Nazmus Sakib

A quasi-elliptic low pass filter based on complementary split ring resonator with sharp selectivity and wide stopband

This Paper illustrates the low pass filter (LPF) topology based on complementary split ring resonator (CSRR) with added slot. The introduction of a slot structure in the CSRR can not only reduce the group velocity of the transmission but also decrease the inductive reactance which results in compactness of the device by providing the transmission zero after resonance. Therefore, quasi-elliptic function and extension of the rejection band has been established. In other words, this LPF exhibits significant improvement on rejection bandwidth, selectivity and return loss (RL) in the passband. Besides, with electrical length for the ring is o.11Xg (single cell), the device characterizes by pointing out the capability of the approach with rejection levels of 13-dB over 50% of the stopband and selectivity of about 142 dB/GHz. The group delay is within 0.20 ns over 75% of frequency of interest. Well agreement between theoretical and simulated data are accomplished.

Chebyshev quarter wavelength wideband bandstop filter based on dumbbell annular ring resonator

In this letter, a novel seventh order equal ripple wideband bandstop filter (BSF) is proposed and demonstrated. This device is based on dumbbell annular ring (DAR) resonators which introduces additional magnetic coupling with quarter wavelength open circuited stubs in the conventional 50-Ω transmission line. However, introducing this DAR resonators (DARRs) generate multiple transmission zeros which is responsible for wider stop band and can be determined from the S-plane. Moreover, the proposed BSF has selectivity up to 170 dB/GHz, rejection level is better than 50-dB, suppress reflection up to 12-dB in the pass band and fractional bandwidth 113.1%. Besides, the group delay is within 3 ns over the 80% of the stop band. The simulated frequency performances of the device from two different softwares are in well agreement with the theoretical data.

A novel quasi-lumped UWB high pass filter with multiple transmission zeros

In this letter, a compact sixth order microstrip Chebyshev short circuited stubs high pass filter (HPF) via hole grounding is proposed. It is fundamentally based on quasi-lumped short circuited stubs of an optimum commensurate line band pass filter, which widen the bandwidth of the device. Furthermore, the resonant frequency and return loss performance can be improved by multiple transmission zeros, generated because of via hole grounding. Moreover, the proposed high pass filter (HPF) has wide bandwidth up to 10 GHz which satisfies the UWB spectrum, rejection level is better than 18-dB with multiple deep transmission zeros. Besides, the group delay is 1.5 ns over the 97% of the passband. Moreover, the simulated frequency responses under different via hole dimension from two softwares are in good agreement with the theoretical response.

A novel process to extract important information from invisible video captured by smartphone

Hemoglobin (HB) is an important protein molecule in blood. Traditionally, hemoglobin level measurement is accomplished through invasive way [1] in clinics. But, non-invasive techniques are becoming more popular nowadays, though its accuracy is not up to the mark. The conventional invasive approaches need the blood sample from the patient which is quite inappropriate always for premature infants, aging population, sickle cell patients, anemia patients, and pregnant women. To solve the HB measurement issues, we have chosen the smartphone, an essential tool in mHealth technology due to its multi-faceted aspects [2]. Many researchers used the high-end spectrometer, hyperspectral camera, and optical devices for hemoglobin level measurement noninvasively, those devices are not available and expensive. To overcome expense and mobility issues, in this poster, we propose a smartphone-based non-invasive HB measurement tool where we capture the video image HSV values with three channels at 30 frames per second. Based on the capabilities of smartphones, this research output can make the remarkable change in resource-limited countries.

Bild (big image in less dimension): A novel technique for image feature selection to apply partial least square algorithm

Current smartphone camera can capture high-definition (HD) video. It is hard to process a lot of video frames for a conventional personal computer due to the high-resolution image. High configured computer can extract the color pixel information from this type of video image, though it takes unreasonable time. For this reason, we proposed a novel way to record the image pixel information in a histogram as the feature of a video image. Each image frame is converted into red, green and blue (RGB), as well as hue saturation and value (HSV) color space. Using the features from RGB and HSV color space.