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1058 articles for “Model optimization”
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Control System Design and Performance Analysis of PID and IMC controllers for Continuous Stirred Tank Reactor (CSTR)
Abstract: The Continuous Stirred Tank Reactors (CSTRs) are one of the most important parts of chemical process industries and sewage treatment plants. They also have various other miscellaneous applications. So, they are very important from industrial point of view, economic point of view and environmental point of view. The CSTRs have complex non-linear dynamic characteristics. In this paper, mathematical model is developed followed by SIMULINK model. The temperature control of the …
Published in Journal of Control & Instrumentation · Vol. 10, Issue 1, 2019 · pp. 16–22 Read article
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Economical Design of Stiffened Plate using FEM
Abstract: This paper presents the economical design of stiffened plate subjected to transverse load. The model of stiffened plate is developed using ANSYS APDL 14.0 for the finite element analysis and design. At first, a convergence study is carried out to arrest the optimum mesh size for discretizing the plate. The maximum deflection of plate with and without stiffeners subjected to point and uniformly distributed load for both fixed and simply …
Published in Journal of Structural Engineering and Management · Vol. 4, Issue 2, 2017 · pp. 50–57 Read article
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Transient Stability Analysis of Power Systems with Static VAR Compensator: A Modeling Perspective
Abstract: Flexible AC Transmission Systems (FACTS) controllers have emerged as a vital tool to overcome the compensation challenges offered by modern power systems. Static Var Compensator (SVC), a type of FACTS controller plays a very important role in enhancing the power system performance, reactive power factor, maintain voltage stability. A thorough review and implementation of SVC with its various configurations is presented in this paper. Performance analyses of SVC and associated …
Published in Trends in Electrical Engineering · Vol. 13, Issue 3, 2023 · pp. 33–47 Read article
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Optimized Machine Learning Framework for Battery State Prediction in Smart Charging Systems
Abstract: Good estimation of battery states, including State-of-Charge (SoC), State-of-Health (SoH), and Remaining Useful Life (RUL), are important in managing energy wisely and controlling the adaptive charging. This work introduces a streamlined machine learning model based on the ability to use multi-dimensional sensor measurements in terms of voltage, current, temperature, and cycle number to forecast battery conditions with high accuracy. Decent preprocessing, such as noise elimination, feature scaling, and calculated features, …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 55–66 Read article
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Designing and Modeling of Giant Magnetoresistance (GMR) Materials based Devices in Electrical Power and Biomedical Systems
Abstract: This paper presents Designing and Modeling of Giant Magnetoresistance (GMR) Devices in Electrical Power and Biomedical Systems and the related materials. The GMR, inverse GMR, and Spin valve using exchange bias have been analytically derived and discussed from the designing point of view for optimizing the performance of the GMR based Devices in Electrical systems. More recently, GMR has been used in sensors, magnetic memory chips, and hard-disk read-heads. The …
Published in Research & Reviews : Journal of Physics · Vol. 14, Issue 1, 2025 · pp. 22–32 Read article
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Development of Fast and Power Efficient Elevator
Abstract: The rapid urbanization and vertical expansion of cities have led to a surge in the construction of high-rise buildings, creating a growing demand for elevator systems that are not only fast but also energy efficient. As population density in metropolitan areas increases, the pressure on vertical transportation systems intensifies, highlighting the need for solutions that can handle high passenger traffic without compromising performance or sustainability. This study presents the development …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 3, Issue 2, 2025 · pp. 32–41 Read article
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A Review on the Interconnection Between Drug Design and Controlled Drug Delivery Systems
Abstract: Drug discovery and delivery are two branches of science that have historically developed as independent areas of discovery – one focused on optimizing the properties of molecules for biological activity, and the other on controlling the rate, site, and duration for drug release. However, in contemporary pharmacy, these two areas have merged into a single integrated approach – where drug discovery and delivery strategies co-influence each other at each point …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 1, 2026 · pp. 47–52 Read article
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Comparative Realization of 2DoF PID Controllers for Flow Process with Measurement Delay
Abstract: Two Degree-of-Freedom (2DoF) PID control techniques presented in this paper were developed based on optimal control theory and with the Anti-Integral Windup (AIW) scheme. The controllers were implemented for a laboratory flow process setup. First Order Process with Dead Time (FOPDT) models had been identified by step testing. The process responses showed a significant non-minimum phase dynamics exhibited for the specific step inputs applied. The measurement delay was considered as …
Published in Journal of Control & Instrumentation · Vol. 6, Issue 1, 2015 · pp. 1–8 Read article
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Investigation on pitting corrosion rate of Micro Plasma Arc Welded Titanium (Ti-6Al-4V) alloy sheets in KBr solution using TOPSIS
Abstract: Titanium is having good anti-corrosion properties in both basic and acidic medium. However, when it is subjected to severer heating processing like welding, there is a possibility of corrosion formation at the weld joint. In the present work Pulsed current MPAW is used for joining 0.5 mm thick Titanium (Ti-6Al-4V) alloy sheets. Peak Current, Base Current, Pulse Rate and Pulse Width are considered as input parameters and fusion zone corrosion …
Published in Journal of Materials & Metallurgical Engineering · Vol. 9, Issue 2, 2019 · pp. 37–53 Read article
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Investigation on the Benefits of Steam Adsorption and Distribution during Cyclic Steam Injection to Improve Oil Recovery - FNE Case Study, Sudan
Abstract: One of the main types of Enhanced Oil Recovery (EOR) methods is thermal stimulation method which is an increasingly common method of extracting heavy oil. there are different forms of the technology of thermal method Cyclic steam stimulation, Steam flooding and In-situ combustion “Fire flooding” are commonly applied to oil reservoirs, which are relatively shallow very viscous oil at the reservoir temperature, the most widely used steam injection methods for …
Published in Journal of Petroleum Engineering & Technology · Vol. 8, Issue 3, 2018 · pp. 1–21 Read article
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An Approach to Image Recognition on the Basis of Plant Diseases Ontology
Abstract: AbstractOntology engineering for the plant science is supposed to contribute on the basis of plants traits that determine phenotypic expression in a given environment. Plants play a very important role in the ecological balance and daily necessities in the life. Due to environmental or other causes many of the plants become damaged and hence the investigation of the plant recognition on the basis of diseases is a major research area …
Published in Journal of Computer Technology & Applications · Vol. 6, Issue 3, 2015 · pp. 1–9 Read article
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Optimization Study by Response Surface Methodology and Artificial Neural Network on the Culture Parameters of Citric Acid Bioproduction from Sweet Potato Peels
Abstract: In the cause of this research work, two steps enzymatic hydrolysis of sweet potato peel was carried out respectively. The effect of α-amylase dose, reaction time, and reaction temperature and biomass weight on glucose concentration was investigated carefully. The response surface methodology (REM) predicted the highest reducing sugar concentration at liquefaction to be 74 g/L, at the following optimized conditions; temperature of 45°C, α-amylase dose 0.7 %v/v, biomass weight 22.345 …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 9, Issue 1, 2022 · pp. 30–38 Read article
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Role of Fluid Engineering in Biomedical and Healthcare Systems: A Comprehensive Review
Abstract: Fluid engineering — the study and application of fluid behavior, transport, and interaction — has become a cornerstone of modern biomedical and healthcare systems. This review synthesizes the multifaceted roles fluid engineering plays across diagnostics, therapeutics, biomedical devices, and physiological modeling. Micro-fluidics enables precise manipulation of microliter and nanoliter volumes, facilitating rapid point-of-care diagnostics, high-throughput screening, and the fabrication of uniform nano particles for targeted drug delivery. In cardiovascular medicine, …
Published in Trends in Mechanical Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 1–5 Read article
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Identification of Papaya Fruit Ripening Process Using AI
Abstract: Identifying the ripening process of papaya fruit using artificial intelligence involves employing machine learning algorithms to analyze various features such as color changes, texture alterations and chemical compositions. This model is capable of analyzing visual cues to determine the stage of ripeness. The dataset compares images of papaya at various ripening stages, and our AI model demonstrated high accuracy in classifying these stages. Employing machine learning algorithms and image processing …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 13, Issue 2, 2024 · pp. 23–30 Read article
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Secure Forge: Deepfake Image Detection Using Vision Transformers
Abstract: Deepfake technologies have become a major risk to the credibility and trustworthiness of digital visual information. Using powerful generative models like GANs and autoencoders, deepfakes can generate highly realistic fake videos and images, resulting in misinformation, identity theft, and public loss of trust in digital media. Classic Convolutional Neural Networks (CNNs) while being highly effective in initial-stage, deepfake detection tend to be limited by their local receptive fields and dependency …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 32–45 Read article
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Building Scalable Microservices with Micronaut, Kotlin, and AWS DynamoDB: A Comprehensive Architecture Study
Abstract: The evolution of enterprise software has trended steadily toward microservice architectures due to their inherent scalability and resilience advantages over monolithic systems. This research explores a comprehensive implementation approach using Micronaut, an innovative JVM-based framework specifically designed for resource-efficient microservices. The study combines Micronaut with Kotlin programming language and leverages AWS DynamoDB as a scalable NoSQL persistence layer, with Apache Kafka providing event-driven communication capabilities. We explore the critical role …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 2, 2025 · pp. 40–57 Read article
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In Silico Identification of Therapeutic Agents for Dengue Virus by Molecular Docking
Abstract: The dengue virus causes serious health issues and a loss of quality of life. Dengue poses a yearly threat to half of the world’s population. The drugs that are based on allopathy are expensive and also exhibit toxic effects on tissues and biological activities. It is also generally accepted that most pharmacologically active drugs, including those derived from medicinal plants, are isolated from natural sources. The present study is directed …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 13, Issue 2, 2026 · pp. 01–14 Read article
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Predicting oxygen deficit effect on two dimensional Flow transport of pasteurella in eleme stream
Abstract: Pasteurella deposition in Eleme stream was investigated from point sources of waste discharge in different locations, predictive model application were used to monitor the transport process of the contaminant in the stream, the study observed the growth rates from the graphical trend in gradual increase to the optimum level, while that of experimental values experienced similar condition but with rapid increase on few figures, the system observed predominant parameter such …
Published in Recent Trends in Fluid Mechanics · Vol. 8, Issue 1, 2021 · pp. 1–14 Read article
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Experimental and Numerical Assessment of Sustainable Machine Tool Design: A Life Cycle Perspective on Structural Optimization and Energy Performance
Abstract: Machine tools are high-mass, energy-intensive systems with long service lives, contributing significantly to the carbon footprint of manufacturing. Enhancing their sustainability requires integrated structural and energy optimization without compromising functionality, accuracy, or productivity. While sustainable design has been studied broadly, systematic reviews from an experimental and applied mechanics perspective remain limited. This paper reviews sustainable machine tool design through a life cycle lens, emphasizing mechanics-based strategies and assessment methods. Key …
Published in Journal of Experimental & Applied Mechanics · Vol. 17, Issue 2, 2026 · pp. 13–39 Read article
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Optimization of Supply Chain Management Cost Reduction and Delivery Time Improvement
Abstract: Management of the supply chain is vital for every company's success. Businesses can cut expenses and speed up delivery by effectively regulating the flow of goods and services. In this study, we will explore the various strategies and best practices in supply chain management that can help achieve these objectives. We will delve into the importance of efficient sourcing, inventory management, and logistics to streamline operations and optimize the supply …
Published in Journal of Production Research & Management · Vol. 15, Issue 1, 2025 · pp. 15–21 Read article