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J–V characteristics of dark current in truncated conical quantum dot infrared photodetectors (QDIPs)
Quantum Dot Infrared Photodetector (QDIP) is one of the promising candidates for infrared photodetection due to its controllable heterojunction bandgap and sensitivity to normal incident radiation. It is expected to be superior to infrared photodetectors of mature technologies such as Mercury Cadmium Telluride (HgCdTe) or a quantum well infrared photodetector. In the presented paper, we have developed a theoretical model for the dark current in truncated conical QDIP as the truncated conical shaped QD structure is more appropriate to describe the fabricated dots. The dark current model is
Analysis and Guidelines for Different Designs of Pseudo Random Number Generators
The design of an efficient Pseudo Random Number Generator (PRNG) with good randomness properties is an important research topic because it is a core component in many applications. Based on an extensive study of most PRNGs in the past few decades, this paper categorizes six distinct design scenarios under two primary groups: non-chaotic and chaotic generators. The non-chaotic group comprises Linear Feedback Shift Registers (LFSR) with S-Boxes, primitive roots, and elliptic curves, whereas the chaotic group encompasses discrete, continuous, and fractional-order chaotic generators. This paper
Optimization of Double fractional-order Image Enhancement System
Image enhancement is a vital process that serves as a tool for improving the quality of a lot of real-life applications. Fractional calculus can be utilized in enhancing images using fractional order kernels, adding more controllability to the system, due to the flexible choice of the fractional order parameter, which adds extra degrees of freedom. The proposed system merges two fractional order kernels which helps in image enhancement techniques, and the contribution of this work is based on the study of how to optimize this process. The optimization of the two fractional kernels was done
A Robust Deep Learning Detection Approach for Retinopathy of Prematurity
Retinal retinopathy of prematurity (ROP), an abnormal blood vessel formation, can occur in a baby who was born early or with a low birth weight. It is one of the primary causes of newborn blindness globally. Early detection of ROP is critical for slowing and stopping the progression of ROP-related vision impairment which leads to blindness. ROP is a relatively unknown condition, even among medical professionals. Due to this, the dataset for ROP is infrequently accessible and typically extremely unbalanced in terms of the ratio of negative to positive images and the ratio of each stage of it
IOT-based air quality monitoring system for agriculture
Air quality assessment has been discussed for urban environments with a high degree of industrialization, as they are infested with hazardous chemicals and airborne pollutants. The assessment is carried out by monitoring stations, that basically support limited areas while leaving large geographical areas uncovered. The expansion in the agriculture sector directed us towards air quality assessment on the farms. This is because research has shown that crops can be injured when exposed to high concentrations of various air pollutants, while also affecting farmers' health states. But those air
CPW-Fed Bow-Tie Antenna for Ambient RF Energy Harvesting Applications
This paper presents a high-efficiency bow-tie antenna for ambient RF energy harvesting at the 2.4 GHz band. Moreover, a rectifier circuit that converts the AC into DC is proposed. The antenna is fed via a CPW transmission line where a quarter wavelength transformer is inserted to match the slot bow-tie with the 50-ohm transmission line. The structure is simulated using CST software, and results are validated using HFSS. The antenna's directivity, efficiency, and bandwidth are 6.63 dBi, 89.9 %, and 0.946 GHz respectively, as simulated using CST. The antenna is fabricated on a single-layer
Threshold Energy Based LEACH-K Effect on the Accessibility of Wireless Sensor Networks
This paper aims to deliver an exhaustive investigation on the threshold energy parameter's direct impact on the Cluster Head (CH) selection phase in Low-Energy Adaptive Clustering Hierarchy Based on K-Means (LEACH-K) protocols. The most prominent threshold energy selection criterion out of the scarcely available research on the LEACH-K threshold energy parameter is used to simulate the LEACH-K protocol. Simulations are carried out on scaled-up Wireless Sensor Networks (WSNs) in terms of size and number of nodes. An analysis is performed on the life-cycle of the CH selection process, which
Optimal fractional-order PI with DC-DC converter and PV system
This paper presents a design and analysis for the PV system with a DC-DC boost converter controlled by the Fractional Order PI controller (FOPI). The study includes obtaining the optimal parameters for the PV model and the operating parameters for the FOPI controller. The first part's objective function is to search a five-parameter model based on the data-sheet given by commercial PV modules for a single-diode (SD) model. In the second part of the study, a detailed comparison is executed versus P, PI, PID, and FOPI controllers showing the effect of implementing Fractional order controllers on
α -order universal filter realization based on single input multi-output differential voltage current conveyor
Two voltage-mode topologies single input multi-output universal fractional filters with high input impedance are proposed. The proposed analog filters consist of three DVCC+ blocks, two grounded capacitors and two resistors targeting the minimum passive elements. The proposed topologies provide a realization for all standard fractional filter functions (HP, LP, BP, AP and notch filter). The effect of Fractional order on filter responses in the range of α from 0.7 to 1.2 was studied. Fractional order has been investigated for different filter responses in terms of cutoff, gain, phase and noise
A Stochastic Modeling of the Gain in Waveguide Avalanche Photodetectors (WG-APDs)
Waveguide photodetectors are considered as a promising candidate for high speed photodetection where the tradeoff between the transit time bandwidth and the quantum efficiency is overcome as the incident optical signal and the photogenerated carriers move in perpendicular directions. In WG-Avalanche Photodetectors (WG-APDs), the avalanche multiplication gain enhances the photocurrent of the photodiodes. In these photodiodes, the inaccuracies in the ionizations coefficients of the photogenerated electrons and holes and in the dimensions of the multiplication layer affect the multiplication gain
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