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1916 articles for “V-model” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Traffic Density Estimation Using Image Frames in Python
Abstract: Traffic congestion is a critical challenge in modern urban environments, leading to significant delays, environmental pollution, and increased accident rates. With the rapid growth of vehicle populations in metropolitan areas worldwide, the need for intelligent and automated traffic monitoring systems has become increasingly urgent. Traditional monitoring approaches, such as inductive loop detectors and manual surveillance, are limited in scalability, deployment cost, and adaptability to dynamic traffic scenarios. This paper presents …
Published in Trends in Transport Engineering and Applications · Vol. 13, Issue 2, 2026 · pp. 38–45 Read article
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VACUUM ASSISTED ABSORPTION CHILLER. PART I: MODELING AND SIMULATION
Abstract: A new absorption chiller assisted by a vacuum device has been simulated and characterized through a simulation process. Simulation has been developed for a range of 0.75-10 bars for the evaporation process with a constant ratio between the condensation and evaporation pressure of 10. Simulation has predicted a great improvement of the COP of the absorption chiller when operating at evaporation pressures under atmospheric level, with values of 6.844 for …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 8, Issue 3, 2021 · pp. 1–11 Read article
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Modeling of WSN Based Public Transport Vehicle Failure Reporting System
Abstract: Public transport vehicle can face emergency or failure during travel, which requires an urgent calling for better on-line assistance and need to inform in response to adjacent bus stop. The system has notification and security for travelling transport vehicles with identifying all arrival buses at all bus stands with the help of low cost RF Trans-receiver system, Packet switching based WSN communication and specialized protocol design. This system is capable …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 2, Issue 3, 2015 · pp. 9–14 Read article
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Modelling and Control of Grid-Connected PV–Battery Hybrid System Using Dynamic Voltage Restorer for Enhanced Power Quality
Abstract: The integration of large-scale photovoltaic (PV) systems into modern power grids introduces significant challenges in maintaining power quality, including voltage sags, swells, and harmonics. To address these issues, this study presents a comprehensive modelling and control framework for a grid-connected PV–Battery hybrid system equipped with a Dynamic Voltage Restorer (DVR). The PV array is modelled using detailed mathematical equations, while the DC–DC converter incorporates advanced Maximum Power Point Tracking (MPPT) …
Published in International Journal of Electrical Power and Machine Systems · Vol. 3, Issue 2, 2025 · pp. 43–58 Read article
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R-M and M-R Model for Interpreting Logic State of Memristor Aided NOR with Enhanced Noise Margin
Abstract: Memristive crossbar arrays are one of the fascinating subjects in the field of nanoelectronics and memory devices. The arrangement of arrays consists of grid-like structure with rows and columns of memristors which are resistive devices that can preserve their resistance state even after power is turned OFF. They have now emerged as a promising alternative to traditional memory technologies due to their high density, non-volatility and low power consumption. This …
Published in Recent Trends in Mathematics · Vol. 1, Issue 1, 2024 · pp. 35–41 Read article
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Hexavalent Chromium Resistance Test of Saccharomyces Cerevisiae and Modeling of its Bioaccumulation Process
Abstract: Now a day, the release of high chromium containing tannery waste water from tanning industries to the environment is the life threatening action of human activities and bioaccumulation becomes a better alternative in treating heavy metals(such as Cr(VI) )due to its cost effective, relatively high heavy metal removal capacity and recovery property. Cell suspensions of S.cerevisiae at its exponential growth phase were added to 250 ml plastic flasks of containing …
Published in Emerging Trends in Chemical Engineering · Vol. 8, Issue 1, 2021 · pp. 36–44 Read article
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Review on Computer-Aided Drug Design in RAS Inhibitor Discovery
Abstract: This review explores the utilization of computer-aided drug design (CADD) methodologies in the discovery of inhibitors targeting the RAS pathway, a pivotal signaling cascade implicated in various cancers. Through an extensive examination of computational tools, methodologies, challenges, and recent advancements, this review aims to provide insights into the role of CADD in accelerating RAS inhibitor discovery. The discovery of effective inhibitors targeting the RAS pathway is of paramount importance in …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 11, Issue 3, 2024 · pp. 7–14 Read article
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Variation of Ground Acceleration with Increase in Lateral Distance
Abstract: Ground acceleration induced by dynamic loading decreases with increasing lateral distance from the source because of wave attenuation and energy dissipation through the ground. Accurate estimation of ground acceleration at different distances is essential for evaluating the safety and performance of nearby structures, particularly in blasting, seismic, and heavy construction activities. This study presents a simplified linear attenuation model for estimating ground acceleration at greater lateral distances using limited measured …
Published in Journal of Geotechnical Engineering · Vol. 13, Issue 2, 2026 · pp. 21–27 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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Comparison of Models of Machine Learning and Hyperparameter Optimization Methods on Various Datasets
Abstract: The most likely phase in achieving powerful and robust machine learning models is probably the hyperparameter tuning step. The traditional exhaustive methods of search (grid search and others) ensure that the search space is covered, but are computationally inexpensive; random search is less expensive and can still miss good regions; and lastly, the modern model-based and population-based methods (Bayesian optimization, tree-structured Parzen estimator (TPE), genetic algorithms) are thought to provide …
Published in Recent Trends in Programming languages · Vol. 13, Issue 1, 2026 · pp. 35–42 Read article
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Fused Deposition Modelling-based 3D Printing: A Systematic Literature Review Employing VOS Viewer
Abstract: Fused Deposition Modelling, also known as FDM, has emerged as a major technology in the field of 3D printing. It provides adaptability and cost-effectiveness in the process of materializing intricate designs. This paper intends to conduct a complete bibliometric analysis (BA) of 3D printing based on fused deposition modelling (FDM) in order to comprehend the trend and research field. After extracting data from the Scopus database using the titles, abstracts, …
Published in Journal of Polymer & Composites · Vol. 11, Issue 12, 2023 · pp. 197–202 Read article
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Thermal Modeling of Open Sun Drying System: An Experimental Validation
Abstract: In the work being presented, the expressions for crop and moist air temperatures of open sun drying system in quasi - static state conditions have been derived. The analysis was carried out by writing energy balance equations for crop surface and moist air above the crop surface. A computer model was developed to predict the crop temperature and moisture evaporation rate of potato slices of approximately 2.5 mm thickness exposed …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 5, Issue 2, 2015 · pp. 30–39 Read article
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A Comparative Analysis of Machine Learning Techniques for Fruit Defect Detection Systems
Abstract: With evolving technologies in machine learning, significant advancements have been made in the livestock industry, helping to reduce waste, increase yield, achieve cost savings, and improve competitiveness in the marketplace. Fruit defect detection models support precision agriculture by providing valuable data for decision-making and enhancing overall efficiency through automated inspection processes. This study implements and comparatively evaluates machine learning models including MobileNetV2, a custom-designed convolutional neural network (CNN) model, ResNet50, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 3, 2024 · pp. 37–47 Read article
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Modelling and Structural Analysis of Ice Strengthened Vessel
Abstract: Abstract In this paper, one global and one local FE-model are developed in order to calculate the response of ice loading on an ice strengthened 100.000 DWT oil carrier. A global analysis is performed by applying loads in two different areas in the bow region. The deformations of the global model are used as boundary conditions in the analysis of the local model. In each of the two areas, the …
Published in Journal of Offshore Structure and Technology · Vol. 4, Issue 1, 2017 · pp. 11–20 Read article
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A Sustainable EOQ Model for Declining Products Incorporating Cubic Demand, Variable Deterioration, Partial Backlogging, and Carbon Emission Optimization
Abstract: In this paper proposes a sustainable Economic Order Quantity (EOQ) model for inventory systems involving decaying items under cubic time-dependent demand, variable decaying rates, and partial backlogging while absolutely considering carbon emission costs. The model reflects practical market actions where demand initially increases and afterwards declines over time, and decay depends on the age of the item. To demonstrate the current model's applicability as well as evaluate the trade-off between …
Published in International Journal of Industrial and Product Design Engineering · Vol. 4, Issue 1, 2026 · pp. 20–28 Read article
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Machine Learning Approach to Predict the Performability and Emissions of Diesel Engine Fueled with Doped Biodiesel Blend
Abstract: Enhancing the performability and emission characteristics of diesel engines has been a difficult task in light of growing concerns about global warming and other negative effects, as diesel accounts for 70% of global energy demand. In this study, engine performance and exhaust emissions for various fuel blends were thoroughly evaluated using machine learning techniques to predict engine emission and performance behavior. We focused on biodiesel blend and nanoparticle additive concentration …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 3, Issue 1, 2025 · pp. 1–12 Read article
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A Comprehensive Investigation of Bagging-Based Ensemble Methods for Improving Machine Learning Model Robustness
Abstract: Machine learning models such as Decision Trees, Logistic Regression, and K-Nearest Neighbors are widely used for classification tasks due to their simplicity and interpretability. However, these models often suffer from high variance, overfitting, and poor generalization when applied to real-world datasets, particularly those that are small, noisy, or imbalanced, as commonly encountered in healthcare, finance, and cybersecurity applications. To address these limitations, this research proposes a Bagging (Bootstrap Aggregating)-based ensemble …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 24–34 Read article
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Modeling and Simulation to Monitor Stress–Strain Behaviour from Partial Replacement of Fly Ash and Alccofine on High Developed Concrete Strength
Abstract: This paper monitors the behaviour of stress-strain on model concrete that partially replace cementwith alccofine and fly ash, the stress-strain in concrete normally distort some level of determinant onthe extent of load, the values of strain in concrete is of immense imperative, because it stands for theinflexibility in terms of structural design, the study try to show some rate of stress development onconcrete that monitor lasting deformation if limits that …
Published in Journal of Offshore Structure and Technology · Vol. 8, Issue 1, 2021 · pp. 10–25 Read article
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An Analytical Model for Sub grid Force-Equilibrium Approach in Submerged Vegetative Channel
Abstract: A new, analytical model of the vertical flow velocity profile of submerged vegetation has been developed. Velocity profile can be divided into three zones: linear zone which is closed to bed with linear velocitydistribution, logarithmic zone which involves the main channel without vegetative cover and the middle zone (transition zone) that is affected by the momentum of upper zone. For the surface layer, Prandtl’s mixing lengthconcept is adopted resulting in …
Published in Recent Trends in Civil Engineering & Technology · Vol. 1, Issue 1-3, 2011 · pp. 1–7 Read article
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Carbon Dioxide as a Fundamental Component in Sustainable Organic Synthesis
Abstract: A lot of people are interested in carbon dioxide (CO₂) as a cheap, plentiful, and safe source of carbon for making chemical processes more sustainable. Using it as a C1 building block in organic synthesis is a promising way to make products with added value while having less of an impact on the environment. This article examines current advancements in CO₂ fixation into organic compounds, emphasising the creation of effective …
Published in International Journal of Advance in Molecular Engineering · Vol. 3, Issue 2, 2025 · pp. 22–34 Read article