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365 articles for “Data reduction”
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Proposal of System for High Efficiency Energy Extraction from LNG and Study of Use of EGR and SCR System in Ships
Abstract: The paper focuses on the green shipping methodologies and environment friendly practices. Liquefied natural gas (LNG) is one of the most effective alternatives to traditional shipping fuels. Ports have LNG re-gasification systems, which generally use Open Rack Vaporizers (ORVs) to convert the LNG to NG. In this process, a lot of the ‘cold energy’ is lost. A proposal for a LNG re-gasification system has been made in this paper which …
Published in Journal of Offshore Structure and Technology Read article
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To Develop Efficient and Time Effective Search Model for Comparing Nucleotide Sequences with Database
Abstract: AbstractSearching of gene from their database is an important and common practice in various studies related to identification of similar genes against a query gene sequence. Our objective was to develop a faster search model by partitioning search space which is only possible through the numerical representation of genes that will satisfy test of reliability, uniqueness and speed required for this purpose. The result showed promise in speedier identification of …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 4, Issue 2, 2017 · pp. 24–27 Read article
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PAPR Reduction using Selective Mapping Method for OFDM Communication Systems
Abstract: AbstractSelective mapping method (SLM) is one of the most important techniques used for peak-to-average power ratio (PAPR) reduction of orthogonal frequency division multiplexing (OFDM) communication system. It is simple in implementation, gives distortionless transmission and reduces PAPR significantly. Mathematical modelling and Matlab simulation have been carried out to analyse its performances. At of CCDF, PAPR values for OFDM signal without applying any reduction technique is 11.5, 11.8, 12.1, 12.4 and …
Published in Journal of Communication Engineering & Systems · Vol. 5, Issue 3, 2015 · pp. 50–57 Read article
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A Hybrid model of ResNet50 integrated U-Net for image Denoising for Polymer and Composite Microstructure Analysis
Abstract: In digital era a high-quality imaging plays a very important role in polymer and composite material characterization features such as fiber-matrix interfaces, voids, microcracks cause problems in mechanical and functional properties. Polymer imaging includes optical microscopy and scanning electron microscopy, due to sensor limitation, environmental conditions add noise to the image and reduce quality of image. The noise degrades image quality, and it leads to reduce reliability in material analysis. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 592–602 Read article
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Data Aggregation in Wireless Multimedia Sensor Network: A Survey
Abstract: AbstractWireless Multimedia Sensor Network (WMSN) is a new, rapidly developing sensor network having scope beyond our understanding. It basically comprises sensor nodes embedded with cameras, microphones, and other sensors producing multimedia content. As the resources are limited, minimizing the volume of data traffic in sensor networks becomes critical and crucial both at the same time, in order to tackle this problem the reduction in amount of data required to be …
Published in Recent Trends in Sensor Research & Technology · Vol. 5, Issue 2, 2018 · pp. 6–11 Read article
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Computation of the Necking in Bars Without Geometrical Imperfection
Abstract: This paper presents a finite element analysis to compute the neck profiles of smooth, circular cylindrical bars in shear-free grip under uniaxial tensile load. The analysis uses 4-node quadrilateral element with linear displacement variation, as well as 8-node Serendipity quadrilateral element with curved sides and a quadratic variation of the displacement field, for power law hardening materials that follow von Mises plasticity. All the elements are based on isoparametric formulation. …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 2, Issue 2, 2024 · pp. 10–19 Read article
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New Design Formulae for Safety and Precision in the Fatigue Engineering of Mechanical Components and Structures
Abstract: This paper introduces two new formulae, termed the Nori Fatigue Formulae, for determining the maximum allowable fatigue stress in mechanical components and structures with significant stress concentrations. These formulae will eliminate the usage of code-sensitive safety factors along with other factored values from the entire mechanical design engineering work, ranging from a safety pin to spacecraft. The first formula gives the maximum allowable fatigue stress in tension, and the second …
Published in Trends in Mechanical Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 6–22 Read article
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A Review Paper on The Mathematical Foundations of Artificial Intelligence
Abstract: Artificial Intelligence (AI) is deeply rooted in various branches of mathematics, which provide the theoretical foundation and practical tools for developing intelligent systems. This paper explores the crucial role of mathematics in AI, focusing on key areas such as Linear Algebra, Probability and Statistics, Optimization Techniques, Calculus, Graph Theory, and Fourier and Wavelet Transforms. Linear Algebra is fundamental for representing and manipulating data, with applications in dimensionality reduction and neural …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 12, Issue 3, 2025 · pp. 7–14 Read article
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Enhancing the User Experience of Asthma Inhalers: A Redesign Approach
Abstract: Asthma is a widespread chronic respiratory condition impacting millions globally, presenting significant challenges in its management and treatment. While conventional inhalers effectively administer medication, they often encounter usability issues, hindering patient adherence and treatment outcomes. This abstract delineates the development and potential impact of a redesigned asthma inhaler aimed at addressing these challenges. Incorporating human-centered design principles, the revamped inhaler prioritizes usability, portability, and effectiveness to enhance the overall management …
Published in International Journal of Solid State Innovations & Research · Vol. 1, Issue 2, 2023 · pp. 32–36 Read article
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A study in Leveraging Deep Learning and IoT Arrays for Dynamic, Hyper-Local Atmospheric Intelligence
Abstract: The critical demand for high-resolution, actionable atmospheric data is challenged by the high cost and sparse coverage of traditional regulatory monitoring stations. This paper explores the synergistic paradigm shift enabled by integrating low-cost, dense Internet of Things (IoT) sensor arrays with advanced Artificial Intelligence (AI) methodologies, specifically Deep Learning (DL) models. We address the primary limitations of low-cost sensors—inherent bias, sensitivity to environmental drift (temperature/humidity), and calibration inconsistency—by utilizing AI …
Published in International Journal of Atmosphere · Vol. 2, Issue 2, 2025 · pp. 50–62 Read article
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Review Paper on Static and Dynamic Power Dissipation of Novel CMOS SRAM Cell
Abstract: VLSI design is persistently demanding for ultra-low power efficient and data stability solution. This review paper studies and analyses about various techniques to reduce leakage and dynamic power dissipation. Sleepy keeper approach, super cutoff mode, NTC method, dual-threshold approach, quiet-bitline and single bitline architecture are discussed for the power reduction. Sleepy keeper, NTC and dual-threshold approach are focused for high data stability and performance. Quite bitline architecture SRAM saves overall …
Published in Journal of VLSI Design Tools and Technology · Vol. 6, Issue 1, 2016 · pp. 73–77 Read article
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Research on Energy in Cloud Computing
Abstract: One of the most recent technologies is 'Cloud Computing,' which has grown rapidly in recent years with the goal of delivering computing as a utility. This is not an easy task of fulfilling this technological demand. The infrastructure required to support Cloud Computing is a very large data centre with a large volume of data, a large number of servers, and various other related hardware. Several companies are investing in …
Published in Journal of Operating Systems Development & Trends · Vol. 8, Issue 3, 2021 · pp. 28–33 Read article
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Survey Based Study of OFDM System and PAPR Reduction Techniques
Abstract: The need of Modern wireless communication is achieving high data transmission rate and its robustness against multipath fading & good spectral efficiency MIMO-OFDM system is popular because it provides reliable communication & wide coverage. Orthogonal Frequency Division Multiplexing is a multicarrier modulation technique which is prime choice for high data rate application. To improve performance of OFDM we use various techniques such as channel estimation, signal detection, frequency offset estimation …
Published in Recent Trends in Electronics Communication Systems · Vol. 1, Issue 1, 2014 · pp. 32–36 Read article
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Enhancement in Biomedical Polymer Nanocomposites: Biocompatibility and Mechanical Property Predictions using Machine Learning
Abstract: A machine learning (ML)-based framework is developed and validated through experimental analysis and comparative modeling to enhance system dependability and improve prediction performance. The proposed framework includes key stages such as data preprocessing, feature evaluation, model training, and performance benchmarking to determine the most effective prediction technique. Several machine learning models were evaluated, including Ensemble models, Artificial Neural Networks (ANN), Decision Tree (DT), Random Forest (RF), Support Vector Machine (SVM), …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 275–296 Read article
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A Review of Code Defect Likelihood Using ML Methods
Abstract: AbstractSoftware begets defects and defects are inevitable in software design and coding. This paper focused on five machine learning analysis models (MLAM); Support Vector Machine, Random Forest, K-Nearest Neighbor, Classification and Regression Tree, and Linear Discriminant Analysis. These models are trained to detect software defects using the software defect dataset from Promise data repository. The collected dataset is preprocessed to reduce the amount of redundant features using a dimension reduction …
Published in Journal of Open Source Developments · Vol. 7, Issue 3, 2020 · pp. 1–6 Read article
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Clinical study on dual plating for delayed unions and nonunions of distal 1/3 and diaphyseal-metaphyseal transition of humerus
Abstract: Background: The best treatment for delayed union and non-union at distal 1/3 and metaphyseal-diaphyseal transition of humerus is not well established. We collected retrospective and prospective outcomes data for patients undergoing open reduction and internal fixation for delayed union and non-union of distal 1/3 and metaphyseal-diaphyseal transition of humerus with use of conventional mono-lateral or dual plating. Methods and Material: Over a 2-year period, 35 patients underwent open reduction and …
Published in Research and Reviews : Journal of Surgery · Vol. 9, Issue 2, 2020 · pp. 10–15 Read article
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Kumkuma Nasya for Migraine: Randomized Double-blind Study with an Insight into Vatavriddhi and Caloric Values
Abstract: Introduction: Ardhavbhedaka Roga of Ayurveda can be correlated with migraine. Exaggeration of Vata plays the most important role in the pathogenesis of pain. We used a model of low caloric values, as it is suitable and conclusive for the assessment of Vatavriddhi. As per Sharangadhar Samhita, Kumkuma (saffron) Nasya (nasal administration) is said to be effective in Ardhavabhedaka (migraine), owing to the exaggerated of Vata and Rakta. Aim: Therefore, this …
Published in Research & Reviews : Journal of Herbal Science · Vol. 11, Issue 1, 2022 · pp. 36–44 Read article
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Retina Recognition System using PCA-based Discrete Hidden Markov Model
Abstract: In this paper, a unique approach of retina recognition system has been proposed. Principal component analysis based dimensionality reduction technique has been used here and discrete hidden Markov model (DHMM) has been applied to classify the retinal images. The retinal images are taken from DRIVE retina database. Then some image pre-processing techniques such as image scaling, median filtering-based noise reduction and edge-detection techniques have been used to ready the retinal …
Published in Journal Of Network security · Vol. 3, Issue 1, 2015 · pp. 28–32 Read article
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Traffic Volume and Accidental Analysis of Blackspot Chogitti Intersection: A Quantitative and Qualitative Approach
Abstract: There is increase in number of accidents worldwide especially at accident-prone areas known as ‘Blackspots’. The specific case taken here is of Jalandhar city’s blackspot Chogitti intersection. The research intent to find out what are the reasons that contribute in formation of blackspots alongside ways to eliminate them, which forms central question/problem. There is need of this study because of alarming rate of increase of accidents, which is evident from …
Published in Journal of Open Source Developments · Vol. 7, Issue 1, 2020 · pp. 24–32 Read article
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Experimental and Simulation Study on Reduction Kinetics of Magnetite Ore by using Hydrogen
Abstract: In the present work, magnetite ore fines pellets were prepared for a study of reduction kinetics using hydrogen gas. In the present work, various parameters are investigated to assess their influence on reduction kinetics with respect to hydrogen utilisation. The different input variables influence the process, yielding the reduction fraction. The effect of temperature on reduction kinetics with hydrogen flow rate was explored for the optimum value of these parameters. …
Published in Journal of Materials & Metallurgical Engineering · Vol. 16, Issue 1, 2026 · pp. 71–81 Read article