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1712 articles for “process model”
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Implementation of Drone Technology to Prepare a Contour Map of Nesave Village
Abstract: Nowadays modern surveying techniques or instruments like DGPS, LiDAR and Drones are widely used as they cover more area in less time for surveying. Such techniques can even be used where visiting survey areas are tough or not possible. Drones are used instead of traditional surveying in a village named Nesave. Drones are used to capture images and process them using specialized software such as Agisoft Metashape Professionals and QGIS …
Published in Journal of Geotechnical Engineering · Vol. 12, Issue 2, 2025 · pp. 1–13 Read article
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Predictive model of wind turbine rotor-blade deflection
Abstract: A simulation process has been developed to predict wind turbine rotor-blade deflection caused by gravity effects. The model is based on the rotor-blade segmentation in finite elements, each one considered as an independent structure. The simulation has been extended to n-elements to make a more precise approach to the real performance. The range of deformation has been determined for a wind turbine rotor-blade analysing the effects of forces that creates …
Published in Journal of Offshore Structure and Technology · Vol. 8, Issue 2, 2021 · pp. 49–63 Read article
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Utilizing Machine Learning to Predict the Dimensional Variation of Shafts Printed using Fused Deposition Modeling
Abstract: With the onset of the fourth industrial paradigm, additive manufacturing techniques are coming to the forefront in mechanical engineering domain. The technological burgeoning of additive manufacturing, particularly 3-D printing, has observed substantial growth in rapid prototyping, functional part manufacturing, and tooling because it has significantly reduced the manufacturing costs and processing time. One of the most commonly used techniques of additive manufacturing is Fused Deposition Modelling (FDM), examining and controlling …
Published in Trends in Mechanical Engineering & Technology · Vol. 11, Issue 2, 2021 · pp. 41–46 Read article
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Design of Experiments of an Effective Thermal Conductivity of Composite Matrix by using Numerical Simulation
Abstract: Effective thermal conductivities of fillers and matrix reinforced composite models are analysed by using Finite Element (FE) simulation. The process parameters of different filler concentrations, filler piece arrangements and thermal conductivity ratio are analysed by Design of Experiment. In this study, simulation based on fully replicable five -factor, five-level central composite design. Regression models are developed to analyze the effects of process parameter. The responses are analyzing the direct and …
Published in Recent Trends in Fluid Mechanics · Vol. 6, Issue 2, 2019 · pp. 1–18 Read article
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Molasses to Ethanol Conversion Processes Overview: Process Simulation of the Beer-Ethanol Distillation
Abstract: The main target of this research is to give an overview of ethanol production and also to investigate the distillation process in a comparative way between the simulation and the lab tests. Different samples at different stages have been measured from the fermentation section to evaluate the ethanol production rate and concentration in each one of the fermenter as well as the PH measurements have been considered over six periods …
Published in Journal of Petroleum Engineering & Technology · Vol. 11, Issue 1, 2021 · pp. 1–16 Read article
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Comparing and Analysis of Various Automated Model for Number Plate Detection
Abstract: In this paper, we analyze the results by comparing different methods to identify the number plate and it is more suitable for detecting the number plate involved in accuracy and image processing than any other model. This paper presents the usage of pictures for physical changes. The page refers to the different advances required to extract content from any picture record and makes a different book document, including information removed …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 9, Issue 2, 2021 · pp. 20–24 Read article
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Sign Language Recognition Using Deep Learning
Abstract: People with hearing/speech disabilities use sign language to communicate their thoughts and feelings, but non-disabled people often find it hard to comprehend these hand gestures since they do not know sign language. This project aims to create a system that uses MediaPipe, LSTM and Keras for sign language recognition. The webcam will capture video footage of people performing sign language gestures, then MediaPipe will extract and identify the hand landmarks …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 10, Issue 2, 2023 · pp. 35–43 Read article
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Participatory Risk Management Model for Construction Projects Using Expert Systems
Abstract: Construction involves processing of numerous interdependent risks. But risk management in the sector is still largely intuitive and mere system compliance. Meticulous efforts towards a system-based approach is lacking. These lapses emphasized the need for developing an easy to use participatory model for risk management at construction project sites. A model that would not only enhance the effectiveness of the risk management process but also generate essential knowledge that can …
Published in Journal of Construction Engineering, Technology & Management · Vol. 6, Issue 2, 2016 · pp. 17–24 Read article
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Parametric Study of Laser Drilling Process Using Multi Variable Regression Analysis
Abstract: The laser drilling process is an advanced manufacturing technique extensively employed for intricate and high-value components in aerospace, automotive, and electronics industries. Laser drilling technology offers opportunities to meet the contemporary demands of industries using a broad spectrum of engineering materials. However, this process encounters several engineering challenges such as thermal damage, dimensional inaccuracies, and the formation of a recast layer in the drilled components. This study focuses on examining …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1000–1015 Read article
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Committing to Green, Brushing by Green Standardization
Abstract: Normal 0 false false false EN-GB X-NONE X-NONE The Environmental management is a rigorous exercise involving continual practicing of ideal quality. Towards planning and improvement, be it processes, systems, or works. With intuition one can work one’s way through complicated maps, making them simple, provided ‘ideal’ objectives are holistically chased. This paper showed a way as to how using the Quality Management System (QMS) per ISO 9001: 2008 standard greening …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 3, Issue 3, 2013 · pp. 1–14 Read article
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Transcript Summarizer of YouTube Videos Using Deep Learning
Abstract: Transcriber Sum is a deep learning-based YouTube transcript summarization tool. It employs advanced machine learning techniques to automatically generate concise summaries of YouTube video transcripts, enabling users to quickly grasp the key content and insights of videos without the need to watch or read the entire transcript. This Transcriber Sum addresses the challenge of providing users with concise and informative summaries of video content by harnessing the power of deep …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 3, 2024 · pp. 119–126 Read article
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SIMULATION OF COLD DIE COMPACTION ALUMINA POWDER
Abstract: Compaction process was analyzed mathematically by predicting a steady-state mathematical model in order to give more description and understanding for the mechanism of this process. Numerical investigation has been carried out on axisymmetric cylindrical parts using the finite difference method with relaxation technique to examine the physical significance of constitutive model to produce the pressure gradients during compaction. The pressure distribution model is then typically coupled with empirical functions relating …
Published in Trends in Mechanical Engineering & Technology · Vol. 1, Issue 1, 2011 · pp. 1–21 Read article
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Weighted Latent Dirichlet Allocation, an Optimized and Generalized Probabilistic Topic Model
Abstract: In this study, we have introduced a new distribution named as Mixture Weighted Dirichlet Distribution (MWDD) which acts as generalization to other distributions viz. Dirichlet Distribution, Length or Size-Biased Dirichlet, Area Biased and Volume Biased Dirichlet distributions. Aim of this research is to introduce and implement MWDD for Probabilistic Topic Modeling of Corpus of textual data as an optimized as well as generalized probabilistic topic model. Various statistical and structural …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 1, 2018 · pp. 18–31 Read article
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Detection of Distributed Denial of Service Attack by Hidden Markov Model through Web Proxy System
Abstract: Nowadays the attack against the computer system is becoming very common andvulnerable. Indirect web proxy distributed denial of service attack is an increasinglycommon internet phenomenon and is capable of making the internet services unavailable.Such type of attacks cannot be easily discovered by most existing defense systems sincemalicious traffic is hidden in the aggregated traffic. Also the source of the attack trafficand normal traffic cannot be distinguished because both of them …
Published in Journal Of Network security · Vol. 2, Issue 1, 2014 · pp. 13–20 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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Direct Tuning Method for Optimization of PID and I-PD Parameters
Abstract: Existing work proposed a new and practical approach of tuning of a controller in a closed-loop process plant. The approach is a direct tuning method, termed as Extended Fictitious Reference Iterative Tuning (E-FRIT). Now, we propose to generate the reference model from the closed-loop data, where the order of the reference model is decided based on the process dynamics of the closed-loop data. That makes the model maximum possible fit …
Published in Journal of Instrumentation Technology & Innovations · Vol. 4, Issue 3, 2014 · pp. 14–22 Read article
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Color Detection Using Open CV-Python
Abstract: In this study, we will identify color of different mathematical figures in the example given paired pictures, utilizing Python 2.7, Open Source PC Vision Library (Open CV) and Numpy. Open Cv could be a computer vision library developed by Intel. It is a bunch of C capacities and a couple of C++ classes that carry out broad image cycle and PC vision calculations. Some of the basic image process capabilities …
Published in Recent Trends in Programming languages · Vol. 8, Issue 1, 2021 · pp. 1–8 Read article
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Fabrication of 3D Printer
Abstract: This article gives us a insight about 3D printer technology considering its concepts, history and technology of a 3D printer. The major points covered in this article are Introduction of 3D printer, background, problem statement and scope of 3D printer. The printing process involves creating of a 3-dimensional model, converting it into. STL file, slicing it, feeding the stl file to the 3D printer and the final printing process done …
Published in Journal of Mechatronics and Automation · Vol. 7, Issue 2, 2020 · pp. 10–13 Read article
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Hand Gesture Recognition Systems: A Review of Vision-based and Sensor-based Approaches
Abstract: With many real-world uses, such as sign language translation and human-computer interaction, hand gesture detection is a crucial area of study in the science of computer vision. In this study, we propose a Convolutional Neural Network (CNN) model that uses real-time camera images to recognise hand gestures. A collection of hand motion photographs spanning the English alphabet (A-Z) was gathered, and the images were pre-processed to exclude any backdrop and …
Published in International Journal of Optical Innovations & Research · Vol. 1, Issue 1, 2023 · pp. 15–20 Read article
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Integrating Atmospheric Science: Understanding Greenhouse Gases, Aerosols, and Air Quality Dynamics
Abstract: Atmospheric science investigates the Earth’s atmospheric systems to understand their composition, dynamics, and the implications for climate, weather, and air quality. This review explores five primary areas within the field: atmospheric composition, atmospheric modeling, remote sensing, air pollution, and boundary layer dynamics, highlighting critical challenges and advancements. Rising levels of greenhouse gases (GHGs), including carbon dioxide and methane, continue to drive global warming, while feedback mechanisms—like cloud interactions and surface …
Published in International Journal of Atmosphere · Vol. 1, Issue 1, 2024 · pp. 32–35 Read article