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1916 articles for “Modeler” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Transient Analysis of Electronic Circuits Including Zener Diodes
Abstract: This paper addresses the transient analysis of the electronic circuits incorporating Zener diodes. It starts with suggesting a new Zener diode model. The model is based on efficiently utilized step functions of the applied voltage. It includes also the diode’s main technical parameters such as its resistances in both the forward and reverse current directions as well as its Zener’s breakdown voltage. The sharp discontinuities of the step-functions are dealt …
Published in Journal of VLSI Design Tools and Technology · Vol. 11, Issue 3, 2021 · pp. 1–9 Read article
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Modeling and Simulation to Monitor Dissolved Nitrogen Depositions in Eleme Streams, River State
Abstract: This paper monitor the dissolved nitrogen deposition in stream, the study observed high rate of nitrogen content in the stream, the result from physiochemical analysis shows the rate and variation of nitrogen concentration, this pollution content were monitored applying modeling and simulation, the predictive values were generated from different stations, the result shows decreasing rate of dissolved nitrogen from all the stations, the results expresses in every points of observation …
Published in Journal of Water Resource Engineering and Management · Vol. 7, Issue 2, 2020 · pp. 23–37 Read article
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Applicability of SWMM Model for Urban Flood Forecasting: A Review
Abstract: Urbanization, the major goal for the emerging economies, with which come the major concerns, flood conditions being one of them. The huge losses of infrastructure and lives have alarmed us with the need to tackle this situation in an effective and sustainable manner. Flood forecasting and its management is the only sail through the narrow gap between the disasters and prosperity. Precipitation is the major component of the hydrologic cycle …
Published in Journal of Water Resource Engineering and Management · Vol. 4, Issue 2, 2017 · pp. 1–4 Read article
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Hydrological Modelling using Soil and Water Assessment Tool for Shivna River Basin and Calibration Using SWAT-GLUE Algorithm
Abstract: The management of water in India faces significant challenges in both the level i.e., quality andquantity. In order to address these challenges and to source the rational and efficient management ofwater resources, it is necessary to understand the different issues involved in the water cycle works.Thus, hydrological models are important tools that have been used in water resource planning and itsmanagement. In this study the hydrology of Shivna sub-basin which …
Published in Journal of Water Resource Engineering and Management · Vol. 8, Issue 1, 2021 · pp. 8–16 Read article
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A Mechanics based Analytical Model for Evaluating the Seismic Performance of Unreinforced Masonry Building Retrofitted with Wire Mesh
Abstract: A mechanics based analytical model employing the results of experimental work is proposed for the seismic performance evaluation of low-rise unreinforced masonry buildings reinforced with steel welded wire mesh. The model is based on rigid diaphragm and weak pier-strong spandrel concept, i.e. the damages occurs in piers and spandrels remain fully elastic. Two types of failure criteria’s, namely, flexural failure and shear failure were considered. Lateral force-deformation curves are defined …
Published in Recent Trends in Civil Engineering & Technology · Vol. 3, Issue 1, 2013 · pp. 1–7 Read article
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Accurate & Efficient Plant Disease Detection using Transfer Learning with Edge Impulse
Abstract: Transfer learning is a powerful machine learning technique that allows optimization of pre-trained models for related tasks on small datasets. In this research paper, we explore the application of Edge Impulse & transfer learning for plant diseases and aim to detect on edge devices more effectively at low cost. We collected and preprocessed many plant images and used this data to fine-tune a neural network model pre-trained by Edge Impulse. …
Published in Recent Trends in Sensor Research & Technology · Vol. 10, Issue 1, 2023 · pp. 30–41 Read article
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Discrete Hidden Markov Model based Face Recognition System Introducing Sustainability of Uneven Lighting Distortion
Abstract: The aim of this work is to enhance the performance of appearance based face recognition system to remove the uneven lighting effect which is generally occurred in natural environment. Active Shape Model has been used to detect the facial shape and contrast based edge detection technique has been applied to reduce the uneven lighting problem. Linear Discriminant Analysis has been used to reduce the dimension of the facial feature vector. …
Published in Trends in Electrical Engineering · Vol. 4, Issue 1, 2014 · pp. 9–16 Read article
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A Core Loss Model Based on Finite Element Method for Switched Reluctance Generator Considering Different Control Modes
Abstract: In the present paper, core loss modeling of switched reluctance generator (SRG) is proposed for the first time. Using ANSYS finite element (FE) package, 2D FE transient analysis of SRG is carried out and the stator pole flux waveform is predicted. To determine the flux waveforms in the different parts of the machine, an introduced mathematical flux model is considered and its algorithm is implemented in ANSYS Parametric Design Language …
Published in Trends in Electrical Engineering · Vol. 4, Issue 2, 2014 · pp. 26–33 Read article
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An approach to adding knowledge constraints to a data-driven generative model for Carnatic rhythm sequence
Abstract: Computational models for generative music have been a recent trend in AI based technology developments. However, an entirely data-driven strategy often falls short of capturing the naturally occurring rhythmic grouping. Guedes et al. [1,2] had proposed dictionary based and stroke-grouping based approaches to generate novel sequences in the 8-beat cycle of Aditala. More recently an attempt of incorporating arithmetic partitioning, as conceived by performers, was made [3] to get rid …
Published in Trends in Electrical Engineering · Vol. 9, Issue 3, 2019 · pp. 11–17 Read article
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Reliability Modeling, Performance and Cost-Benefit Analysis of Optical Fiber Network in DCRUST
Abstract: AbstractThis paper includes the survey of optical fiber network in DCRUST and its reliability modeling aspects to evaluate reliability of that optical fiber network. Model in this paper has an operative unit which is optical fiber cable and a hotstandby unit which is an optical fiber ring provided as a redundant fiber in DCRUST. This protection path is necessary in optical fiber to reduce the wastage of time and to …
Published in Trends in Opto-electro & Optical Communication · Vol. 8, Issue 1, 2018 · pp. 8–15 Read article
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A Comprehensive Logical Model of Bus Terminal Planning Standards in India
Abstract: In India, presently, there are no guidelines available for bus terminal planning standards based on varied passenger characteristics. Since human comfort is a primary design consideration in architectural design planning, design standards for passengers must be based on a relative scale to provide the desired design environment anthropometrically. The requirement for this research is to help resolve the problems faced by planners and architects due to lack of comprehensive design …
Published in Trends in Transport Engineering and Applications · Vol. 7, Issue 1, 2020 · pp. 49–61 Read article
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BREAKDOWN VOLTAGE TEST OF DIFFERENT SOLID INSULATING MATERIALS USING ARTIFICIAL NEURAL NETWORK MODEL
Abstract: In this paper we are presenting Artificial Neural Network (MFNN) model which has different possible inputs affecting the breakdown voltage that are working temperature, the insulating material thickness, dielectric strength of insulating material, volume resistivity of materials, dissipation factor, conductivity of materials, and the materials relative permittivity that also predicts the breakdown voltage as a function of all these inputs parameters. It is important to train the Artificial Neural Network …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 6, Issue 2, 2018 · pp. 22–29 Read article
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Computational Intelligence and Neuro-Fuzzy Modelling of Polymer Composites: A Critical Review of Performance Prediction and Optimization
Abstract: The increased variety in polymer matrices, reinforcements, fillers, and processing parameters has led to the need to better understand the structure-property, process-property relationships in order to accurately predict and optimize the performance of polymer composites. This paper reviews the applications of computational intelligence methods in polymer composites, with special focus on artificial neural networks, adaptive neuro-fuzzy inference systems, machine learning techniques, and hybrid optimization. The literature is analyzed based on …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 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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A Production Inventory Model in a Random Planning Horizon Incorporating Learning Effects on Inventory Costs Under Inflation and Time Value of Money via Genetic Algorithm
Abstract: A production inventory model for a new product is developed incorporating inflation and time value of money. It is assumed that lifetime of the product is random in nature and follows exponential distribution with a known mean. So planning horizon of the model is random in nature. Here learning effect on production and set-up cost is incorporated. Model is formulated to maximize the expected profit from the whole plan-ning horizon …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 1, Issue 2, 2014 · pp. 1–12 Read article
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Interpretive Structural Modelling (ISM) for Prioritization of Green Supply Chain Indicators
Abstract: AbstractPurpose: Today the innovative tool used for enhancing the efficiency of Supply Chain Management is Green Supply Chain Management (GSCM). This paper aims to identify and rank the major indicators and sub-indicators that help achieve successful implementation of Green Supply Chain Management (GSCM) in Indian Manufacturing Industries. Design/Methodology/Approach: Interpretive Structural Modelling (ISM) is used to identify indicators, which have been identified through literature review and experts’ opinions from industry person …
Published in Journal of Advanced Database Management & Systems · Vol. 6, Issue 1, 2019 · pp. 39–54 Read article
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Hybrid HMM/ANN Models for Improving Offline Handwritten Text Recognition
Abstract: AbstractIn this approach, it proposes the use of hybrid Hidden Markov Model (HMM)/Artificial Neural Network (ANN) models for recognizing the unconstrained offline handwritten texts. Handwritten image normalization from a scanned image includes several steps, usually it begin with image cleaning, page skew correction, and line detection. For handwritten text line image several pre-processing steps to reduce variation in writing style are performed like slope and slant removal and character size …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 3, 2016 · pp. 16–23 Read article
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3D Modeling Technique: A Survey
Abstract: This paper presents a stereo image processing techniques for the detection of a depth information from images. Inspite of a remarkable growth in the last few years, the availability of 3D content is still diminutive by that of its 2D portion. To solve this problem, many 2D-to-3D image methods have been proposed. Here, a stereo image processing technique is actually a 3D modeling technique. We analyse two types of methods. …
Published in Journal of Operating Systems Development & Trends · Vol. 1, Issue 3, 2014 · pp. 6–9 Read article
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A Review on Parallel Computing Models
Abstract: AbstractThe principle thought behind this paper is about the program models which are utilized as a part of the parallel registering. In this paper, you will be illuminated by outline of parallel programming models and challenges which confronted amid projects execution. This likewise speaks of the parallel programming models which exist as a reflection of above equipment and memory structures. Keywords: Single program multiple data (SPMD), multiple program multiple data …
Published in Recent Trends in Parallel Computing · Vol. 3, Issue 3, 2016 · pp. 11–15 Read article
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Vector of Auto-Regressive Modeling for Agricultural Crop Production
Abstract: AbstractThe present investigation was carried out to study the trends in area and production of paddy crop, grown in Tamil Nadu during the period 1950–51 to 2009–10, using the multivariate time series modeling. The multivariate time-series model, VAR (p) model of order 1 was found suitable to study the trends in area as well as production of these crops. Decreasing trends in area as well production of these crops have …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 4, Issue 3, 2017 · pp. 42–50 Read article