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211 articles for “computational modeling”
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Artificial Intelligence for the Art and Science of Separation: Optimizing Chemical Systems
Abstract: Chemical separation processes play a critical role across chemical manufacturing, energy production, pharmaceuticals, and environmental remediation, yet they remain among the most energy-intensive operations in modern industry. Recent advancements in artificial intelligence (AI) offer transformative opportunities to significantly improve the efficiency, selectivity, and sustainability of these systems by leveraging computational power and data-driven insight. This article reviews the emerging integration of machine learning, data-driven modeling, and advanced optimization algorithms with …
Published in International Journal of Chemical Separation Technology · Vol. 11, Issue 2, 2025 · pp. 1–7 Read article
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Simulation of Biomethane Steam Reforming Plant for Hydrogen Production using Aspen Hysys
Abstract: Aspen Hysys simulation of a process plant for hydrogen production from biomethane through steam reforming process was considered in this work. Models for reactor designs were developed using the principles of conservation of mass and energy. The kinetic model for the biomethane steam reforming process was developed from first principle using the Eley-Rideal mechanistic approach. Computer software (Aspen Hysys) was adopted for the design and for the simulation of the …
Published in International Journal of Chemical Engineering and Processing · Vol. 7, Issue 2, 2021 · pp. 10–20 Read article
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Hybrid Pi-Fuzzy speed controller for interior permanent magnet Synchronous Motor
Abstract: Interior Permanent Magnet Synchronous Motors (IPMSM’s) are used for fast torque response and for better performance of the machine. IPMSM's are used in low and mid power applications such as computer peripheral equipments, robotics, adjustable speed drives and electric vehicles and in servo applications. In this paper, a simulation model has been developed for speed control and improvement in the performance of a closed loop vector controlled IPMSM drive which …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 3, Issue 1, 2017 · pp. 37–53 Read article
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Network Intrusion Detection Using Wireshark and Machine Learning
Abstract: The growth of networked devices has highlighted the desire for advanced intrusion detection (IDS) tools to protect digital systems from evolving cyber threats. Traditional IDS systems are often difficult to adapt to the threat environment because they rely on predefined signature lists. This study presents a new approach that combines Wireshark, a widely used network packet analysis tool, with advanced machine learning for intrusion detection. Our system leverages Wireshark's data …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 10, Issue 1, 2024 · pp. 23–31 Read article
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A review on Identification of Block Feature Through Step
Abstract: One of the major challenges in the implementation of CIM, which is anticipatedto meet the needs of the present manufacturing industry in terms of completeautomation of its operations, is the combination of CAD package and CAM system viaCAPP. To achieve complete automation, product data created throughout the designand modelling process and saved in the database of CAD packages (systems) shouldflow directly to CAPP and from CAPP to CAM for seamless …
Published in International Journal of Computer Aided Manufacturing · Vol. 8, Issue 1, 2022 · pp. 15–20 Read article
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Hybrid Cryptographic Framework for Cloud Data Security: Integration of AES-OTP, RSA, and Temporal Access Control Mechanisms
Abstract: This generation of cloud computing has characterized the Internet of Things with exponentially increasing data generation, processing, and storage. Regrettably, however, accompanying this trend of growth is the increased concern for cloud-based systems about security, privacy, and control of access to data. The proposed work introduces a hybrid cryptographic framework that combines AES, OTP, and RSA encryption methods with temporal mechanisms to enhance the security of data in the cloud. …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 10, Issue 2, 2024 · pp. 1–6 Read article
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SMART SURVEILLANCE: AI-DRIVEN DRIVER DROWSINESS DETECTION SYSTEM
Abstract: In this study, a real-time application for driver drowsiness detection based on machine learning and deep learning is developed. Accidents, including traffic accidents, are now a frequent cause of fatalities and injuries among people. One of the major contributing factors to traffic accidents and a significant threat to road safety is drowsy driving. As a result, there are more people dying and getting hurt every year. Serious traffic accidents have …
Published in International Journal of Computer Aided Manufacturing · Vol. 9, Issue 1, 2023 · pp. 29–35 Read article
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An Optimum Stringer for Straight and Curved Stiffened Panels Using X-FEM Techniques
Abstract: In this study, crack growth, modeling and simulation of various stiffened stringers, unstiffened straight and curved cracked panels are presented using commercially available finite element software package. Computation of stresses and convergence of stress intensity factor for single-edge notch specimens computed using finite element method (FEM) and extended finite element method (X-FEM) and compared with analytical solution. X-FEM techniques like cohesive segment method and linear elastic fracture mechanics, using virtual …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 4, Issue 2, 2018 · pp. 1–11 Read article
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Developments of Photonic Ferroelectric Ceramic Compose
Abstract: This article is a study of imposed interposed crystal allotropic modification underexposure of electricity. Ferroelectric photonic ceramic powder and films are usual studied in preparation from adoptive transduction in the same crystal based on electrical gradient. Ferroelectric ceramics and thin films used to be processed by the sol-gel method, where empirical variables of interest have been their chemical composition, constituent phases, and microstructure. Functional attributes made metal oxide compose like …
Published in International Journal of Composite Materials and Matrices · Vol. 7, Issue 1, 2021 · pp. 37–44 Read article
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Free Vibration Analysis of Laminated Composite Plate with Various Boundary Condition Using FEM
Abstract: The vibration analysis of laminated composite plates is analyzed using finite element method. A suitable finite element model is proposed and developed based on first order shear deformation theory using ANSYS parametric design language (APDL) code. The model has been developed using an appropriate eight node isoparametric element (SHELL281) from the ANSYS element library. In this paper Numerical results have been computed for the effect of material properties, thickness ratio …
Published in International Journal of Composite Materials and Matrices · Vol. 2, Issue 1, 2016 · pp. 1–7 Read article
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Predictive Evaluation of Erema Community Groundwater in Egi for the Purpose of Agricultural Use
Abstract: The investigation in this research is to study the developed sodium absorption ratio model for predicting and monitoring SAR concentration of Erema community groundwater by Ukpaka, 2016 given as, SAR = – + with coefficient of determination of that is modified in this research as + = 0 which is now the modified differential equation of sodium absorption ratio for Erema community it fitness in assessing SAR concentration. Validation of …
Published in International Journal of Water Resources Engineering · Vol. 3, Issue 2, 2017 · pp. 91–96 Read article
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Enhancing Facial Expression Analysis Using CNNs: Insights from ML and Deep Learning Comparisons
Abstract: Emotion recognition from facial manifestations increases the interaction between humans and computers by enabling the interaction between humans and computers to effectively explain human feelings. This study presents a comparative analysis of three approaches to the emotional recognition of faces: a custom Convolutional Neural Network (CNN) model, Traditional Machine Learning (ML) methods, and other deep learning architectures such as VGG, ResNet, and Hybrid CNN–RNN models. The proposed CNN-based system, developed …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 1, 2026 · pp. 23–31 Read article
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Advanced Diabetic Retinopathy Detection Using Deep Learning Classifiers
Abstract: Diabetic Retinopathy (DR) is an eye condition that arises from diabetes-related complications, making early detection essential for effective treatment. As diabetes advances, an individual’s vision may deteriorate, potentially resulting in diabetic retinopathy. This condition is divided into two primary types: Non-Proliferative Diabetic Retinopathy (NPDR) and Proliferative Diabetic Retinopathy (PDR). Early treatment to maintain a strategic distance from a change less visual impedance is basic as it may save diabetic retinopathy …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 1, 2025 · pp. 26–33 Read article
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SOFT COMPUTING A NEW USE OF SOFT COMPUTING, ARTIFICIAL INTELLIGENCE, FUZZY LOGIC & GENETIC ALGO-RITHM IN BIOINFORMATICS
Abstract: Abstract:Soft registering is make a few dormant in bioinformatics, particularly by producing minimal effort, low exactness (rough), great arrangements. Bioinformatics is an interdisciplinary research zone that is the edge between the natural and computational sciences. Bioinformatics settlement with calculations, databases and data frameworks, web innovations, man-made reasoning and delicate registering, data and calculation hypothesis, basic science, programming building, information mining, picture preparing, demonstrating and recreation, discrete arithmetic, control and framework …
Published in International Journal of Analog Integrated Circuits · Vol. 6, Issue 1, 2020 · pp. 12–26 Read article
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Parametric Analysis of Ribbed Channels for Gas Turbine Engines
Abstract: This work uses experimental data to validate a ribbed surface that is computationally examined interior passageway of a static blade on a turbine. to replicate an illustration from a released publication while researching the Computational Fluid Dynamic conjugated heat transmission. The turbulence simulation matched the most closely. Publicly available physical practical results were found by working on Ansys Workbench. Convective heat exchange efficiencies additionally to stress profiles utilizing those computationally …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 9, Issue 2, 2023 · pp. 28–34 Read article
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Automated Image Captioning Using Xception–CNN and LSTM for Descriptive Sentence Generation
Abstract: Generating descriptive texts for images is a complex and challenging task that requires advanced deep learning techniques. This paper presents a descriptive sentence generator for images using a combination of convolutional neural networks and recurrent neural networks. The proposed model utilizes a pretrained convolutional neural network, Xception, to extract image features, which are then processed by a long short-term memory network to generate meaningful textual descriptions. The model is trained …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 2, 2025 · pp. 20–28 Read article
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Soft Computing Based Prediction of Ultimate Bearing Capacity of Footings Resting on Rock Masses
Abstract: The present study attempts to predict the ultimate bearing capacity of shallow foundations on rock masses using five different soft computing techniques namely i) random forest regression approach, ii) artificial neural networks, iii) support vector machine with polykernel, iv) support vector machine with (radial basis function) RBF kernel and v) M5P model tree. The ultimate bearing capacity was assumed to be dependent rock mass rating, unconfined compressive strength of rock, …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 5, Issue 2, 2019 · pp. 1–14 Read article
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Optimization and Control of Evaporative Separation Processes
Abstract: Evaporative separation processes are widely used in various industries, including chemical manufacturing, petroleum refining, and food and beverage processing, to separate components based on their vapor pressures. These processes involve the use of equipment such as distillation columns, evaporators, and membrane-based systems, and are critical for ensuring product quality and process efficiency. However, the complexity of evaporative separation processes and the inherent variability in feedstock composition and quality make it …
Published in International Journal of Chemical Separation Technology · Vol. 8, Issue 2, 2022 · pp. 27–31 Read article
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Numerical investigation of hydrodynamics of batch crystallizer
Abstract: In this work, hydrodynamics in a draft tubebatch crystallizer is analysed computationally using Computational fluid dynamics (CFD). The CFD simulations are performed using multiple reference frame (MRF) with sliding mesh approach in transient condition for flow time of 5s using the standard k-ε turbulence model. The flow-field in batch crystallizer is quantified by calculating time averaged velocity profiles along the horizontal line and by analysing the temporal variation of liquid …
Published in International Journal of Chemical Engineering and Processing · Vol. 3, Issue 1, 2017 · pp. 24–35 Read article
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A Review of Video Compression Technique of an Efficient Rate-Distortion
Abstract: The digital video compression technology has been gaining popularity for many years. Today, when people enjoy HDTV (high-definition television), movie broadcasting through the Internet, or the digital music, such as MP3, the convenience that the digital video industry brings to us cannot be forgotten. All of these should attribute to the advances in compression technology, enhancement on mass storage media, or streaming video/audio services. Most rate-distortion optimized division way of …
Published in International Journal of Digital Communication and Analog Signals · Vol. 4, Issue 2, 2018 · pp. 1–8 Read article