SDN buffers. These methods overcomecontroller performance bottlenecks and increase SDN control capacity, especially forlarge distributed networks. In this paper, we examine the queueing models for different applications in different layers of SDN, in which researchers use these methods to monitor network loads,evaluateand predict performance changes due to diversityin network traffic. We introduce and review a collection of articles that explore, different applications of Queueing theory in SDNnetworks. In addition, in order to increase the efficiency of this research, detailed comparisons are performed in terms of structure, mathematical models and the final simulation results.

VANETs are oneofthe important technologiesin recent decade. This importance is evident which can be used in road and mountains trails and also provides other information to vehicle from roads. There are many challenges and problems in this networks which can cited as routing, clustering, quality of services criteria, energy consumption, RSU placement and etc. This article triesto study and survey about VANET’s clustering methods in roads and mountain trails with high reliability.