rifaasyari Goto Github PK

-4g-5g-multiple-antenna-for-future-multimode-smartphone-application-in-cst

-hfss-api-for-vortex-metasurface-generation

a simple MATLAB HFSS API for vortex metasurface generation

-radar_emitter_simulation

Radar emitter signal simulation using MATLAB

1-16_rf_pwr_div

1 to 16 Radio Frequency Power Divider. Platform: OrCAD Capture and Allegro PCB by Cadence Design Systems.

100-days-of-ml-code

100 Days of ML Coding

16xx-mmw

Detection of senseless human body based on millimeter wave radar

2.4ghz-slotted-waveguide-antenna

A 2.4 GHz 180 degree slotted waveguide antenna, originally designed for outdoor 802.11b wireless (back in 2001)

2018-metamaterialmechanismsoptimization

4ch-rf-fe

4-channel RF Front End design

4dflowpwvtool

a Matlab-based 4D flow MRI tool for measuring pulse wave velocity in the aorta

4f-optical-correlator-simulation

A Matlab simulation for a 4F Correlator system which is based on the Fourier transforming properties of lenses.

4x1_array_26ghz_cdf

From the result of the measurement of a 4x1 array antenna design in my other resposity, I analysed the beamforming capapility of the array in the presence of human finger.

5g-carrier-aggregation

A demo of wireless carrier aggregation

5g-flexible-transceiver-for-physical-layer-evaluation

5g-microstrip-antenna

Introduced by the fifth generation of GSM technology, and defined microstrip patch antenna, starting from this definition in different ways and frequency features able to meet the requirements of the mobile communication device is intended to microstrip patch antenna design. Designed with microstrip patch antennas 5G ROGERS 5880 S11, VSWR, graphs of parameters such as gain were compared. This project is design with CST STUDIO SUITE programme, as the dielectric material ROGERS 5880 Copper and copper layer (anneabled) is used and impedance is determined for each frequency range for the antenna is normalized to 50Ω. Design changed articles under consideration was made of the improved simulation. This application allows 24 GHz frequency of H-Type and 29 GHz frequency of Patch and 32 GHz frequency of Aperture antenna designs have been described with CST STUDIO SUITE program their images. Which made antenna are expressed and reported in a graphical representation.

5g-wireless-network

5g_crc

5g CRC

5g_testbed_antenna

This is repo for Antenna design for 5G testbed project

5gneralife

5G Simulator

5gnrmatlabsim

a-millimeter-wave-triple-band-siw-antenna-with-dual-sense-circular-polarization

A single-feed millimeter-wave (mmWave) tripleband substrate integrated waveguide (SIW) antenna with dual-sense circular polarization (CP) etched on a single substrate is proposed. A SIW cavity operating in TM210 mode is carved with a circular slot to realize upper band radiation. A circular patch is placed in the circular slot for lower band radiation. Middle band radiation is achieved by the coupling between the SIW cavity and circular patch. By introducing asymmetry on both circular slot and circular patch, CP is obtained at the upper and lower band respectively. The polarization states of the three bands are right-hand circular polarization (RHCP), linear polarization (LP) and left-hand circular polarization (LHCP). Three pairs of vias are introduced in SIW transmission line to realize good impedance matching for the three bands. Two antenna prototypes are fabricated and their performances are evaluated. Simulated and measured results agree very well. Small frequency ratios are achieved and each band can be adjusted flexibly. Moreover, the proposed mmWave triple-band CP antenna has simple structure and low-profile, which make it easy to be applied in future mmWave wireless communication systems.

a-novel-2d-omp-algorithm-for-sparse-recovery-of-fmcw-radar

A Novel 2D-OMP algorithm for sparse recovery of FMCW Radar

a-novel-pilot-decontamination-scheme-for-massive-mimo-systems

We have proposed a novel pilot decontamination scheme which combines the two existing schemes: SPRS and WGC-PD scheme.

aco_ofdm_ce_syn_paper

actem

Analytical and Computational Techniques in Electromagnetics

active-sense-deep-learning-on-smartphone-sensors-to-early-diagnose-of-diabetes

Nowadays, Smartphone with various extraordinary and notable sensors makes new invigorating open entryways for Data Mining and Machine Learning; other than makes another exploration field for Human Activity Recognition a.k.a. HAR. The HAR system has been applied to many areas, such as, step counting, health monitoring, abnormal activity recognition and so forth. Diagnosis of diseases is one of the unvisited applications which are up 'til now neglected application domains for HAR. It has been found that, physical activity is endorsed by physicians to patients suffering from Non-Insulin Dependent Diabetes Mellitus a.k.a. NIDDM, owing to the fact that it enhances susceptibility of insulin. Thus, the HAR system may allow the early diagnosis issue of Diabetes. That being so, activities entitled as walking, walking upstairs, walking downstairs, jogging and cycling which are associated to cardiovascular endurance, activities named drinking, eating, using toilet in order to record the log regarding of urination, activities such as fallen down facilitates the identification of physical weakness and activities such as genital itching, sitting, standing and lying enhances the facilitation regarding the identification of symptoms associated with diabetes type-2 or NIDDM, were subject matter to recognize. In the process of our work, we gathered sensors data from 10 subjects with an Android application, which was developed by us, to facilitate the Long Short-Term Memory a.k.a. LSTM to recognize entitled activities along with irrelevant activities to ensure the robustness of our system and we achieved utmost 98.4818% accuracy on test dataset. To know about how much time a diabetic patient spends in performing entitled symptomatic activities, we went to Chattogram Diabetic General Hospital and collected data from 97 diabetic patients. After collecting data from diabetic patients, we developed another Android application to collect sensors’ data from experimental subject in continuous manner. Thus, the data being gathered from the experimental subject performed over the most recent thirty days, we processed these data into pre-trained LSTM model and recognized the activities by prediction. In this way, we figured the mean time spent in executing of every activity from our experimental subject’s predicted activity log. We utilized this mean duration of performing symptomatic activities to obtained similarity qualities characterizing the similarity of our experimental subject with the diabetic symptoms from 97 patients. The similarity measure of 57.3916199% put the experimental subject into the class of moderate risk factor. As far as similarity measure, we have seen that our procedure of discovering the risk factor really shown higher performance.

active_bandpass_filter

A CMOS bandpass filter inspired by "A Fully Integrated CMOS Active Bandpass Filter for Multiband RF Front-Ends"

activity-classification-using-ultra-wide-band-radar

ad5933-arduino-bioimpedance

Arduino code for a bioimpedance or bioelectrical impedance analysis (BIA) system for body composition analysis using the AD5933.

adapting-the-wavenet-deep-learning-model-for-radar-classification

An investigation into radar classification. This project adapts the WaveNet deep learning model to classify radar data directly from the range profiles representation. This technique is compared with the leading approach in the literature of creating micro-Doppler spectrogram images from the data and classifying these images using a CNN.