• Expanded U-Net Model for Road Extraction from Satellite Images 

  Pahlevani, Mahdi؛ Pahlevan, Fatemeh Zahra؛ Rastgoo, Razieh (Semnan University, 2024-11-01)

  Reliable extraction of information from aerial images is a challenging issue with many practical applications. One of the specific challenges within this problem is the automatic detection of roads. Due to the presence of ...

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• Modeling and Design of a Single Donor/Acceptor Molecule Photodetector Based on Orbital Resonance Using the DFT+NEGF Method 

  Danaie, Mohamad؛ Malek, Majid (Semnan University, 2024-11-01)

  In this study, we present a photodetector based on molecular donor/acceptor (D/A) interactions utilizing orbital resonance (OR). The device operates by detecting light through interactions between donor and acceptor ...

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• SRGAN Enhancement through Autoencoder-Pretrained U-Net with Residual Blocks for Improved Image Super-Resolution 

  Rouhbakhshmeghrazi, Amirreza؛ Li, Bo؛ Nalbandian, Shayan؛ Song, Chao؛ Alizadeh, Ghazal؛ Hassannezhad, Mohammad Reza (Semnan University, 2024-11-01)

  Super-resolution is a crucial task in image processing, enhancing the resolution of low-quality images for applications such as surveillance, remote sensing, and autonomous systems. Traditional methods often struggle to ...

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• An Overview of Harmonic Analysis and Filter Selection for an Industrial Plant 

  Ahmadnezhad, Behnam؛ Izadfar, Hamid Reza (Semnan University, 2024-11-01)

  This paper presents a harmonic analysis and the design and selection of harmonic filters for a hybrid cooling tower at a refinery plant. This study can be extended to any industrial plant with numerous variable speed drives ...

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• Feasibility Study of Technical and Economic Aspects for the Construction of a 1.1 MWp Photovoltaic Power Plant in a District of Tehran 

  Nickpay, Mohammad-Reza؛ Amirabadifarahani, Roohallah؛ Goudarzikia, Karim (Semnan University, 2024-08-01)

  Considering 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 ...

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• Designing a Robust Memory State Feedback Controller Leveraging LMI on DC Motor Under Time Delays and Norm-Bounded Disturbances 

  Maleki, Nima؛ Moradi, Elahe (Semnan University, 2024-08-01)

  This 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 ...

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• Anti-Eavesdropping and Anti-Jamming Link with SPP Horn Antenna Based on Orbital Angular Momentum 

  Habibi daronkola, Amir؛ Tavakkol Hamedani, Farzad؛ Rezaei, Pejman (Semnan University, 2024-08-01)

  This 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. ...

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• Applying Deep Generative Methods to Generate Synthetic Data in Power Systems 

  Kariman Majd, Mohsen؛ Niasati, Mohsen (Semnan University, 2024-08-01)

  The 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 ...

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• Tunneling FET With Embedded P+ Pocket as a High Sensitivity Biosensor for Label-Free Detection 

  Azarkerdar, Milad؛ Naderi, Ali (Semnan University, 2024-08-01)

  In this paper, an efficient structure for tunneling field effect transistors (TFETs) with P+ pocket is proposed for label-free detection of biomolecules. This structure includes a double gate TFET with P+P-N+ doping profile ...

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• Stress Estimation Using Biological Signals: A Simple and Efficient Method 

  Maleki, Ali؛ Noori, Morteza (Semnan University, 2024-08-01)

  Stress 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 ...

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• Effect of Geometrical Parameters of H-Plane Conductive Diaphragm on the Behavior of a Rectangular Waveguide 

  Kalantari, Mohsen (Semnan University, 2024-08-01)

  In 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 ...

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• Design and Simulating an X-Band Light Weight Phase Array Antenna with Integrated Phase Shifter 

  Shahkhah, Mohammadreza؛ Beiranvand, Nima (Semnan University, 2024-05-01)

  The advancement of technology has significantly increased the importance of defense systems that can scan and identify attacking targets. These systems rely on phased array antennas to achieve their functionality. The beam ...

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• A Novel Video Super-Resolution Enhancement Method Based on Residual Learning Using Hidden Markov Random Fields and a New Deep Learning Network Architecture 

  Mahdizadeh, Mahnaz؛ Khazaei, Ali؛ Seyyed Mahdavi Chabok, Seyyed Javad؛ Khatib, Farzan (Semnan University, 2024-05-01)

  In today's world, improving the quality and clarity of videos has become increasingly important, particularly in the fields of surveillance, medicine, and imaging technologies. Traditional super-resolution methods primarily ...

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• Wide Band THz Transmitarray Antenna Based on Graphene Slotted Lattice 

  Ghaderi, Mahdieh؛ Rezaei, Pejman (Semnan University, 2024-05-01)

  A novel terahertz (THz) Transmitarray antenna using an identically shaped slotted graphene lattice with wide bandwidth, is presented in this paper. The transmissive surface consists of graphene frequency selective surfaces ...

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• Electrical Load Forecasting Using a Hybrid Large Margin Nearest Neighbor Method 

  Ashoorzadeh, Alieh؛ Toloie Eshlaghy, Abbas؛ Afshar Kazemi, Mohammad Ali (Semnan University, 2024-05-01)

  Load forecasting is a key component of electric utility operations and planning. Because of today's highly developed electricity markets and rapidly growing power systems, load forecasting is becoming an essential part of ...

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• Application of Data Mining and Machine Learning Techniques to Predict Loan Approval and Payment Time 

  khoshkhoy Nilash, Ehsan Allah؛ Esmaeilpour, Mansour؛ Bayat, Behrooz؛ Isfandyari Moghaddam, Alireza؛ Hassannayebi, Erfan (Semnan University, 2024-05-01)

  One of the most important issues regarding banks is knowing the customers, their behaviors, and the decisions these institutions make regarding customers' preferences. Their main task is to provide banking facilities. Bank ...

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• Calculation of Rotor Bars Current in Squirrel Cage Induction Motor Under Unbalanced and Harmonic Voltage Conditions Using Multiple-Coupled Circuits 

  Shadfar, Hamed؛ Izadfar, Hamid Reza (Semnan University, 2024-05-01)

  Unbalanced and harmonic voltages are important issues in the power quality field. These factors can have destructive effects on induction motors (IMs and can lead to problems such as high temperature, increased losses, ...

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• Cluster Synchronization for Discrete-Time Zero-Sum Graphical Games with Unknown Constrained-Input Systems 

  Jahan, Zahra؛ Dideban, Abbas؛ Abdollahi, Farzaneh (Semnan University, 2024-05-01)

  This paper addresses the synchronization issue of agents with their respective leaders in each cluster for unknown discrete-time zero-sum graphical games with constrained input. To solve the coupled Hamilton-Jacobi-Isaacs ...

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• Increase Power Grid Stability Using Dual-Excited Synchronous Generator 

  Akram, Alireza؛ Yaghobi, Hamid (Semnan University, 2024-02-01)

  Transient stability in interconnected power systems remains a pivotal concern for operators, particularly amidst the ever-expanding and intricate nature of modern power grids. This study delves into a novel approach to ...

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• Handling the Impact of Uncertainties on Predicting the Quality Aspects of Doogh 

  Amini Hoshiar, Mohammad؛ Jafarian, Sara؛ Rezaian, Ramezan؛ Sharifi Soltani, Mahdi (Semnan University, 2024-02-01)

  Support Vector Machines (SVMs) are a valuable tool in the food industry due to their ability to handle complex, nonlinear relationships between variables, even with limited datasets, high-dimensional data, and noisy data. ...

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