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Iranian Journal of Electrical and Electronic Engineering
Scopus
ISSN 1735-2827 · Iran University of Science and Technology · 824 artikel di indeks
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Open EMS Based Design of a CSRR Bandpass Filter for 5G: An Accessible Simulation Approach
Bandpass filters (BPFs) are critical components in 5G radio-frequency front-end systems, where wide bandwidth, low insertion loss, and compact size are simultaneously required. In this paper, a metamaterial-inspired wideband BPF based on Complementary Split Ring Resonators (CSRRs) loaded with a…
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Power-Gated Memristor-Based Optimized PIPO Shift Register
Memristors are a viable future semiconductor memory substitute because of its nanoscale size, quick switching, low power consumption, and CMOS compatibility. CMOS flip-flops face drawbacks like large size, high power use, and charge loss at smaller scales. However, memristors provide a novel…
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Improving Voltage Stability using Static Synchronous Compensator: A Contingency Assessment of Nigeria Transmission Network
Analyzing power systems for network planning and operation requires a thorough understanding of network parameters to evaluate system performance. Effective monitoring and management depend on power flow analysis and contingency assessment. This paper examines an electric power system with a focus…
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Grid Restoration Optimization Under Dynamic Circuit Breaker Failures: A Structural Importance-Based Repair Prioritization Framework Modeling
This article proposes an innovative framework for enhancing resilience in power grid restoration that integrates dynamic breaker failure modeling with structural topology analysis. Unlike conventional approaches focusing solely on breaker health metrics, our method introduces a novel Structural…
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Noise Covariance Matrix Estimation in Target Tracking in Three Approaches: n-step Prediction, Kalman Gain Covariance and Gamma-distribution of Noise Statistics
Noise parameters in many target tracking projects are assumed as known factors which is a main challenge because of uncertainty in measurement and state-model noise. Thus, many papers are focused on the accurate estimation of noise statistics. This paper is concentrated on this subject where it is…
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An Improved Procedure for Analysis of Distribution Networks Under Direct and Indirect Lightning Discharges
This study investigates overvoltages transmitted through low-voltage (LV) networks, which pose a significant risk to sensitive electronic devices. High-frequency component models of the LV network are employed to analyze overvoltages propagating through LV distribution transformers. To efficiently…
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Enhancing Signal Quality in Long-Haul Optical Networks: Techniques for Amplification, Dispersion, and Nonlinear Impairment
Long-haul optical communication systems face challenges from nonlinear impairments, chromatic dispersion, and signal attenuation, which can degrade performance over long distances. To address these limitations and enhance transmission quality, this study introduces a 64-channel DenseWavelength…
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An Integrated Threat Model: Quantum Machine Learning Attacks on Satellite Communications and a Multi-Layered Defense Framework
Satellite communications are the invisible backbone of our connected world, supporting everything from daily internet access to critical military missions. Yet, beneath their importance lies a hidden vulnerability: the physical layer remains exposed to increasingly sophisticated cyber threats. In…
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Analysis of A Novel Quasi-Reflectionless Microstrip Bandpass Filter Using A New Simple Approach
This paper proposes a new one-cell single-port microstrip bandpass filter (BPF) named the main cell, which consists of a band-pass section connected with one band-stop section at the input port. Considering the main cell, this paper provides a new two-cell two-port BPF with quasi-reflectionless…
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An Anti-spoofing Algorithm using a Kalman Filter based ARAIM Algorithm
The Receiver Autonomous Integrity Monitoring (RAIM) method uses additional information to detect and remove spoofing signals by analyzing pseudo-range measurements. Therefore, assuming that spoofing signals are errors for the valid signal, RAIM can be a practical method that does not impose…
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Structural Connectivity of Brain Regions May Predict Human Intelligence
The discovery of relationships between brain connectivity and human intelligence is of great interest. In this study, we identify structural connections correlated with human intelligence and investigate the predictability of intelligence from brain structural connectivity. The study uses data from…
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Reducing False Alarms in Fire Detection Systems with YOLOv11 and Multi-Sensor Validation
Fires in indoor spaces such as residential and office buildings pose significant threats to human lives and property, causing substantial damage each year. Early and accurate fire detection plays a critical role in mitigating these risks and ensuring timely responses. However, conventional methods…
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Design and Analysis of a Minkowski Fractal Slot-Integrated UWB Antipodal Vivaldi Antenna for Brain Stroke Detection
This article presents the design and optimization of a Minkowski fractal slot-integrated antipodal Vivaldi antenna (MFS-AVA) for brain stroke detection. The antenna is proposed on a 65 × 65 × 1.6 mm³ FR-4 substrate and integrates a tapered slot radiator with a microstrip feed. Key parameters are…
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A Combination of Adaptive Neuro-Fuzzy Inference System and Neural Network for Mobile Robot Dynamic Obstacle Avoidance
A mobile robot must be autonomous to avoid obstacles while traveling towards the target. Dynamic obstacle avoidance remains a significant challenge in mobile robotics. Although reactive navigation strategies have been applied to address this problem, relying on the single-stage module often results…
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Contemplation of QCA based Cryptographic Nano Communication Circuit using Multilayer Approach
CMOS technology, after contributing a lot to electronics world, is now facing difficulties in designing of more efficient circuits in terms of compactness, power efficiency and speed. It is happening due to various side effects being generated on account of further down scaling of feature size. The…
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An Experimental Analysis of the Latency of Linux Kernels Applicable for Real-Time Control Strategies
Real-time control applications, crucial in robotics, industrial automation, and medical devices, demand precise and predictable timing for reliable operation. This paper presents an experimental investigation into the latency performance of various Linux kernels, including standard Linux, a…
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Active distribution system state estimation based on metaheuristic algorithms in the presence of distributed generations
The increasing penetration of distributed generation (DG) significantly complicates Distribution System State Estimation (DSSE) by introducing stochasticity and uncertainty. This paper proposes a novel DSSE framework that unlike conventional methods simultaneously estimates the system state, load…
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Physics-Informed Neural Network-Assisted Compact Modeling of UTB-SOI and Nanowire MOSFETs for Ultra-Low Power Edge-AI Applications
Physics-informed neural networks (PINNs) offer a promising route to bridge device-level simulations and compact circuit models. In this work, we present a hybrid modeling framework that integrates TCAD datasets with a baseline compact model and applies a PINN correction to capture stress-condition…
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Integrating GPS, GLONASS, BeiDou, and Galileo Receivers to Overcome Signal Blocking Challenges
Blocking interference poses significant challenges to the accuracy and reliability of navigation systems by obstructing the communication path. Single-frequency receivers are generally more susceptible to blocking interference due to their limited ability to compensate for obstructed signals or…
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Deep learning for Robust EEG Signal Forecasting using Long Short Term Memory Neural Network
Signal forecasting in the medical field has many applications, such as signal correction and anomaly detection. According to this application, robust forecasting is required to obtain a signal identical to the original signal. This study proposes a forecasting technique that obtains a robust signal…