Search
1916 articles for “Modeler” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
-
Evolution of Structural Dynamic Modeling Technique for Airborne Chassis
Abstract: To estimate random vibration response of airborne chassis finite element method is used as a tool. For making an appropriate requirement to determine the design requirement of the package for a designer the point of accuracy is very much linked to this prophecy. The modeling practices which are used in FEM are linked to attain preciseness in any considered prediction. Preciseness of a particular FE model is inclined with appropriate …
Published in Journal of Mechatronics and Automation · Vol. 3, Issue 3, 2016 · pp. 12–17 Read article
-
Assessment of Two Phase Turbulent Mixing Models for Subchannel Analysis Relevant to BWR
Abstract: AbstractDetermination of turbulent mixing rate of two phase flow between neighboring subchannels is an important aspect of subchannel analysis in reactor rod bundles. Various models have been developed for two phase turbulent mixing rate between subchannels. These models show that turbulent mixing rate is strongly dependent on flow regimes; their validity was examined against specific or limited experiments. It is vital to evaluate these models by comparing the predicted two …
Published in Journal of Nuclear Engineering & Technology · Vol. 4, Issue 1, 2014 · pp. 25–44 Read article
-
T-π Network Simulation and Thevenin- Norton Equivalent Circuit Values From Laplace Description Using Pspice Software
Abstract: From the conversion methods of T-π (star-delta) for impedances circuits, the behavioral modeling of Pspice simulation program is used to obtain equivalent circuits using LAPLACE option. The conversions are verified for two types of circuits by obtaining AC values of voltages and currents at various nodes and branches using Pspice computer simulations. There are many ways of expressing Thevenin/Norton equivalent circuit parameters such as (a) as real numbers for pure …
Published in Journal of Semiconductor Devices and Circuits · Vol. 9, Issue 2, 2022 · pp. 43–58 Read article
-
Nonlinear Semiconductor Device Modeling using Neural Networks
Abstract: This paper describes the nonlinear semiconductor (transistor) of small and large signal modeling using a single neural network. Multilayer perceptron (MLP) with back-propagation (BP) learning is adopted in this work to model the drain current (ID) and the transconductance (gm) of the transistor. MLP modeling performance in terms of mean square error (MSE) and complexity of the network are illustrated briefly. Artificial neural network (ANN) model outcome for nonlinear function …
Published in Journal of VLSI Design Tools and Technology · Vol. 4, Issue 3, 2014 · pp. 1–6 Read article
-
Radial Basis Function Neural Networks for Rainfall-Runoff Modeling
Abstract: Rainfall-runoff process is purely nonlinear and varies spatially as well as temporally. Any hydrological model requires many parameters which represent different components of the process. Availability of all the parameters is difficult for any catchment and probabilistic generation of such type of data is impossible. Under such circumstances, artificial neural networks (ANNs) have proven to be a better tool to model the rainfall-runoff process with minimum available data. The present …
Published in Journal of Water Resource Engineering and Management · Vol. 1, Issue 2, 2014 · pp. 11–18 Read article
-
Estimation of Burger Model Parameters by Inverse Analysis of Oedometer Data
Abstract: Contrary to the forward analysis, inverse analysis can be effectively utilized to determine the parameters of a constitutive model commonly used to represent the stress-strain-time behavior or the load-deformation-time behavior of the soil. This paper reports the development of a generalized inverse analysis formulation for the parameter estimation of four-parameter Burger model. The analysis is carried out by formulating the problem as that of mathematical programming in terms of identification …
Published in Recent Trends in Civil Engineering & Technology · Vol. 2, Issue 1-3, 2012 · pp. 37–54 Read article
-
Analysis and Modeling of Acoustic Noise in the Switched Reluctance Motors with Finite Element Method
Abstract: Due to high importance of noise in switched reluctance motor (SRM), a coupled electromagnetic-structure simulation model is created for this motor using ANSYS finite element (FE) package. Since the main reason for producing noise and vibration in the SRM is the radial force applied to the stator pole, the radial force waveform is predicted using the 2D FE transient analysis in the developed electromagnetic model. Determination of the frequency modes …
Published in Trends in Electrical Engineering · Vol. 5, Issue 3, 2015 · pp. 17–22 Read article
-
BER Performance of Lognormal Channel Model with Imperfect CSI for Free Space Optical Communication
Abstract: ABSTRACT In this paper, Lognormal Channel model has discussed with the assumption of imperfect CSI. This channel model is used to describe atmospheric channel condition in mathematical form. BER performance of this channel model is shown according to turbulence scenario based on BER equation available. Here Gauss-Markov model is used for the case of imperfect CSI. Keywords-lognormal, Imperfect CSI, Gauss-Markov model, scintillation index,turbulence
Published in Trends in Opto-electro & Optical Communication · Vol. 2, Issue 3, 2012 · pp. 1–7 Read article
-
Innovative Risk Aperture Manipulation Model for Risk Management in Mega Project Construction
Abstract: The complexities associated with the technical, managerial and financial interventions in mega project implementation accommodates greater risks, encapsulating the complete project period from inception to closure. Consideration of risks in mega project scope is of paramount importance as it delineates either threat or opportunity in the guise of uncertainty at each and every phase of the project. The absence of innovative and rigorous risk management structure imparts a perplexing scenario …
Published in Trends in Transport Engineering and Applications · Vol. 2, Issue 1, 2015 · pp. 11–24 Read article
-
Study on Network Load on Various Mobile Ad Hoc Network Protocols Under the Random Walk Mobility and Random Way Point Model
Abstract: AbstractMobile ad hoc Network consists of mobile networks which create an underlying architecture for communication without the help of traditional fixed-position routers. MANET is group of mobile nodes which uses multi hop transmission for communication. Routing in MANET is challenging task, moreover presence of malicious nodes make the overall network very insecure furthermore dynamic nature of moving nodes adds to the complexity Mobility of the nodes has substantial influence on …
Published in Journal of Computer Technology & Applications · Vol. 5, Issue 1, 2014 · pp. 21–25 Read article
-
Cloud Services Models and its Security Features
Abstract: Cloud Computing plays a vital role in the time of internet. The goal of cloud computing is to transport the services and security. It provides setup and easy way of handling a vast data necessary to run organization positively. Cloud storage technology gets more expansion to attract multiple users. Storage capacity of cloud depends on the users. However, in storage representation, users’ data is all put in cloud servers. In …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 6, Issue 3, 2018 · pp. 13–17 Read article
-
Development of High Sugar Induced Hyperglycemia or Type 2 Diabetes in Zebrafish (Danio rerio) Model
Abstract: Type 2 diabetes (T2D) is the most common form of diabetes, accounting for about 90–95% of all diagnosed cases of diabetes in adult. It is mainly recognized by an increase in blood glucose levels, i.e., hyperglycemia. Earlier, zebrafish (Danio rerio) has been already used for the study of various metabolic diseases. In the present study, a validation study was done for the earlier developed acute hyperglycemia zebrafish model by using …
Published in Research and Reviews: A Journal of Health Professions · Vol. 8, Issue 3, 2018 · pp. 60–66 Read article
-
Enhancing Explainability in Machine Learning Based Spam Email Detection Using LIME and SHAP
Abstract: Spam emails represent a continual and irritating cybersecurity issue due to the fast expansion of cyberspace communication. These messages are unwanted and, in some cases, dangerous, such as phishing schemes, identity theft, and the propagation of malware. They cause severe financial and data security threats to individuals and organizations. Conventional spam detection techniques, such as rule-based spamming, blacklisting, and keyword classification, are techniques that find it difficult to match adaptive …
Published in Journal Of Network security · Vol. 14, Issue 2, 2026 · pp. 35–48 Read article
-
Voice Recognition Technique using Guassian Mixture Model
Abstract: This paper gives us some of the important information about the methods used for voice recognition system. Voice recognition is the identification of person with the help of characteristic of voice. Voice recognition has scope ranging from access control to forensics. In this system we are able to identify the speaker as well as verification of the speaker take place using feature extraction and feature matching technique using GMM. In …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 2, Issue 2, 2015 · pp. 12–15 Read article
-
The Probability Model of Customer Retention with Measuring Customers’ Satisfactions
Abstract: Customer retention rate is an important topic in E-commerce when company hopes to keep the profit from the active customers by marketing programs. This study constructs a probability model to consider customer retention, follows Weibull distribution and is influenced by their satisfaction which is considered as a parameter on retention probability density function. A Bayesian form is formulated by calculating marginal density of customer retention. This probability model can predict …
Published in E-Commerce for Future & Trends · Vol. 8, Issue 1, 2021 · pp. 31–34 Read article
-
A Multi-Quadrant, Integrated and Secure Model of Multiple Watermarking
Abstract: Watermarking safeguards the copyright of digital images with its original owner. A watermarking model is projected by conjoining three distinct multiple watermarking approaches. The secure model is obtained by integrating multiple watermarking with the latest secure cryptographic algorithms. The proposed model will improve copyright protection, achieve large embedding capacity and provide a stronger association amongst image and watermark for integrity and authentication. The multiple watermarking model partitions the cover image …
Published in Journal of Open Source Developments · Vol. 1, Issue 2, 2014 · pp. 15–28 Read article
-
Language Independent Emotion Quantification using Non-linear Modelling of Speech
Abstract: Abstract: At present, emotion extraction from speech is a very important issue due to its diverse applications. Hence, it becomes absolutely necessary to obtain models that take into consideration the speaking styles of a person, vocal tract information, timbral qualities and other congenital information regarding his voice. Our speech production system is a nonlinear system like most other real-world systems. Hence, the need arises for modeling our speech information using …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 6, Issue 3, 2019 · pp. 24–30 Read article
-
Emergent and Self Organizing behavior in Heat Diffusion Model
Abstract: Abstract-Heat Diffusion equation is used to determine thechange in the function of u over time. We try to discuss different experimental parameters from an existent heat diffusion model given by Netlogo for simulation of steady-state temperature distribution of a thin plate as the model shows complex behavior when we change the temperature of the sides to different levels. In addition, we try to modify the model and discuss how emergence …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 4, Issue 3, 2017 · pp. 17–22 Read article
-
DESIGN PERSONALIZATION CLASSIFICATION MODEL USING SEMI-SUPERVISED SUPPORT VECTOR MACHINES
Abstract: Abstract Internet user is growing everyday as an outcome of this huge volume of data is being produced constantly. Thus Mining and evaluating such data can support an organization in services extending from website personalization and usage classification. The pre-existing machine learning algorithms are unable to solve this in a better way. The current application for data classification is really expensive in nature. Improve the recommendation technique using map reduce …
Published in Journal of Web Engineering & Technology · Vol. 5, Issue 1, 2018 · pp. 17–24 Read article
-
Software Approach for Implementing Production Fuzzy Inference Rules for a Hybrid Ensemble Model
Abstract: AbstractThis article provides an overview of the decision tree induction software and random forest ensemble. The general programmatic principles of building a fuzzy decision tree in the Microsoft Visual Studio integrated development environment using the object-oriented C # language on the. Net Framework platform are described. It can be used to develop a hybrid ensemble classifier model.
Published in Recent Trends in Programming languages · Vol. 7, Issue 3, 2020 · pp. 8–16 Read article