Semnan University PressJournal of Modeling and Simulation in Electrical and Electronics Engineering2821-07865420251201Design and Validation of a Pressure-Based Insole for the Quantitative Assessment of Gait Abnormalities181024110.22075/mseee.2025.37831.1214ENMaryamFarivarTechnical and Vocational Training Organization, Isfahan, Iran.HadiSoltanizadehElectrical and Computer Engineering Faculty, Semnan University, Semnan, Iran.MohammadZahrayeeShahid Beheshti University, Medical Science, Tehran, Iran.Journal Article20250524This study presents the design and validation of a wearable in-shoe system for real-time monitoring and quantitative analysis of plantar pressure distribution during walking. The system incorporates ten force-sensitive resistor (FSR) sensors strategically placed at key anatomical regions of each foot, enabling high-resolution pressure mapping. Data acquisition and wireless transmission are managed via an ESP32 microcontroller using TCP/IP protocol, with onboard microSD storage for redundancy. A custom graphical user interface (GUI), developed in Delphi, enables live visualization and recording. It also supports signal processing techniques, including dynamic time warping (DTW) for temporal alignment and signal averaging for noise reduction. Experimental trials were conducted on four adult participants (aged 22–45), including one individual with a normal gait and three with abnormal patterns, such as internal rotation, external rotation, and supination. Each participant completed multiple walking trials on a treadmill at a constant speed for a duration of 1 minute under standardized footwear conditions. The results confirmed that the system achieved high accuracy in distinguishing gait abnormalities, validated through quantitative metrics and visual pressure profiles. The proposed system provides a low-cost, portable, and clinically relevant solution for early detection of gait disorders and long-term rehabilitation monitoring. Its modular architecture and real-time performance demonstrate its potential as an effective tool for both clinical and remote rehabilitation monitoring.https://mseee.semnan.ac.ir/article_10241_68b6e0792dbdfaf28a26950ec28ad3c6.pdfSemnan University PressJournal of Modeling and Simulation in Electrical and Electronics Engineering2821-07865420251201A Highly Efficient Nanoscale Demultiplexer Architecture based on Quantum-Dot Cellular Automata9151024210.22075/mseee.2025.37506.1206ENHamidrezaGhaemi PeykaniFaculty of Electrical and Computer Engineering, Semnan University, Semnan, Iran.MortezaDorrigivFaculty of Electrical and Computer Engineering, Semnan University, Semnan, Iran.MohamadDanaieFaculty of Electrical and Computer Engineering, Semnan University, Semnan, Iran.Journal Article20250423This paper presents the design of a demultiplexer (DMUX) structure using Quantum-dot Cellular Automata (QCA) technology. A demultiplexer is a fundamental circuit that receives information from a single input line and routes it to one of several output lines, with the selected output determined by the control inputs. Widely employed in communication systems, demultiplexers enable the transformation of serial data streams into parallel outputs. In this work, an optimized architecture for a 1:2 QCA demultiplexer is proposed, characterized by simplicity, efficiency, and reliability, with the added capability of implementing a wide range of logical functions. Furthermore, a novel 1:4 QCA demultiplexer is developed based on the proposed structure, eliminating the need for coplanar cells or crossover wires. Simulation results confirm the superior performance of the proposed architectures in terms of reduced cell count, area, and latency. Specifically, the 1:2 design requires only 17 QCA cells, occupies 0.01 μm², and exhibits a delay of 0.25 clock cycles, while the 1:4 demultiplexer requires 74 QCA cells, occupies 0.07 μm², and achieves a delay of 3 clock cycles.https://mseee.semnan.ac.ir/article_10242_78f2335e0a634c604b0f7af155bde7c0.pdfSemnan University PressJournal of Modeling and Simulation in Electrical and Electronics Engineering2821-07865420251201Predictive Modeling of NFT Adoption for Enhancing FinTech Applications in Iran’s Banking Sector17241038210.22075/mseee.2025.39256.1230ENAliHaghi NojehdehDepartment of Management, Ha.C., Islamic Azad University, Hamedan, Iran.MansourEsmaeilpourDepartment of Computer Engineering, Ha.C., Islamic Azad University, Hamedan, Iran.0000-0002-2475-518XBehroozBayatDepartment of knowledge and information science, Ha.C., Islamic Azad University, Hamedan, Iran.AlirezaIsfandyari MoghaddamDepartment of knowledge and information science, Ha.C., Islamic Azad University, Hamedan, Iran.Journal Article20251003This research proposes a data-driven modeling framework for the expansion of financial technology (FinTech) in Iran’s banking system through the integration of non-fungible tokens (NFTs). Using a data-mining approach, the study analyzes behavioral data collected from customers of Iranian cryptocurrency exchanges from 2020 to 2025. After preprocessing, the dataset was evaluated with decision trees, Naïve Bayes, neural networks, and rough set algorithms. The results demonstrate that the rough set model achieved the highest predictive accuracy (0.98) in identifying user behavior patterns and the principal factors influencing NFT adoption.<br />From a banking and policy-making perspective, the findings highlight the potential of NFT-enabled FinTech platforms to offer innovative tools for digital asset management, enhance transparency, reduce transaction costs, and promote financial inclusion. At the same time, risks such as regulatory uncertainty, cyber fraud, and price volatility emphasize the urgent need for tailored supervisory and governance frameworks that are suited to Iran’s economic environment.<br />The originality of this study lies in offering a quantitative and simulation-oriented model that bridges theoretical insights with practical applications. By doing so, it provides actionable guidance for the Central Bank of Iran, financial institutions, and regulators to strengthen the digital financial ecosystem and advance the transition toward smart banking.https://mseee.semnan.ac.ir/article_10382_80fde26589d81e5d827a9908eba22a49.pdfSemnan University PressJournal of Modeling and Simulation in Electrical and Electronics Engineering2821-07865420251201Fractional Fuzzy Adaptive Methodology for Fractional-order Non-Affine Nonlinear Systems: Application to Gyroscope25341039210.22075/mseee.2025.38323.1218ENRezaGhasemiDepartment of Electrical Engineering, University of Qom, Qom, Iran.Bita SadatGhazanfarpourDepartment of Electrical Engineering, University of Qom, Qom, Iran.FaridehShahbaziDepartment of Mathematics, University of Qom, Qom, Iran.MahmoodMahmoodiDepartment of Mathematics, University of Qom, Qom, Iran.Journal Article20250713This study employs a fractional fuzzy adaptive methodology to design procedures for fractional-order non-affine nonlinear systems. The significant evolution of fractional-order calculus in science and engineering has made this area one of the most widespread fields, particularly in control engineering. Fractional-order fuzzy adaptive controller (FAC) has involved numerous scientists to improve appropriate controllers for non-affine nonlinear systems because of: 1) reconfigurable framework, the performance of the FAC is superior to that of the fuzzy controllers, 2) using the experts’ data, FAC can apply the expert knowledge in the controller procedure rather than adaptive ones, and 3) enhancement of the controller routine instead of the integer-order one. In addition, this approach can control nominal systems in the presence of both external disturbances and uncertainties. The fractional-order adaptation laws are developed to guarantee the stability of the closed-loop system using a fractional-order Lyapunov approach. Unlike other research that focuses on fractional-order affine nonlinear systems, our approach specifically addresses fractional-order nonaffine nonlinear systems. Finally, the performance of the proposed methodology on chaotic systems, a gyroscope, and an inverted pendulum indicates the capability of the proposed scheme.https://mseee.semnan.ac.ir/article_10392_a8aad2748bd7814cfcf9344d2eda11b0.pdfSemnan University PressJournal of Modeling and Simulation in Electrical and Electronics Engineering2821-07865420251201A Bi-Level Model for Optimal Placement and Sizing of EV Fast Charging Stations Considering Traffic and Power Network Interactions35441039310.22075/mseee.2025.39439.1232ENMohammadAlizadehFaculty of Electrical and Computer Engineering, Imam Khomeini Naval University, Nowshahr, Iran.AliGodarzi AmlashiFaculty of Electrical and Computer Engineering, Imam Khomeini Naval University, Nowshahr, Iran.Journal Article20251027This paper presents a bi-level optimization modelfor the siting and sizing of electric vehicle fast charging stations(FCSs), considering the constraints of the power distributionnetwork. In the presented method, queuing theory and a userequilibrium-based traffic assignment model are used todetermine the size of FCSs. The upper-level problem aims tomaximize the profit of the FCS owner by determining optimallocations and capacities of FCSs. The lower-level problemminimizes the operational cost of the distribution network whileconsidering power flow constraints and EV charging demands.The bi-level model is transformed into a single-levelmathematical program using the Karush-Kuhn-Tucker (KKT)primal-dual optimality conditions of the lower-level problemdue to the linearity of the LL problem. Simulation results on theIEEE 33-bus distribution system and a 25-node transportationnetwork show that two FCSs are optimally installed at buses 25and 32 with 9 and 7 chargers, respectively, yielding a daily profitof approximately $6,147 for the investor. Sensitivity analysisdemonstrates that higher electricity selling prices lead toincreased profitability and expansion of charginginfrastructure, highlighting the effectiveness of the proposedframework in capturing the economic interaction between theDSO and private investors.https://mseee.semnan.ac.ir/article_10393_afc0106f481a989242c2b178ee6fa5b2.pdfSemnan University PressJournal of Modeling and Simulation in Electrical and Electronics Engineering2821-07865420251201High-Fidelity Optical CNOT Gates Enabled by Rydberg-Mediated Phase Control45531039410.22075/mseee.2025.39558.1237ENAliFarmaniDepartment of Nanoelectronics Engineering, Lorestan University, Khoramabad, Iran.AnisOmidniaeiDepartment of Nanoelectronics Engineering, Lorestan University, Khoramabad, Iran.Journal Article20251031 In this paper, we first design a photonic crystal laserchamber based on indium phosphide gallium arsenide and zincoxide quantum dots due to the large energy gap of about 3.37 eVfor laser beam propagation in terahertz applications. ZnO iseasily grown in the form of nanorods, nanowires, and thin filmsand therefore can perform well in confined modes of photoniccrystals. The results are obtained by examining the qualityfactor criteria of the dispersion temperature effect and theconstant radius to lattice ratio to enhance spontaneous emissionfor improving optical pumping. In these materials, the qualityfactors for indium arsenide and aluminum oxide are 227.98 and131.95, respectively, for the hybrid gain medium includinggallium arsenide, aluminum oxide, and zinc oxide. Finally, thephotonic crystal laser beam is driven to quantum logic gatesresulting in angle and rotation changes, and its probabilityfunction for quantum laser application are measured.https://mseee.semnan.ac.ir/article_10394_b3f31bfb0bbccf0aa9c166f67428088f.pdf