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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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Cloud Enabled Machine Learning Framework for Medicine System
Abstract: The Medicine Generic App is a cutting-edge mobile application designed to empower users with information about generic medications. Given the rising expenses of healthcare and prescription medications, this app acts as a useful resource for consumers to make informed decisions regarding their medication options. The Medicine Generic App aims to promote generic drug usage, reduce healthcare costs, and improve medication management for users. By providing detailed information and price transparency, …
Published in International Journal of Mobile Computing Technology · Vol. 3, Issue 1, 2025 · pp. 1–6 Read article
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Noise, Vibration and harshness control in motor vehicular parts; a mechanical approach
Abstract: Over the years, noise, vibration and hardness in vehicles has been a major challenge in the field of automobile engineering. With the introduction of new vehicle models, vehicle parts design has been so complex and sometimes we wonder why this happens. NVH which is the internal noise we experience inside the vehicle is generated by several sources inside the vehicle of which includes the engine, the propeller shaft, the differential …
Published in Journal of Automobile Engineering and Applications · Vol. 8, Issue 2, 2021 · pp. 49–53 Read article
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An Elementary Analysis on Ventilated Helmets Using Computational Fluid Dynamics
Abstract: AbstractThis paper focuses on the elementary analysis of a motorcycle helmet using computational fluid dynamics (CFD). The designs of the helmet chosen for the analysis are open face, closed face, and open face with human skull inside. The analysis was done on various speeds of airflow. However, in this paper we will be giving a more generalized idea considering only one velocity of the airflow. We used ANSYS (fluent) for …
Published in Recent Trends in Fluid Mechanics · Vol. 5, Issue 2, 2018 · pp. 1–12 Read article
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Weight Calculation of Forging Die Design for Gear Blank
Abstract: Forging is one of the most adopted manufacturing processes, in which raw material is plastically deformed in to desired shape and size of component. The majority of the crucial load bearing structure component as well as safety critical items are processed through forging process. This is mainly due to the strength and dimensional accuracy of component can be achieved in forging process. Faster production of complex shapes with the less …
Published in Trends in Mechanical Engineering & Technology · Vol. 7, Issue 3, 2017 · pp. 53–58 Read article
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Video Surveillance and Object Tracking: A Survey
Abstract: The multiple object tracking from video sequences has been an open research question for so many years. It remained a demanding research for the tracking of motion and simultaneous object detection within a domain range of image processing and computer vision. The tracking methodologies involve object segmentation, background subtraction, feature descriptors like mean-shift, particle filter. Thus, the performance of such tracking methods varies with the computational complexity which relies on …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 1, Issue 3, 2014 · pp. 15–23 Read article
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Process Control Model of a Simple Water Treatment Plant
Abstract: In everyday life we encounter many interesting but complex processes, and we want to be able to describe these processes in an understandable way. This paper presents a mathematical model for studying the process behavior of a water treatment plant. A state equation was developed as a mathematical model of the process. This mathematical model was used to simulate the effects of varying the parameters of the plant (R, C, …
Published in Trends in Mechanical Engineering & Technology · Vol. 3, Issue 2, 2013 · pp. 29–42 Read article
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Modelling of Skin Effect in On-Chip VLSI RLC Global Interconnect
Abstract: This paper addresses one of the aspects of the high frequency effects, namely the skin effect. The basicproblem with skin effect is that it attenuates the high frequency components of a signal more than that ofthe low frequency components. Due to the increase in operating frequency and die sizes, RC models arebecoming insufficient for analysis of global VLSI interconnects. Accurate noise modelling for RLC lines isthus critical for timing and …
Published in Journal of VLSI Design Tools and Technology · Vol. 1, Issue 1-2-3, 2011 · pp. 31–44 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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Ni-MH Battery Dynamic Model with Reversible DC Machine and a Constant Load for Electric Vehicle Applications
Abstract: The global issues like fossil fuel burning and pollution created have become a headache for the whole world, and therefore the Electric Vehicles (EV) are getting high attention. This paper deals with the Ni-MH battery model for the EV applications. The model described in the paper is entirely dynamic. A test bench is created in the Matlab/Simulink® for the dynamic battery model. Few tests were conducted to prove the adaptability …
Published in Journal of Power Electronics and Power Systems · Vol. 8, Issue 2, 2018 · pp. 30–37 Read article
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A Comprehensive Analysis of Machine Learning Models for Credit Card Fraud Detection
Abstract: This paper presents an indepth comparison of various machine learning models—Logistic Regression, Support Vector Classification (SVC), and Neural Networks (NN)—in the context of credit card fraud detection. The analysis spans multiple performance metrics, including accuracy, F1 score, precision, recall, and computational efficiency. Logistic Regression demonstrates competitive performance in terms of accuracy, but its poor precision renders it unsuitable for fraud detection tasks. Conversely, the Neural Network exhibits balanced precision and …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 Read article
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Wax Deposition Modeling and Comparison with Field Data for Some Indian Oil Fields
Abstract: One of the major determinants for flow assurance of crude oil is its constitution and involves successful management of solid deposits. Major challenges in flow assurance are adequate selection of production equipment and pipelines. Control of wax deposition and its challenge can be met with better prediction through wax modeling. Precipitation of paraffin out of supersaturated crude oil mixture is responsible for wax deposits in pipelines. The authors have seen …
Published in Recent Trends in Fluid Mechanics · Vol. 4, Issue 1, 2017 · pp. 1–15 Read article
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Modeling and Performance Analysis of Electrical Vehicle with SPWM Inverter-fed IPMSM Taking Core Loss into Account
Abstract: Because of the advantages of electrical differentials, people are becoming more interested in using them rather than using mechanical differentials. The mechanical differentials are replaced by using the two rear motors. In the electrical vehicle (EV) different types of electrical machines such as induction motor, permanent magnet synchronous motor etc. are used. The design of a controller is a challenging work, as the output of the motor has to match …
Published in Journal of Control & Instrumentation · Vol. 7, Issue 1, 2016 · pp. 7–16 Read article
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Classification of Plant Leaf Diseases Using Deep Learning Concepts
Abstract: Agriculture is vital to the economy of a country like India, where 70% of the workforce is employed in this sector. Plants suffering from illnesses experience a significant reduction in output. Delays in the identification of plant diseases lead to decreased yield and plant mortality. The cost of manufacturing is increased since it takes a big number of experts to manually detect plant diseases over several acres of land. The …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 46–55 Read article
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Response Surface Methodology for Improving Quicklime Production from Eggshell
Abstract: This study aimed to enhance the characteristics of quicklime by creating practical models based on experimental data. The research focused on analyzing the impact of three key factors during the calcination process: temperature, duration, and the size of eggshell particles. Two process models for RSM models were successfully created and validated. The residual errors between the actual values and the predicted values in the modeling validation runs were less than …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 14, Issue 2, 2023 · pp. 33–41 Read article
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The Clinical Landscape of Wogonin: Advancing Targeted Treatments for Chronic Diseases
Abstract: The traditional Chinese medicinal herb Scutellaria baicalensis Georgi, commonly known as Chinese skullcap or Huang-Qin, has long been used to treat a variety of conditions, including cancer, viral infections, and seizures. Its pharmacological effects are largely attributed to the high concentration of flavones, particularly wogonoside, and its aglycone derivative, wogonin. Among the bioactive compounds found in S. baicalensis, wogonin has garnered the most scientific attention due to its potent therapeutic …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 12, Issue 1, 2025 · pp. 46–52 Read article
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An Aggregate-Breakage Percolation Model and ANN-Based Internal Validation for Curvature-Dependent Electrical Conductivity of MWCNT/TPU Nanocomposites
Abstract: Strain-dependent percolation models are mostly built and tested for uniaxial tension, yet many flexible sensors and stretchable devices work mainly in bending, where the outer fibre is stretched, the inner fibre is compressed and the strain changes with thickness. This study extends an aggregate-breakage percolation model, originally formulated for uniaxial strain, to through-thickness bending of a multi-walled carbon nanotube/thermoplastic polyurethane (MWCNT/TPU) nanocomposite. The local strain is taken as ε(y) = …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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Econometric Modeling for Oil Sectors Stock Prices Time Series Data
Abstract: This study examines the dynamic relationships of stock oil prices of different Indian oil sectors viz., Bharat Petroleum, Hindustan Oil Corporation and Oil and Natural Gas Corporation based on the different econometric models. Empirical result shows that the monthly oil prices are non-stationary and integrated of order one. Johanson procedure to test for the possibility of co-integration relationships result shows that there is no co-integration relationship. Since the variables are …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 2, 2018 · pp. 27–34 Read article
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Investigation of FPGA based PWM Control Technique for AC Motors
Abstract: This paper proposes a Random Frequency PWM synchronized for a three phase inverter implemented with use of Field Programmable Gate Array (FPGA) and applied to a 1-hp induction motor drive system for the reduction of harmonics and improvement of fundamental peak voltage. For providing alternating output voltage with a specific magnitude and frequency to industrial applications, three-phase inverter is preferred. The gating signals to the inverter are produced by means …
Published in Journal of Power Electronics and Power Systems · Vol. 3, Issue 2, 2013 · pp. 16–22 Read article
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Study on a Supercritical Airfoil with Variation in Thickness for Improved Aerodynamic Characteristics in Transonic Regime
Abstract: In this research the steady state analysis of a supercritical airfoil is done to understand the flow physics at transonic Mach number regime for various thickness. The modeling of NASA SC (2) 0714 supercritical airfoil with various thickness values is done. The steady state analysis is carried out for different test cases in combination with different thickness, angle of attack and Mach number at 10 km altitude using density-based Reynolds …
Published in Journal of Polymer & Composites · Vol. 11, Issue 13, 2023 · pp. 122–134 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