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131 articles for “ITER”
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The Frequency Characteristics of Transformer Windings Considering the Separation-Dependence of the Inter-Turn Mutual Parameters
Abstract: The paper presents a direct method for the determination of the frequency characteristics of transformer windings. The dependence of both the inter-turn mutual inductances and capacitances on the separation between these winding turns is taken into consideration. From measured data available in the literature, a formula for this dependence is derived. The voltage and current distributions along the winding will be governed by two integro-differential equations in terms of the …
Published in Journal of Power Electronics and Power Systems · Vol. 6, Issue 3, 2016 · pp. 72–81 Read article
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Solving Economic Load Dispatch Problems through Moth Flame Optimization Algorithm
Abstract: AbstractThis paper proposes the nature-inspired moth flame optimization (MFO) algorithm to solve the economic load dispatch (ELD) problem of power system. The ELD is a concept where the committed generating units are scheduled to meet the total power demanded by the residential area. The ELD problems are solved by the optimization process of the objective function, hence optimization is done by minimizing the total fuel cost function of the generating …
Published in Journal of Semiconductor Devices and Circuits · Vol. 3, Issue 3, 2016 · pp. 25–33 Read article
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Nonlinear Finite Element Analysis of Reinforced Concrete Exterior Beam Column Joint Subjected to Monotonic Loading
Abstract: A numerical analysis of exterior beam-column joint subjected to constant axial load on the column top and monotonic load applied at the beam tip is presented in this work. A strain-based nonlinear finite element program is developed in MATLAB R2009a. The nonlinear analysis of reinforced concrete structural member is carried out considering it as a two-phase system. The concrete in nonlinear range is considered as orthotropic material having different stress-strain …
Published in Recent Trends in Civil Engineering & Technology · Vol. 4, Issue 2, 2014 · pp. 12–21 Read article
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Design and CFD Analysis with Experimental Testing of Exhaust Manifold
Abstract: The exhaust manifold undergoes back pressure problems. If the design of the manifold consists of sharp edges or bends which will tend to create turbulence and increase in pressure. Due to increase in turbulence it can cause an increase in back pressure. As the back pressure increases it tends to improper scavenging of the exhaust gases. So the improper scavenging of the gases leads to improper burning of fuel which …
Published in Recent Trends in Fluid Mechanics · Vol. 8, Issue 3, 2021 · pp. 6–23 Read article
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Aspect of Power Transformer Design and Optimization
Abstract: Transformer is one of the most important components of power system. Preliminarily it looksa simple device but from analysis and innovative point of view, it is the big bank ofengineering, which comprises civil, mechanical, chemical and electrical engineering. It is thetime of taking challenges and respective solution of minimizing cost of transformer withoutaffecting customer specifications. This is only possible by design optimization process.Optimization is the process of making something better. …
Published in Trends in Electrical Engineering · Vol. 7, Issue 1, 2017 · pp. 8–18 Read article
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A New Framework for Optimal Hesitation Pattern Mining
Abstract: AbstractIn mathematical optimization, the firefly algorithm is a metaheuristic approach. It has been proposed by Xin-She Yang and inspired by the flashing behavior of fireflies. Proposed research used Firefly Algorithm for discovering the best Association rules. In this species, it is always the female who glows, and only the male has wings. In other species, Luciola lusitanica, both male and female firefly may emit light and both have wings. If …
Published in Journal of Communication Engineering & Systems · Vol. 7, Issue 2, 2017 · pp. 34–41 Read article
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Advanced Wireless Communication Technology
Abstract: AbstractThe latest iteration of mobile broadband technology 5G stands for fifth-generation wireless technology. The technology of mobile communication started from the first generation and reached to the fifth generation and the next evolution 6G and 7G are the future of mobile communication. This paper includes the evolution of 5G wireless technology as well as focuses on all preceding generations of wireless communication. This paper contains the characteristics and feature of …
Published in Journal of Communication Engineering & Systems · Vol. 9, Issue 3, 2019 · pp. 1–3 Read article
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A Review of Particle Swarm Optimization
Abstract: Particle swam optimization (PSO) is a computational technique that streamlines a problem by attempting to improve the arrangement of an applicant with respect to a given value ratio iteratively. This approaches the problem by having a number of candidate solutions, and then pushes the particles in the search space according to a mathematical equation over the position and velocity of the particles. Researchers and specialists have provided various perspectives and …
Published in Journal of Communication Engineering & Systems · Vol. 11, Issue 2, 2021 · pp. 29–36 Read article
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Finding Risk Factors in Thyroid and Cardiovascular System Using Naive Bayesian (NB) Machine Learning Technique
Abstract: Thyroid malady could be a common condition. A TSH test is carried out to check for the capacities of your thyroid organ. Illnesses of thyroid can be caused by conditions which cause thyroid organ over or under function. The test can moreover assist you recognize thyroid conditions some time recently indications happen. It is either as well (hyperthyroidism) or under-active (hypothyroidism), you might know. In case untreated, thyroid clutter may …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 8, Issue 1, 2020 · pp. 1–5 Read article
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Reconstruction Techniques for Super Resolution Using Low Resolution Images
Abstract: The aim of Super Resolution (SR) reconstruction is to restore High Resolution (HR) image using information obtained from many degraded and aliased Low Resolution (LR) images. SR is signal processing for bandwidth expansion beyond the pass band of the imaging hardware system by using spatio-temporal information available from LR images. Over last three-decade various researchers contributed in the field of SR, but all are intuitive SR mechanisms. This paper employs …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 9, Issue 2, 2021 · pp. 5–13 Read article
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MODIFIED KEY GENERATION OF BLOWFISH ALGORITHM FOR TEXTUAL AND IMAGE DATA
Abstract: IoT is a word to today’s technical advancement to the digital world. Thus, not only the data which is marked as crucial, but security of this data is equitably important. This paper attempts to introduce one such way of safeguarding the data with encryption algorithm- Blowfish algorithm. The modification is made to the algorithm base lining the original algorithm and then the results are analyzed to validate the enhancement made. …
Published in Journal Of Network security · Vol. 6, Issue 1, 2018 · pp. 27–30 Read article
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Comparing Graphical and Algebraic Methods in Solving Linear Programming Problems
Abstract: Linear Programming (LP) is a fundamental optimization technique widely employed across engineering, manufacturing, transportation, finance, healthcare, and other industrial sectors to support effective resource allocation and informed decision- making. Among the various solution techniques, the graphical and algebraic methods remain the two most fundamental approaches, each offering distinct advantages depending on the complexity and dimensionality of the optimization problem. This paper presents a comprehensive comparative study of these methods by …
Published in Journal of Production Research & Management · Vol. 16, Issue 2, 2026 · pp. 33–43 Read article
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Implement Artificial Intelligence and Machine Learning for Engineering Design, Predictive Modeling, and Optimizing Polymer Nanocomposites
Abstract: Polymer nanocomposites are high performance engineered materials obtained by inclusion of nano-sized fillers into the polymer matrix to enhance mechanical, thermal, electrical, barrier and functional properties. However, the complex and non-linear interactions among polymer chemistry, nanofiller characteristics, filler concentration, dispersion, interfacial bonding and processing conditions make it challenging to anticipate and maximize their properties. Artificial intelligence (AI) and machine learning (ML) offer powerful data-driven solutions to these difficulties by establishing …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Decoding Software Success: A Study of Five Engineering Models
Abstract: Choosing the right software development life cycle (SDLC) model plays a vital role in determining the overall success of a software development project, as it directly affects the planning, execution, quality, and timely delivery of the final product. Different software engineering models provide structured approaches for planning, designing, developing, testing, deploying, and maintaining software systems, with each model offering distinct advantages depending on project characteristics. This study presents a comparative …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 13, Issue 2, 2026 · pp. 27–35 Read article
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Identification of Thyroid Disease Severity using Fuzzy C-Means
Abstract: Clustering is a primary data description method in data mining which group’s most similar data. Data clustering is one of the important problems in the fields of data mining, bio-informatics and pattern recognition. Various algorithms are used to solve this problem. This paper presents the performance analysis of k-means clustering algorithm and compares it with fuzzy C- Means (FCM) algorithm on Thyroid disease data set. We also find the accuracy …
Published in Journal of Advanced Database Management & Systems · Vol. 1, Issue 1, 2014 · pp. 13–19 Read article
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Modified Genetic Algorithm for Performing the Regression Testing
Abstract: AbstractIt states simply what work Software Testing is an approach where deferent errors and bugs in the software are identified. To test software we need the test cases. One of the mainly imperative activities in software maintenance is Regression Testing. The re-execution of all test cases throughout the regression testing is expensive and time consuming. And even though several of the code based planned techniques by researchers address technical programs. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 2, 2019 · pp. 69–75 Read article
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A Review of Techniques for Securing Big Data Integrated with Cloud
Abstract: AbstractIn the era of big data and cloud computing, which are the most sophisticated technologies individually with enormous potential; these technologies when integrated can extend themselves seamlessly to solve complicated problems of day-today life. We generate enormous amount of precious data every second related to personal, business to professional field through our digital lives. Big data perfectly fits in this scenario to help us to store, process and manage this …
Published in Journal of Advanced Database Management & Systems · Vol. 7, Issue 3, 2020 · pp. 34–40 Read article
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A New Method to Optimize Initial Cluster Number and Then Apply K-Means Algorithm to Perform Image Segmentation
Abstract: Clustering is described as the task of merely grouping a set of data points, which in our case are represented by image pixels, with the application of one or more algorithms, into super-pixels. The k-means clustering algorithm is used for many day-to-day practical applications where the quality of the obtained clusters depends heavily on the initial selection of centroids. In literature, several methods have already been proposed for the improvement …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 5, Issue 2, 2018 · pp. 18–24 Read article
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A Survey on Various Image De-noising Methods
Abstract: Image de-noising is a classical yet fundamental problem in low level vision, as well as an ideal test bed to evaluate various statistical image modeling methods. The restoration of a blurry or noisy image is commonly performed with a maximum a posteriori probability (MAP) estimator, which maximizes a posterior probability to reconstruct a clean image from a degraded image. A MAP estimator, when used with a sparse gradient image prior, …
Published in Journal of Operating Systems Development & Trends · Vol. 1, Issue 3, 2014 · pp. 10–14 Read article
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External Filtering and Wavelet Domain Thresholding-based Denoising Method for AWGN corrupted imagesExternal Filtering and Wavelet Domain Thresholding-based Denoising Method for AWGN corrupted images
Abstract: In this work an image de-noising method with external bilateral filtering and wavelet domain thresholding has been proposed. In Gaussian filtering, it fails to denoise an image at edges where the spatial variations are not smooth and causesblurs at the edges in the image. External bilateral filter (EBF) beats this by filtering the picture in both reach and area (space). Respective separating is a nearby, nonlinear and non-iterative procedure which …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 8, Issue 1, 2021 · pp. 11–19 Read article