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365 articles for “Data reduction”
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Sustainable Supply Chain Models for Polymer and Composite Manufacturing: A Data-Driven Assessment of Circular Material Flows
Abstract: Polymer and composite manufacturing is faced with growing demands in waste reduction, resource management, and making a shift towards circular economy principles. Although urgent, the adoption of data-driven tools in each step of a supply chain to facilitate efficient cyclic material flows is low. This paper designs and empirically analyzes sustainable supply chain design in polymer and composite production with a focus on digital traceability, closed-loop and material recovery, and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 54–71 Read article
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Phase Noise Reduction in WLAN by Applying Wavelet Packet Multiplexing
Abstract: The IEEE 802.11 standards for wireless Local Area Networks (LANs) commercialized as Wi-Fi are deployed in office and home environments. These systems provide data rates up to 1300 Mbps at 5 GHz and 400 Mbps at 2.4 GHz with physical layer based on OFDM and MIMOOFDM. Traditionally, multiplexing in OFDM is realized using static orthogonal waveforms derived from Fourier transforms. The decoding of the data at receiver is based on …
Published in Journal of Communication Engineering & Systems · Vol. 7, Issue 3, 2017 · pp. 8–15 Read article
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Optimized Machine Learning Framework for Battery State Prediction in Smart Charging Systems
Abstract: Good estimation of battery states, including State-of-Charge (SoC), State-of-Health (SoH), and Remaining Useful Life (RUL), are important in managing energy wisely and controlling the adaptive charging. This work introduces a streamlined machine learning model based on the ability to use multi-dimensional sensor measurements in terms of voltage, current, temperature, and cycle number to forecast battery conditions with high accuracy. Decent preprocessing, such as noise elimination, feature scaling, and calculated features, …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 55–66 Read article
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Autonomous Agentic AI for Adaptive Cure Optimization and Defect Prevention in Thermoset Polymer Composite Manufacturing
Abstract: Thermoset polymer composites occupy a central position in modern structural manufacturing, from aircraft fuselages to wind-turbine blades. Despite progress in resin chemistry and fiber architecture, the “cure process” that transforms compliant preforms into load-bearing structures remains difficult to manage. Manufacturers encounter ‘voids’, “interlaminar delaminations”, and “spring-back distortion” when curing complex or thick-section parts. The cause is not ignorance of the relevant physics, but rather that ‘temperature’, ‘chemistry’, ‘rheology’, and ‘mechanics’ …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 301–320 Read article
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From Baseline Survey to Management Plan: A Systematic Framework for Port-Specific Mitigation of Underwater Radiated Noise
Abstract: The growing recognition of underwater radiated noise (URN) as a significant marine pollutant necessitates the development of actionable management frameworks at the port level, where noise sources are concentrated, and impacts can be particularly acute. While international guidelines exist, a standardized methodology for ports to transition from assessment to implementation is lacking, particularly in regions with high biodiversity and developing maritime infrastructure. This paper presents and demonstrates a systematic, four-phase …
Published in Journal of Offshore Structure and Technology · Vol. 13, Issue 1, 2026 · pp. 22–30 Read article
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Designing of OFDM and FBMC System using QAM and QPSK Modulation Technique
Abstract: AbstractThe Fourth generation (4G) and Fifth generation (5G) are the new evolution of the mobile communication system. The fourth generation had been launched in almost all countries and the 5G is very soon launched in many countries. In India, the 5G is launched in the years of 2020s. In this article, we hut the light on the potential and implementation on the multicarrier technology system which is the 5G based …
Published in Journal of Electronic Design Technology · Vol. 9, Issue 3, 2018 · pp. 24–29 Read article
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Smart Grid Energy Saving Technique Using Machine Learning
Abstract: The energy authorities provided the computation at reasonable rates for straightforward congestion management. By giving the specific information needed for energy use that is aimed towards client demands, the microgrid enables significant energy cost reductions & better power cash reserves. Processing data and producing predictions for a developing electrical system would be difficult, nevertheless, given the analysis that has been done and the population's characteristics. A Deep Learning (DL) Electricity …
Published in Journal of Instrumentation Technology & Innovations · Vol. 12, Issue 3, 2022 · pp. 1–10 Read article
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Passenger car fuel economy: Insights from big data analytics
Abstract: The increasing availability of real-world vehicle telematics through On-Board Diagnostics II (OBD-II) systems has enabled data-driven evaluation of passenger car fuel economy beyond conventional laboratory-based test cycles. While standardized certification procedures ensure repeatability, they often fail to capture the influence of real-world traffic conditions, driver behaviour, and transient vehicle operation. This study presents a structured Big Data Analytics (BDA) approach for analysing high-frequency OBD-II data collected from a gasoline passenger …
Published in Journal of Automobile Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 9–21 Read article
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Dynamic Skip-Layer Trees: A Novel Data Structure for Efficient Multi-level IoT Data Processing in Smart Cities
Abstract: This paper introduces dynamic skip-layer trees (DSLTs), a novel hierarchical data structure specifically designed for processing and managing multi-layered Internet of Things (IoT) sensor data in smart city environments. DSLTs extend the traditional skip list concept by incorporating dynamic layer adjustment and spatial awareness, enabling efficient querying and updates across various geographical and temporal dimensions. Our experimental results demonstrate that DSLTs achieve up to 40% faster query processing and a …
Published in International Journal of Data Structure Studies · Vol. 2, Issue 2, 2024 · pp. 11–21 Read article
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Comparative Analysis of Supervised Learning Algorithms for the Traffic Accident Prediction Under Rural and Urban Areas
Abstract: The features of different mechanisms for safety to traffic accidents are the biggest challenge for the automobile manufacturing industry in rural and urban areas. The objective of this work is to address the challenge of safety in traffic accidents by developing an accurate prediction model for identifying patterns in the different scenarios for preventing traffic accidents using accurate prediction. The machine learning algorithm is used to easily predict the traffic …
Published in Journal of Advancements in Robotics · Vol. 10, Issue 3, 2023 · pp. 20–27 Read article
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Quantum Data Harmonization: Resolving Disparate Information Realms with AI-driven Data Science
Abstract: The proliferation of heterogeneous data structures across fragmented information systems hampers insights derivation necessitating harmonization methodologies reconciling multidimensional datasets for collective analytics. This article reviews quantum techniques leveraging qubit superposition for probabilistic data transformations as a novel data harmonization paradigm tailored for varied schemas commonly confronting interdisciplinary analyses spanning healthcare, finance and environmental domains. Hybrid quantum-classical algorithms and AI-based automation workflows hold promise coordinating dispersed data pools through learned mappings …
Published in Journal of Advances in Shell Programming · Vol. 10, Issue 2, 2023 · pp. 34–38 Read article
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Studies on Flow of Emulsified Crude Oil through Horizontal Pipelines
Abstract: The experiments were carried out in a 1 in horizontal pipe to study the effect of water content on pressure drop during the flow of crude oil at different flow rates and temperature conditions. Crude oil collected from the North Santhal city (Mehsana) was used as test fluid. The experiments were conducted to understand the influence of the water content and temperature at different flow rates. Triton X-100 (TX-100) was …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 7, Issue 1, 2016 · pp. 82–90 Read article
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SmartCloud: Extending an AI-Powered Cloud Storage System with Automated S3 Glacier Archiving, SimHash Near-Duplicate Detection, and a Custom-Trained Random Forest Recommendation Engine
Abstract: Cloud storage services have become fundamental infrastructure for both individuals and organizations, yet they continue to charge users for every byte retained without offering any mechanism to automatically reduce that footprint over time. Files accumulate progressively, near-identical document revisions go undetected, and cold data occupies expensive active storage tiers indefinitely. The present work introduces SmartCloud, a fully deployed multi-cloud storage optimization platform that addresses these inefficiencies through four integrated engineering …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 13, Issue 2, 2026 · pp. 36–44 Read article
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Dynamic Modeling and Simulation of Multi-Body Mechanical Systems: A Comprehensive Review of Methods, Tools, and Applications
Abstract: The dynamic modeling and simulation of multi-body mechanical systems (MBS) form a cornerstone in modern mechanical engineering, enabling in-depth analysis of the kinematic and kinetic behaviors of interconnected rigid and flexible components. MBS are foundational to a range of critical applications, from automotive suspensions and aerospace mechanisms to robotics and biomechanical structures. As system complexity and performance requirements increase, accurate and scalable modeling techniques are essential for both design validation …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 3, Issue 1, 2025 · pp. 35–42 Read article
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Greener 3D Printing: The Role of Artificial Intelligence in Sustainable Polymer and Composite Manufacturing
Abstract: The integration of sustainable materials with additive manufacturing (AM) technologies marks a significant step towards environmentally responsible production. Biodegradable polymers, recycled thermoplastics, and bio-based composites, when used in 3D printing, offer the potential to reduce the ecological footprint of manufacturing. However optimizing the interplay between material properties process parameters, and product performance remains a complex challenge. This review examines how artificial intelligence (AI) is being applied to address these challenges …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 288–300 Read article
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Role of Virtualization in Cloud Computing
Abstract: Appropriate arithmetic in cloud computing is rapidly expanding, and there is no doubt that it is the front-line advancement that people will use at any time and in any place. IT is being developed today through hazes with virtualization. Disengaged from its notoriety, it has two or three businesses that are turning into bundles for its dynamically wide assembling. As of now, the study has been made on virtualization concerns. …
Published in Recent Trends in Parallel Computing · Vol. 9, Issue 1, 2022 · pp. 7–13 Read article
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Optimization of Supply Chain Management Cost Reduction and Delivery Time Improvement
Abstract: Management of the supply chain is vital for every company's success. Businesses can cut expenses and speed up delivery by effectively regulating the flow of goods and services. In this study, we will explore the various strategies and best practices in supply chain management that can help achieve these objectives. We will delve into the importance of efficient sourcing, inventory management, and logistics to streamline operations and optimize the supply …
Published in Journal of Production Research & Management · Vol. 15, Issue 1, 2025 · pp. 15–21 Read article
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Block SLM Scheme for Efficient PAPR Reduction in OFDM Systems
Abstract: AbstractOrthogonal frequency division multiplexing (OFDM) is an attractive technique due to its high-speed data transmission and robustness for time-selective channels. However, the major drawback of OFDM system is high peak-to-average power ratio (PAPR). In this paper, two PAPR reduction schemes have been introduced; one is conventional selected mapping (SLM) scheme and a new proposed block selected mapping (BSLM) scheme to obtain PAPR reduction performance in OFDM system. In the proposed …
Published in Journal of Communication Engineering & Systems · Vol. 3, Issue 3, 2013 · pp. 10–16 Read article
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Temperature Characteristics of Semi-Transparent Photovoltaic Module in a ventilated double pane window system
Abstract: This work presents the analysis of surface temperature characteristics of Semi-Transparent Solar Photovoltaic (STSPV) module integrated double pane window systems. The four systems are investigated with three types of air ventilation arrangements and a non-ventilation provision. The whole building simulation software EnrgyPlus and WINDOW 7.3 have been used to generate and analyze the required data. The focal points of the analysis include reduction in SPV module temperature and maintenance of …
Published in Recent Trends in Civil Engineering & Technology · Vol. 12, Issue 1, 2022 · pp. 1–10 Read article
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Time Series Forecasting of Electricity Consumption: A Comparative Analysis of ARIMA and SARIMA Models
Abstract: Accurate electricity demand forecasting plays a vital role in energy planning, efficient power system operation, and sustainable resource management. This study conducts a comparative evaluation of the Autoregressive Integrated Moving Average (ARIMA) and Seasonal Autoregressive Integrated Moving Average (SARIMA) models using ten years of monthly electricity consumption data collected from a national electricity regulatory authority. The performance of both models is assessed using forecasting accuracy metrics, including Mean Absolute Error …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 2, 2026 · pp. 43–53 Read article