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304 articles for “SUI Model”
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HFSS-Based Helix Antenna Design Optimization and Simulation
Abstract: This project uses HFSS (High-Frequency Structure Simulator) to simulate, develop, and analyze the performance of a helix antenna for (a particular purpose, such as broadband wireless or satellite communication). Because of their distinctive structural characteristics, helix antennas are well-suited for a variety of high-frequency applications by balancing compactness, high gain, and wide bandwidth. In this work, we parametrically analyze important design parameters including pitch, radius, number of turns, and wire …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 1, 2025 · pp. 29–35 Read article
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Control of a Grid-Connected Variable Speed Permanent Magnet Synchronous Generator Based Wind Power Generation System
Abstract: Variable speed wind turbines are more efficient compared to their fixed speed counterparts since maximum power is extracted over a wide range of wind speeds. In this work a grid-connected wind power generation system is modeled and implemented in Matlab/Simulink using a permanent magnet synchronous generator. A back to back space vector pulse width modulated voltage source converter converts the variable frequency generator currents and voltages into DC, then back …
Published in Journal of Power Electronics and Power Systems · Vol. 6, Issue 2, 2016 · pp. 8–24 Read article
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Physics-Informed Neural Networks for Multiphysics Analysis of Biomedical Polymer Composite Systems
Abstract: Physics-Informed Neural Networks (PINNs) offer an effective model of solving coupled multiphysics equations in biomedical polymer composite systems, which are data-driven. In the given work, the PINN method is presented where equations of elasticity, mass diffusion, and heat transfer are integrated to model the complex processes that take place in composite biomaterials. The neural network loss is specified to include the governing partial different equations which enables both the system …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Effect of Reinforcement on Bearing Capacity of Sand
Abstract: The reinforced earth concept, which is now being evaluated with increased significant encompasses formation of a composite of a soil with tension resistance reinforcing elements such as metallic and nonmetallic strips, bars, rods fibers or nets in the soil. The objective of using the reinforcement is to supress the normal tensile strains in the soil mass through frictional interaction. Flexible nature of reinforced earth mass enables it to withstand large …
Published in Journal of Geotechnical Engineering · Vol. 1, Issue 3, 2014 · pp. 8–12 Read article
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Chemical Enhanced Oil Recovery Designed for a Local Sudanese Oil Field
Abstract: Chemical enhanced oil recovery (CEOR) is a method for increasing recoverable oil from reservoirs. For the past decade, several successful chemical injection projects have been carried out around the world. The SSA main oil field is a suitable candidate for CEOR methods, according to previous studies in a screening of EOR methods for Sudanese oil fields; the field is good OOIIP 161.18 MMSTB, with only 23 percent produced. The general …
Published in Journal of Petroleum Engineering & Technology · Vol. 12, Issue 1, 2022 · pp. 34–43 Read article
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Performance Analysis of AES Encryption Using LFSR-Based Key Expansion in VLSI
Abstract: Secure data transmission has become increasingly important with the rapid growth of digital communication and embedded systems. Protecting sensitive information from unauthorized access requires reliable cryptographic solutions. Among the available techniques, the Advanced Encryption Standard (AES) is widely recognized for its strong security and efficient implementation in both hardware and software environments. In this work, the design and performance evaluation of an AES-based crypto processor with LFSR-driven key expansion is …
Published in Recent Trends in Electronics Communication Systems · Vol. 13, Issue 1, 2026 · pp. 23–31 Read article
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Machine Learning-Assisted Design and Optimization of Lightweight Polymer Composites for IoT-Enabled Automotive Applications
Abstract: This study aims to develop an integrated machine learning and optimization framework for the intelligent design of lightweight polymer composites suited for IoT-enabled automotive applications. The goal is to enhance material performance while satisfying multiple design constraints such as mechanical strength, thermal stability, and process compatibility. A curated dataset of polymer composite formulations was used to train a Random Forest Regression (RFR) model capable of predicting tensile strength, thermal conductivity, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 12–27 Read article
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Harnessing Marine Byproducts and Optimization of Biopolymer Extraction Quality Using Response Surface Methodology and Study of Its Physicochemical Properties
Abstract: Chitosan, a versatile biopolymer derived from chitin, holds immense potential across various industries owing to its antimicrobial, antioxidant, and biocompatible properties. This study aims to optimize the deacetylation process of chitin, sourced from shrimp shells, using Response Surface Methodology (RSM) to produce high-quality chitosan. The Box-Behnken Design (BBD) was employed to evaluate the effects of temperature, time, and alkali concentration on the degree of deacetylation (DD%), a key determinant of …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 125–139 Read article
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Finite Element Analysis of Pistons Made of Steel and Al-4032
Abstract: In this paper, stress analysis of pistons made up of two different materials is discussed. The three-dimensional model of the piston is modeled using Pro/Engineer software. The finite element analysis (FEA) is performed in Mechanica module of Pro/Engineer software to analyze the various results and compare the results of stress analysis of piston made up of two different materials. The results can be used to choose the suitable material for …
Published in Journal of Materials & Metallurgical Engineering · Vol. 3, Issue 2, 2013 · pp. 21–25 Read article
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An Efficient Method of Fault Analysis using Artificial Neural Network
Abstract: In the power system, there are many techniques to identify and classify the faults. So, it is utmost important to choose the suitable technique. In this paper, a novel technique based on ANN have been proposed. When abnormal conditions occur in the system, the purposed method identifies and classify the fault to protect the system from the faults and stop from the big hazards. Simulation of purposed Simulink model have …
Published in Current Trends in Signal Processing Read article
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Impact of Adaptive Learning, LMS, and Personalized Skill Development on Industry Recruitment Alignment
Abstract: This paper discusses the impact of adaptive learning on the development of skill and self-learning, and it portrays a methodology framework to design an adaptive learning system that works with industry recruitment objectives. The paper distinguishes different approaches to learning, namely teacher-centric and student-centric, rigid and adaptive, competitive and collaborative, and explains that each learner has their own learning style, preference, and level of knowledge and skill acquisition. The paper …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 12, Issue 1, 2025 Read article
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An Efficient Method of Fault Analysis using Artificial Neural Network
Abstract: In the power system, there are many techniques to identify and classify the faults. So, it is utmost important to choose the suitable technique. In this paper, a novel technique based on ANN have been proposed. When abnormal conditions occur in the system, the purposed method identifies and classify the fault to protect the system from the faults and stop from the big hazards. Simulation of purposed Simulink model have …
Published in Current Trends in Signal Processing · Vol. 11, Issue 1, 2021 · pp. 9–25 Read article
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A Data-Driven Analysis of Machine Learning Classification Models for Reliable Crop Yield Prediction
Abstract: The adoption of ML technologies in agriculture is reshaping farming practices, empowering producers to make informed, data-oriented decisions that improve yields, sustainability, and long-term resilience. In mango cultivation, ML analyzes data from weather, soil, and pests to optimize irrigation, fertilization, and pest control. Predictive analytics help forecast ideal farming practices, minimizing resource wastage and improving yield. Real-time monitoring and image-based disease detection allow timely interventions to maintain plant health and …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 1, 2026 · pp. 12–17 Read article
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Power Estimation Approach for Artix 7 FPGA using Machine Learning Technique
Abstract: Abstract This paper presents the power estimation approach using a suitable machine learning technique. Artix7 FPGA has been chosen as the target FPGA (Field Programmable Gate Arrays) platform for understanding the methodology of power estimation. There are various approaches of power estimation for FPGAs that have been given in the literature viz. probabilistic, statistical, and LUT-based, etc. In the past few years, the demand for hand-handled devices like smartphones, tabs, …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 9, Issue 1, 2021 · pp. 1–5 Read article
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Balance Truncation Method for Order Reduction of Interval System
Abstract: Abstract: Examination of higher order interval system is an attractive area for research. It demands a suitable approach to decrease them to its lower approximation. This paper goes to accomplish the necessity by introducing Balance Truncation technique for reducing the original system. The algorithm may be used for reducing the order of the unstable system and we are fruitfully attaining stable reduced order models. The reduction method is to study …
Published in Recent Trends in Electronics Communication Systems · Vol. 6, Issue 1, 2019 · pp. 1–7 Read article
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AI Powered Fault Detection in DC Motor using STM32
Abstract: This work presents the design and implementation of an embedded artificial intelligence system for real-time fault detection in a direct current (DC) motor using the STM32 Nucleo- F411RE microcontroller. The objective of the study is to develop a low-cost and efficient predictive maintenance solution capable of identifying abnormal motor behavior at an early stage. Vibration and temperature signals are acquired using an MPU6050 sensor and processed directly on the microcontroller …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 1, 2026 · pp. 39–49 Read article
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Using Analytical Network Process to Find Priorities Weights of Contractors Pre-Qualification
Abstract: The chosen of construction contractors were one of the most important activate of owners. Without a right and fitted ways for chosen the most suitable contractors the execution of construction project will be influenced via multi-criteria decisions making (MCDM) was proposed to an applicable way for contractor choice. For finish decisions problems, the analytic network process (ANP) is large recommendation therefore; ANP lets inter-dependent affected specify in the model. researcher …
Published in Journal of Construction Engineering, Technology & Management · Vol. 6, Issue 2, 2016 · pp. 88–93 Read article
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Area and Power Improvement with New Initial Ordering Method Combined with Sift Algorithm for BDD Mapped Circuits
Abstract: Digital circuits are the important elements in almost every electronic design. As the size of electronic ICs are shrinking rapidly, the minimization of the circuit elements and power consumption became more focused area of VLSI research. In this paper, we have introduced a new method for reduction of area and power of binary decision diagram mapped circuits. Binary decision diagrams are used to represent digital functions in VLSI CAD. It …
Published in Journal of VLSI Design Tools and Technology · Vol. 8, Issue 2, 2018 · pp. 67–71 Read article
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SpecForesight: A Predictive Analytics Pipeline for Laptop Price Forecasting
Abstract: This paper frames laptop pricing as a supervised predictive analytics problem, transforming product specifications into feature-rich signals to forecast price with calibrated regression models and operational guardrails against drift. A structured pipeline ingests tabular listings, performs data cleaning, and engineers domain-informed features (e.g., central processing unit (CPU) family and clocks, graphics processing unit (GPU) tiering, memory/storage density, display, and touch capabilities), followed by encoding and normalization to optimize model learnability. …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 · pp. 61–71 Read article
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AquaSential: Autonomous UAV-Based Water Quality Monitoring System
Abstract: The increasing occurrence of waterborne health risks and the presence of harmful microorganisms in freshwater environments highlight the need for rapid and continuous water quality monitoring. Traditional laboratory-based testing methods often require significant time and manual sampling, limiting their ability to provide immediate information about changing environmental conditions. This work presents AquaSential, a low-cost, portable, and UAV-ready water quality monitoring system designed for real-time assessment of freshwater bodies. The proposed …
Published in Recent Trends in Sensor Research & Technology · Vol. 13, Issue 2, 2026 Read article