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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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MATLAB/Simulink Based Modelling of Solar Photovoltaic Cell
Abstract: AbstractThis paper focuses on a Matlab/SIMULINK model of a 36 cell/72 cell solar photovoltaic cell. This comprehensive Solar Photovoltaic model has been built on mathematical equations and improved through an analogical circuit connecting a photocurrent source and a diode, connecting through a series resistor and a shunt resistor. The developed model assists in the predicting and analyzing the behaviour and properties of PV cell/PV module under different physical and environmental …
Published in Journal of Microcontroller Engineering and Applications · Vol. 5, Issue 3, 2018 · pp. 21–28 Read article
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Capacitance–Resistance Model Application to Reservoirs Primarily Under Aquifer Influx
Abstract: Previous Capacitance – Resistance Models that have been developed to characterise black oil reservoirs undergoing waterflooding do not apply to waterflooding of reservoirs primarily under aquifer influxresulting in significant error. This paper has attempted to overcome this limitation by presenting the aquifer influx as a pseudo injector whose injection rate is represented by an existing aquifer model.The influencing parameters of the model have been modified to include an aquifer influx …
Published in Journal of Materials & Metallurgical Engineering · Vol. 10, Issue 1, 2020 · pp. 16–29 Read article
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Mathematical Modeling of the Flexural Strength, Impact Energy and Water Absorption of a Pineapple Fibre-HDPE Composite using RSM Technique
Abstract: AbstractA pineapple fibre reinforced HDPE composite was developed. Response surface methodology (RSM) experimental design was employed using the latest Design Expert 10.0 software and the sample composites were produced by compounding using two-roll mill and subsequent thermoformimg in a hot pressing machine. Mathematical models of the flexural strength, impact energy and water absorption were developed and statistically validated. The model for the flexural strength fitted best with quadratic model while …
Published in Journal of Polymer & Composites · Vol. 5, Issue 2, 2017 · pp. 42–49 Read article
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Floodplain Inundation Modeling and Mapping for Geray River: Nile Basin, Ethiopia
Abstract: Flood is among the most devastating natural hazards in the world claiming lives and properties more than any other natural phenomena. During high flow, the Geray River flooded the vicinity of the area and causes loss of cultivated land and life. The objective of this study describes the flood extent and depth in the Geray River for different flow conditions. This research involves the integration of HEC-HMS, HEC-RAS, and GIS …
Published in Journal of Water Resource Engineering and Management · Vol. 6, Issue 3, 2019 · pp. 25–45 Read article
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Comparison of Ultra Wide Band Indoor Multipath IEEE 802.15.3 Channel Model
Abstract: ABSTRACT A very large bandwidth of frequency (3.1–10.6 GHz) has been allocated to UWB systems. A single-band UWB signal propagates differently in the lower and upper bands of the spectrum due to the size of its bandwidth. The lower part of the signal can be obstructed more easily and the man-made interferences are not homogeneously distributed over the whole spectrum. The first experimental results obtained for a UWB channel show …
Published in Journal of Communication Engineering & Systems · Vol. 2, Issue 3, 2012 · pp. 20–25 Read article
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Evaluation of Effect of Seeds and Downloaders on the Performance of BitTorrent Network using Markov Chain Modeling
Abstract: AbstractIn this paper, we are using existing Markov chain model to study the effect of count of seeds and downloaders on transition rates, which is an important parameter in Markov chain modeling. As of now, many analytical modeling techniques are used to evaluate the performance of BitTorrent network and Markov chain model is found to be an effective, accurate and extendible one. Many researchers have studied BitTorrent networks to evaluate …
Published in Journal of Communication Engineering & Systems · Vol. 6, Issue 1, 2016 · pp. 30–37 Read article
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Application of Constraint Satisfaction framework to zero trust security Model
Abstract: The zero-trust era has dawned with the advent of security models which addresses the gap between established security models. As cyber-security risks are advancing with the various natures of attacks, the threat has to be minimized by application of robust security models based on mathematical foundations. This study attempts to rehash few challenges existing in popular trust computing models and tries to bring out the characteristic features of constraint satisfaction …
Published in Journal Of Network security · Vol. 10, Issue 3, 2022 · pp. 1–6 Read article
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Three-Dimensional Finite Element Modeling Study of Stress Distribution in Calcaneal Fracture
Abstract: The calcaneus is one of the biggest load-bearing tarsal bone in human body and therefore, many authors stress the importance of its biomechanical modeling and analysis in several aspects. We predicted possible fracture lines’ characteristics throughout the reconstruction of three-dimensional finite element modeling from CT slices and biomechanical analysis of stress state within talo-calcaneal complex, and its clinical validity was identified by comparing with radiographic/intraoperative findings. We reconstructed the 3-D …
Published in Research and Reviews : Journal of Surgery · Vol. 10, Issue 2, 2021 · pp. 11–34 Read article
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Evaluating Lift Systems For Oil Wells Using Integrated Production Modeling: A Case Study Of A Niger Delta Field
Abstract: An integrated production model for evaluating artificial lift systems is presented in this study to ascertain the need to install an artificial lift system or continue with natural flowing mode. An integrated model comprising of reservoir, wellbore and surface facility models representing basic stages of production. The integrated model took into consideration, factors that affect the liquid production at these stages and provide total liquid production at the surface, which …
Published in Journal of Petroleum Engineering & Technology · Vol. 11, Issue 3, 2021 · pp. 32–48 Read article
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Simulation Model for the Spiral Software Development Life Cycle: A Review
Abstract: Software development life cycle (SDLC) is an approach which can be used in a software industry for designing and maintaining information. Among many SDLC models, the spiral model is a genuine methodology to the development of large scale systems and software. There are many problems and limitations encountered by the software systems like allocating the number of workers and resources which further results in major deficiencies like budget overruns, dissatisfied …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 2, Issue 2, 2015 · pp. 1–6 Read article
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Data-driven Comprehensive Predictive Model Leveraging Market Insights and Topographical Factors for Crop Productivity and Profitability
Abstract: For global food security and economic expansion, the agricultural industry is essential. However, farmers face numerous challenges such as unpredictable weather patterns, soil degradation, and market volatility, which affect crop productivity and profitability. This article proposes a prediction model that leverages market trends and topographical factors to optimize crop productivity and maximize profits. The model is designed using machine learning techniques and takes into account variables such as soil type, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 2, 2023 · pp. 21–30 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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Regional Rice Yield Estimation by Integration of Spatial Technologies and Crop model
Abstract: This study investigates how spatial technologies like remote sensing and GIS (Geographic Information System) integrated with a crop growth model to estimate paddy rice yields. Two approaches were used to estimate rice yield one is from remote sensing images and another from soil, climate layers of GIS, linked to the crop model. Oryza2000 model was used as a crop model to link with these technologies. Results show that yield estimated …
Published in Journal of Remote Sensing & GIS · Vol. 4, Issue 2, 2013 · pp. 56–66 Read article
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Homology Modeling and in silico Characterization of a Hypothetical Protein of Arabidopsis lyrata ssp. Lyrata
Abstract: Arabidopsis lyrata, a plant belonging to brassicaceae, is a model organism for studying evolutionary and ecological genetics. Most of the proteins of this plant have remained uncharacterized and their functional roles are still to be elucidated. In this investigation, we have attempted to characterize one such hypothetical protein in terms of its physico-chemical properties, secondary and tertiary structure features by in silico study. The protein was classified under glycoside hydrolase …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 3, Issue 2, 2013 · pp. 1–5 Read article
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Multi-Modal Iris and Retina Recognition System using Discrete Hidden Markov Model based Score Fusion Technique
Abstract: The contribution of this work is to propose a model of multi-modal iris and retina recognition system where Hidden Markov Model based score fusion technique has been used for decision fusion approach. Two different uni-modal techniques such as iris recognition and retina recognition outputs are combined by using baseline reliability ratio based score fusion technique. CASIA iris dataset and DRIVE retinal dataset have been used to acquire the iris and …
Published in Current Trends in Information Technology · Vol. 5, Issue 2, 2015 · pp. 7–12 Read article
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Biodecolorization of Textile Dye Effluent by Biosorption on Plant Biomass and Equilibrium Modelling
Abstract: AbstractDye effluent discharge into water bodies leading to water pollution. Each textile dye process requires a different amount of dye and also it generates a different amount of effluents. Most of the physico-chemical methods are insufficient and highly expensive. Biosorption is an alternative technology for the treatment of different textile and other effluents. Aquatic plants specially water hyacinth showed a greater potential to use as biotrap for textile effluent treatment. …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 9, Issue 1, 2019 · pp. 15–25 Read article
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The Comparison in Time Series Forecasting of Air Traffic Data by Autoregressive Integrated Moving Average Model, Radial Basis Function and Elman Recurrent Neural Networks
Abstract: Nowadays, nonlinear time series and artificial neural networks (ANN) models are used for forecasting in the field of business, agriculture and soon. Recent studies have shown, ANN have been successfully used for forecasting of financial and agriculture data series The classical methods used for time series prediction like Box-Jenkins or ARIMA assumes that there is a linear relationship between inputs and outputs. ANN have more advantages that can approximate to …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 3, 2018 · pp. 75–90 Read article
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Statistical Modeling: New Trends and Applications
Abstract: Statistical modeling plays a crucial role in various fields, aiding in decision-making, prediction, and inference. This article presents a comprehensive review of recent literature to identify and discuss the emerging trends in statisticaL modeling. The methodology involved a systematic search of relevant databases using specific keywords and selection criteria. The review highlights the limitations of traditional statistical modeling techniques and emphasizes the need for advancements in the field. The findings …
Published in Research & Reviews : Journal of Statistics · Vol. 12, Issue 1, 2023 · pp. 39–43 Read article
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Advances in Biological Systems Modeling for Predicting Drug Effects in Chronic Disease
Abstract: Biological systems modeling has emerged as a promising tool for understanding and predicting the effects of drugs in the treatment of chronic diseases. Chronic diseases, such as diabetes, cardiovascular diseases, and neurodegenerative disorders pose significant challenges to traditional drug development due to their complex, multifactorial nature. Systems biology approaches, which integrate computational modeling with experimental data, provide a holistic view of disease mechanisms and treatment responses. This review explores recent …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 1, 2025 · pp. 17–22 Read article
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QSAR Modeling of a Novel Series of Methoxylated Chalcones as Antioxidant Agents Against Gram-Positive Bacteria Staphylococcus aureus
Abstract: Background: Chalcones are aromatic ketones belonging to the flavonoid family. They are plant-based compounds and are widely found in nature. For centuries, these bioactive molecules have been utilized in various traditional medicines for the treatment of several ailments. Chalcones have antibacterial, antiviral, antimalarial, antifungal, antioxidant, and antileishmanial properties. They are also used to treat inflammation and cancer. Chalcones act as angiogenesis inhibitors, an important factor in cancer progression and metastasis. …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 3, Issue 1, 2025 · pp. 28–34 Read article