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25 articles for “Kern’s method”
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Performance Analysis of Shell and Tube Heat Exchanger using Engineering Equation Solver
Abstract: The following paper consists of extensive thermal analysis of the performance of Shell and tube heat exchanger under various configurations. To serve the purpose a simplified model of shell and tube heat exchanger has been designed using kern’s method to cool the water from 55°C to 45°C by using water around room temperature. Then we have extrapolated the performance analysis using the EES (Engineering Equation Solver) software to simulate the …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 6, Issue 1, 2019 · pp. 20–26 Read article
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Machine Learning Assisted Design and Analysis of Polymer Composite Materials for Sustainable Renewable Energy Systems
Abstract: Accurate prediction and optimization of polymer composite properties is of paramount importance in the design of these lightweight, durable, and sustainable materials within renewable energy technologies. This work will provide a holistic machine learning-assisted framework that unites materials informatics with domain-specific features and state-of-the-art ML methodologies in the prediction of the mechanical properties of polymer composites, such as tensile strength. This includes embedding several ensemble models, including Random Forest and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 391–402 Read article
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Online Learning Algorithm for Multi-Kernel Balancing of Computational Work Load
Abstract: The online learning is an advancement made toward the extended machine learning approach where the application is web-based. Thus, the common problem to build a kernel based online perceptron algorithm is the amount of memory required to dynamically access for the so formed hypothesis derivable from the algorithm. As it tends to increase without a lower bound; also the computational load of such an algorithm increases linearly with the memory …
Published in Journal of Web Engineering & Technology · Vol. 1, Issue 3, 2014 · pp. 15–18 Read article
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Identification of Accident Hot Spots at Different Roads of Midnapore Municipality Area: A Geoinformatic Approach
Abstract: Road traffic injuries (RTIs) are a huge public health and development problem, killing almost 1.2 million people a year and injuring or disabling almost 20 to 50 million or more. Both WHO and World Bank data show that without appropriate action these injuries will rise dramatically by the year 2020, particularly in rapidly-motorizing countries. The study identifies the volatile traffic areas where road accidents are almost regular events and assess …
Published in Journal of Geotechnical Engineering · Vol. 1, Issue 1, 2014 · pp. 20–38 Read article
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Geospatial Depiction of Groundwater Level Disparities on a Temporal Component over Portions of Cuddapah District, India Using Contemporary Geo Tools and Interrelated Statistics
Abstract: This paper mainly focuses on comparing methods such as Deterministic methods, Geostatistical methods and Interpolation methods in order to obtain a good fit to represent groundwater level disparities existed in the study area from 1996 to 2015. Inverse Distance Weighting, Global Polynomial Interpolation, Radial Basis Functions, Local Polynomial Interpolation, Kriging, Empirical Bayesian Kriging, Kernel smoothing and Diffusion Kernel were the methods tested for the present study. The data set procured …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 6, Issue 2, 2017 · pp. 13–29 Read article
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Dimensionality Reduction using Eigenfaces and Fisherfaces for Face Recognition Applications using Kernel LMS Algorithm
Abstract: AbstractFace recognition is an intricate numerical technology in computer systems that can support recognition of human faces using methods such as principal component analysis (PCA), linear discriminant analysis (LDA), etc. by comparing the given facial uniqueness with the already available face database. PCA and LDA are classical feature extraction and data representation techniques used in face recognition algorithm involving unsupervised statistical methods. The 2-D facial image can be transformed into …
Published in Journal of Computer Technology & Applications · Vol. 6, Issue 2, 2015 · pp. 29–55 Read article
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A Novel Clustering Techniques Evaluation using Monte Carlo Simulation
Abstract: In Machine Learning clustering is one the most significant method. Today, we have data in rich from many sources but in order to get meaningful information from it is very boring task. Machine learning clustering algorithms to create cluster to decode the meaningful information from the data, this analysis approach has gained much popularity in recent years. This paper explores evaluation performance of frequently used existing clustering techniques such as …
Published in Research & Reviews : Journal of Statistics · Vol. 10, Issue 3, 2021 · pp. 1–23 Read article
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Extraction Properties of Mangifera indica Seed Kernels: A Comprehensive Analysis of Their Industrial Potential
Abstract: Mango (Mangifera indica) is widely regarded as one of the world's finest fruits, with a rich nutritional profile, including fiber, riboflavin, carotene, and ascorbic acid. Among its lesser-known components, the mango seed kernel offers significant nutritional and industrial value. Mango kernels are composed of protein, fat, carbohydrates, crude fiber, and ash, and contain bioactive compounds such as polyphenols, phytosterols, and tocopherols. The fat extracted from mango seed kernels has shown …
Published in Journal of Petroleum Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 22–28 Read article
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An Innovative AI-Integrated Approach for Identifying the Tensile Robustness of Polymeric Materials
Abstract: Polymeric materials have so many applications and character similar to flexibility, robustness and lightweight nature they are essential to a large variety of industries. Though, it is difficult to establish their tensile robustness appropriately, particularly in a variety of environmental situation. Provide a recommended Artificial Intelligence (AI)-integrated method to decide the issues of rapidly ascertaining the tensile robustness of the polymeric material. Using machine learning (ML), this study, predicted and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 90–97 Read article
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Vanity Plate Image Estimation of Moving Vehicles
Abstract: AbstractLicense plate recognition of automobile is concern and challenging exploration discussion thread from past little duration. It is a very important field in intelligent transportation systems (ITS). Many times, it would be very hard to recognize the proprietor of an automobile who disregards the commercial transportation law and is moving with a fast speed. The motto of license plate recognition (LPR) systems is to trace, segment and identify the vanity …
Published in Journal of Open Source Developments · Vol. 4, Issue 2, 2017 · pp. 19–27 Read article
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Identification and Categorization of Brain Tumors
Abstract: Brain tumors are a serious and aggressive disease that can lead to a reduced life expectancy. Strategic and well-thought-out treatment planning significantly contributes to improving a patient's overall quality of life. Many different imaging techniques, such as Magnetic Resonance Imaging (MRI), Computed Tomography (CT) and also ultrasound are used to evaluate tumors in different parts of the body, with a focus on using MRI images for brain tumors. It is …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 1, Issue 2, 2023 · pp. 32–37 Read article
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Classification and Detection of Brain Tumor using Convolutional Neural Network
Abstract: Tumors are masses created when brain cells multiply uncontrollably. A brain tumor is the medical term for this condition. Brain tumors are a serious and aggressive disease that can lead to a reduced life expectancy. Developing a treatment plan is essential to raising a patient's standard of living. Tumors in different regions of the body are evaluated using a variety of imaging techniques, with MRI pictures being utilized mostly for …
Published in International Journal of Cheminformatics · Vol. 1, Issue 1, 2023 · pp. 8–13 Read article
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Spectral Intuitionistic Fuzzy Hypergraph Operators and Dominance Kernels for Resilient Discrete Network Design
Abstract: A new discrete-mathematical framework is developed for resilient network design on intuitionistic fuzzy hypergraphs, where uncertainty is explicitly represented through membership, non-membership, and hesitation degrees associated with both vertices and hyperedges. These three components are systematically integrated into an effective incidence operator that captures the underlying uncertain relationships within complex hypergraph structures. Based on this operator, both un-normalised and normalized Laplacian matrices are formulated to characterize the spectral properties and …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 41–48 Read article
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Design and Implementation of SRFFT Algorithm Using Floating Point Arithmetic
Abstract: In this world, because of advancing in technology, there is a growing need for people to communicate with each other without delay. Speed is very important in all aspects. It can be improved by reducing arithmetic complexity. At the same time accuracy is also very important. In general, FFT/IFFT is used as a modulation/demodulation kernel in the OFDMsystem. Several techniques are introduced for FFT/IFFT like radix 2 FFT, radix 4 …
Published in Recent Trends in Parallel Computing · Vol. 3, Issue 2, 2016 · pp. 1–8 Read article
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Enhancing the Cloud Data Security Using Keeper Key and Kernel Tag
Abstract: Cloud computing is used everywhere in today's era. Around 80+ businesses are running on cloud computing. But security is also an important issue. Barley is a disease that can spread destructively, leading to significant damage. Attacks can be done in two ways. One of them may be from outside the server and this study will discuss an important topic. Brute force and signature threats are attacks that attack cloud servers …
Published in Journal of Advances in Shell Programming · Vol. 10, Issue 1, 2023 · pp. 35–46 Read article
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An Overview on VLSI based Hardware Security in IoT Node
Abstract: In the coming era, security will not be a feature we add to an IoT device; it will be a property inherent to its transistor-level design. By encoding security into the VLSI architecture, we move away from the fragile "software-only" paradigm and toward a future where the identity of the device is as immutable as the laws of physics. The rapid proliferation of Internet of Things (IoT) devices has transformed …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 4, Issue 1, 2026 Read article
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Empirical Analysis of Cache-Efficient In-place Matrix Transposition on Multicore Processors
Abstract: Performance and scalability of cache-efficient in-place matrix transposition algorithms has been experimentally evaluated in this paper. Cache-efficient in-place matrix transposition algorithms namely cache-aware and cache-oblivious are analyzed on multicore machines for performance and scalability. We propose low-level optimization for cache-efficient in-place matrix transposition and find the best configuration for them. The optimization of algorithms has been made by using efficient iterative kernel. The best tile size for cache-aware and best …
Published in Recent Trends in Parallel Computing · Vol. 6, Issue 2, 2019 · pp. 1–15 Read article
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Machine Learning-Based Structure–Property Quantification of Advanced Polymer Composites
Abstract: Advanced polymer composites are widely used in high-performance engineering due to their superior mechanical and multifunctional properties. Accurate structure–property quantification is essential for efficient material design and reducing experimental costs. Existing Machine Learning (ML) approaches often exhibit limited predictive generalization due to inadequate feature discrimination and suboptimal hyperparameter tuning. To address these limitations, the proposed method enhances the ability to capture the complex nonlinear interactions among composite structural descriptors. The …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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A Contribution to the Study of Geographical Displacement of Crime using GIS–Kings Cross, London
Abstract: Displacement of crime is the specter that haunts crime prevention studies, in that, the crime problem does not go away but shifts from one location to another. The fact that crime is not reduced in an area but rather moves around means that trying to change the situation and circumstances surrounding the targeted area may not fully reduce crime. Research that has been previously carried out into the study of …
Published in Journal of Remote Sensing & GIS · Vol. 4, Issue 3, 2013 · pp. 12–25 Read article
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Real-Time Edge Detection Camera Module Using Discrete Taylor Transform and Heat Equation (PDE): An Applied Mathematical Approach
Abstract: In modern digital signal processing, the capability for denoising and smoothing in real time is very important in scientific, engineering, and industrial applications. This paper presents an efficient hybrid framework that merges two mathematically sound methods, namely, DTT and PDE defined as the Heat Equation, to robustly denoise a signal with minimal distortion. The model addresses one of the most challenging tasks in signal restoration, which maintains the fidelity of …
Published in Current Trends in Signal Processing · Vol. 16, Issue 2, 2026 · pp. 9–14 Read article