Semnan University PressJournal of Modeling and Simulation in Electrical and Electronics Engineering2821-07864220240801Effect of Geometrical Parameters of H-Plane Conductive Diaphragm on the Behavior of a Rectangular Waveguide17952310.22075/mseee.2025.35829.1186ENMohsenKalantariDepartment of Electrical Engineering, Faculty of Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran.Journal Article20241109In this paper, the modal analysis is used to study the behavior of a rectangular waveguide loaded with a transversely thin conductive discontinuity. To this end, a function must be made according to the geometry of discontinuity. This function is utilized instead of applying boundary conditions on the plane where the discontinuity is. This equation includes all the necessary boundary conditions simultaneously. The scattering parameters of the structure are related to the coefficients of the Fourier series of the newly defined function. Then, the return loss and insertion loss of different structures are investigated while the geometrical parameters of discontinuity take different values. The behavior of structures can be explained by how dense the coefficients of the Fourier series are. The simulation results show that the error of this technique is less than 2%. This analysis can enable designers to understand how the geometrical parameters of discontinuity affect the scattering parameters for an H-plane inductive diaphragm.https://mseee.semnan.ac.ir/article_9523_4f2ce5b1fbc17d9917f099be4d7e21e4.pdfSemnan University PressJournal of Modeling and Simulation in Electrical and Electronics Engineering2821-07864220240801Stress Estimation Using Biological Signals: A Simple and Efficient Method917946210.22075/mseee.2025.34498.1165ENAliMalekiBiomedical Engineering Department, Semnan University, Semnan, Iran.MortezaNooriDepartment of Biotechnology, Faculty of New Science and Technologies, Semnan University, Semnan, Iran.Journal Article20240619Stress is the physiological and psychological response of the body to external or internal pressures that the brain perceives as a threat, affecting both physical and mental performance. Low stress levels can enhance performance, but high stress levels can cause psychological and bodily harm. One effective method for estimating stress is mapping the features of biological signals to quantitative values for stress. In recent years, efforts have been made to continuously detect stress using biological signals and applying complex methods to estimate stress. This article introduces a simple and effective method for estimating stress. The existence of a monotonic increasing relationship between stress and biological signal features is an assumption of this study. Accordingly, EMG and ECG signals recorded under stressful conditions were preprocessed. Then, features were extracted and normalized from each time window. Subsequently, by calculating the 2-norm of the features and applying a scaling factor based on the individual's relative heart rate, a continuous value termed estimated stress was obtained. The qualitative evaluation of the results with self-reported values and stress levels at different stages of the experiment confirms the effectiveness of this method. The simplicity, understandability, and low computational cost are characteristics of the proposed method. The proposed method can be implemented in low-cost gadgets and can transfer stress estimation from the laboratory to daily life.https://mseee.semnan.ac.ir/article_9462_a38624df5979ba3a5646f8df7e5a85a3.pdfSemnan University PressJournal of Modeling and Simulation in Electrical and Electronics Engineering2821-07864220240801Tunneling FET With Embedded P+ Pocket as a High Sensitivity Biosensor for Label-Free Detection1925954410.22075/mseee.2025.36592.1196ENMiladAzarkerdarElectrical Engineering Department, Energy Faculty, Kermanshah University of Technology, Kermanshah, Iran.AliNaderiElectrical Engineering Department, Engineering Faculty, Imam Khomeini International University, Qazvin, Iran.Journal Article20250117In this paper, an efficient structure for tunneling field effect transistors (TFETs) with P<sup>+</sup> pocket is proposed for label-free detection of biomolecules. This structure includes a double gate TFET with P<sup>+</sup>P<sup>-</sup>N<sup>+</sup> doping profile for source, channel, and drain regions and an embedded P<sup>+</sup> pocket in the channel to control the band-to-band tunneling (BTBT). The biomolecules are captured in the cavity region and affect the band bending. The capacitive behavior of biomolecules causes further band bending where their dielectric constant is increased. The presence of P<sup>+</sup> pocket at the source side of TFET causes more changes in the capacitive behavior and in current and consequently increases the sensitivity. For the detection of the biomolecule with K=4, the proposed structure shows more than 60% improvement in sensitivity. It enhances the sensitivity for all investigated dielectric constants, where the enhancement is more considerable for biomolecules with higher dielectric constants. For more evaluation, the biosensor is assessed in different widths and impurity densities of P<sup>+</sup> region. It demonstrates that the proposed structure can efficiently tolerate the variations in physical dimension and impurity concentration while it maintains higher sensitivities.
https://mseee.semnan.ac.ir/article_9544_55bdff3ad592c6e59a90dfb67aa037c7.pdfSemnan University PressJournal of Modeling and Simulation in Electrical and Electronics Engineering2821-07864220240801Applying Deep Generative Methods to Generate Synthetic Data in Power Systems2732946310.22075/mseee.2025.34488.1164ENMohsenKariman MajdElectrical and Computer Engineering Faculty, Semnan University, Semnan, Iran.MohsenNiasatiElectrical and Computer Engineering Faculty, Semnan University, Semnan, Iran.Journal Article20240618The lack of access to reliable databases, as well as the small number and imbalance of databases, is one of the main limitations of using machine learning methods in power systems, which can reduce efficiency and cause distrust in the results obtained from these methods. One of the solutions used to solve this problem is the use of Synthetic data generation. Two deep generative architectures, Generative Adversarial Network (GAN) and Variational Auto Encoder (VAE), are currently used to generate synthetic data. Due to the novelty and importance of the subject, until now, a comparative study has not been done on the research conducted in this field, in terms of subject classification, with an emphasis on validation methods of synthetic production databases. The purpose of this research is to review the studies done in this field up to now and examine the research trends for the future. In this regard, after introducing the principles of GAN and VAE deep architectures, the subject of synthetic data generation using the mentioned methods in power systems has been studied comparatively.https://mseee.semnan.ac.ir/article_9463_4669441571db1c561f19d1e710df1bbb.pdfSemnan University PressJournal of Modeling and Simulation in Electrical and Electronics Engineering2821-07864220240801Anti-Eavesdropping and Anti-Jamming Link with SPP Horn Antenna Based on Orbital Angular Momentum3341946110.22075/mseee.2025.34381.1163ENAmirHabibi DaronkolaFaculty of Electrical and Computer Engineering, Semnan University, Semnan, Iran.FarzadTavakkol HamedaniFaculty of Electrical and Computer Engineering, Semnan University, Semnan, Iran.PejmanRezaeiFaculty of Electrical and Computer Engineering, Semnan University, Semnan, Iran.Journal Article20240608This paper presents the design and development of a horn antenna with a spiral phase plate (SPP) for generating and utilizing orbital angular momentum (OAM) waves to enhance the security and capacity of communication links. OAM waves, with their unique properties such as increased spectral efficiency and channel capacity, as well as inherent resistance to eavesdropping and intentional jamming, have emerged as a novel and effective approach in telecommunications. In this research, three simulation scenarios at a frequency of 2.4 GHz are explored to evaluate the performance and security of OAM-based communication links. These scenarios include conventional and OAM-based links, with a specific focus on the second scenario where a jammer is positioned in the worst-case scenario—directly in front of the receiver antenna—to maximize the potential for link disruption. The simulation results demonstrate that by precisely tuning the parameters of the SPP, different OAM modes can be generated, which significantly hinder unauthorized access and signal degradation in communication links. Even under these challenging conditions, the proposed design achieved up to a 23.45 dB reduction in jammer signal strength, highlighting its robustness in enhancing link security and performance. This study not only shows that OAM-based links can boost the capacity and security of communication in 5G and 6G networks but also provides practical solutions for addressing security and interference challenges in modern communication systems.https://mseee.semnan.ac.ir/article_9461_37f0e5be74fcc0187d16112fa170e963.pdfSemnan University PressJournal of Modeling and Simulation in Electrical and Electronics Engineering2821-07864220240801Designing a Robust Memory State Feedback Controller Leveraging LMI on DC Motor Under Time Delays and Norm-Bounded Disturbances4355956810.22075/mseee.2025.36095.1191ENNimaMalekiDepartment of Electrical Engineering, Yadegar-e-Imam Khomeini (RAH) Shahre Rey Branch, Islamic Azad University, Tehran, Iran.ElaheMoradiDepartment of Electrical Engineering, Yadegar -e- Imam Khomeini (RAH) Shahre Rey Branch, Islamic Azad University, Tehran, Iran.Journal Article20241129This paper investigates the performance of a predictor-based H_∞controller applied to a first-order DC motor system under significant input-time delays. Alongside the proposed predictor-based H_∞ controller, an LQR controller has been implemented to serve as a benchmark for effectively comparing and evaluating the performance of the proposed method. This study specifically focuses on scenarios involving time delays exceeding one second and external disturbances such as constant, sinusoidal, and stochastic disruptions. The proposed controller employs a robust memory-state feedback mechanism to ensure closed-loop stability and minimize the impact of disturbances. Using Linear Matrix Inequality (LMI) conditions, the controller compensates for input delays of up to five seconds while guaranteeing disturbance attenuation. A delay-dependent Lyapunov stability analysis is conducted to validate the proposed approach. Comprehensive simulation results and evaluations based on key performance metrics, such as settling time and overshoot, indicate that the predictor-based H_∞ controller outperforms both the open-loop configuration and the LQR controller. Notably, the proposed approach achieves a reduced overshoot, a faster transient response, and superior disturbance attenuation compared to the LQR method. Furthermore, this controller significantly enhances the overall system robustness and control precision in scenarios with prolonged delays. The predictor-based H_∞ controller suggests an innovative solution for mitigating the effects of long input delays in DC motor systems, thereby overcoming a pivotal challenge in robust control.https://mseee.semnan.ac.ir/article_9568_cf250de06fb088e5ca8732ac125c1d8e.pdfSemnan University PressJournal of Modeling and Simulation in Electrical and Electronics Engineering2821-07864220240801Feasibility Study of Technical and Economic Aspects for the Construction of a 1.1 MWp Photovoltaic Power Plant in a District of Tehran5766957710.22075/mseee.2025.36451.1195ENMohammad-RezaNickpayTehran Regional Electric Company, Tehran, Iran.RoohallahAmirabadifarahaniTehran Regional Electric Company, Tehran, Iran.KarimGoudarzikiaTehran Regional Electric Company, Tehran, Iran.Journal Article20250108Considering the existing issues of electricity shortages in Iran and the problems caused by air pollution due to the use of fossil fuels, designing a solar power plant with a capacity of 1.1 MWp in the Sa'adat Abad district of Tehran using PVsyst software could be an appropriate solution for providing sustainable and clean energy. Photovoltaic power plants, as renewable energy sources, harness sunlight to generate electrical energy, the use of which can help reduce dependence on fossil fuels and improve air quality. Especially in a city like Tehran, which faces air pollution and traffic problems, the utilization of clean energy can have significant positive effects on public health and the environment. Furthermore, given the growing energy demand in Iran, establishing power plants with suitable capacities, particularly solar ones, can help meet the increasing energy needs of the country while also alleviating the burden on electricity distribution networks during peak consumption hours. Ultimately, the use of solar energy not only contributes to enhancing the country's energy security but also paves the way for sustainable development and improved quality of life in urban areas.
https://mseee.semnan.ac.ir/article_9577_6f49aa1db1d157be8f832949694fbab1.pdf