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647 articles for “data engineering”
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A Comprehensive Food Delivery System
Abstract: The demand for quick as well as efficient food delivery options has escalated, especially in the digital era for sought-after items such as pizza. Existing systems often lack any real-time communication, and due to order status being uncertain, customer dissatisfaction subsequently arises. This project aims to develop a real-time pizza order tracker app using Node.js, Express.js, as well as MongoDB, to address these gaps by providing instant updates and a …
Published in Current Trends in Information Technology · Vol. 15, Issue 3, 2025 · pp. 01–10 Read article
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Application of TOPSIS Method for Selection of Best Natural Fiber for Retrofitting of Structure
Abstract: Selection of best natural fiber is multi-criteria decision problem including both quantitative and qualitative criteria. Decision-making problem is the process of finding the best option from all of the feasible alternatives. In this paper, from among multi-criteria models in making complex decision and multiple attribute models for the most preferable choice, technique for order preferences by similarity to ideal solution (TOPSIS) approach has been dealt with. Technique for TOPSIS is …
Published in Journal of Structural Engineering and Management · Vol. 2, Issue 3, 2015 · pp. 34–40 Read article
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Estimation of Aqueous Solubility of Tri-n-Butyl Phosphate by Refractive Index Measurement at 298.15 K
Abstract: Presence of dissolved tri-n-butyl phosphate (TBP) in the aqueous nitric acid solutions, can lead to runaway reactions in presence of nitric acid at temperature more than 130o C. Therefore, the concentration of dissolved TBP in the aqueous nitric solutions is an important control parameter for safe operation of product/waste evaporators. The experimental measurements of refractive index of six aqueous solutions of TBP in the range of 0-400 mg/L were performed …
Published in Journal of Nuclear Engineering & Technology · Vol. 5, Issue 2, 2015 · pp. 24–27 Read article
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AI-integrated Responsive Polymer Composites for Controlled Drug Delivery
Abstract: In the current biomedical engineering, it has been established that the development of smart drug delivery systems has become a paramount of relevance especially in ensuring precise, controlled and targeted therapeutic effects. This paper proposes a responsive polymer composite architecture with built-in AI, which is used to deliver drugs in a controlled manner and involves the development of advanced material design and predictive modeling based on data. Biocompatible materials and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Low-Grade Heat Recovery: Emerging Materials and Systems for Efficient Utilization
Abstract: Low-grade heat (LGH), generally characterized by temperatures below 200°C, constitutes a significant portion of wasted thermal energy in industrial, commercial, and even residential processes. Despite its vast availability, the efficient recovery and utilization of LGH remains underdeveloped due to its inherently low exergy content and the limitations of traditional heat recovery technologies. The creation of cutting-edge materials and creative system-level approaches for LGH recovery has accelerated significantly as companies continue …
Published in International Journal of Energy and Thermal Applications · Vol. 3, Issue 1, 2025 · pp. 24–29 Read article
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Deep Learning-Enhanced Polymer-Based Wearable Biosensors for Continuous Health Tracking via IoT
Abstract: The rapid proliferation of wearable biosensor technologies has transformed approaches to real-time health monitoring, yet challenges persist in achieving both mechanical robustness and reliable, continuous data analytics in dynamic environments. Conventional polymer-based sensing systems often fall short due to limited signal fidelity, inadequate adaptive analytics, or insufficient integration with secure, low-latency IoT frameworks. Addressing these deficiencies, this work introduces a flexible, deep learning-enhanced wearable biosensor platform that combines a nanostructured …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 18–31 Read article
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Neuromorphic Spiking Neural Networks and Event-Driven Hardware: Architectures, Learning Paradigms, and Experimental Realizations
Abstract: With the current computational boom the research community is seeking for more sustainable energy efficient i.e. biologically inspired models of conventional Artificial Neural Networks (ANNs). Spiking Neural Networks (SNNs) known as the third generation of neural network models, provide a revolutionary approach by mimicking the asynchronized event-driven and temporally accurate signaling of the mammalian brain. Whereas conventional deep learning models operate with real-valued activations and dense matrix multiplications, SNNs use …
Published in Current Trends in Signal Processing · Vol. 16, Issue 2, 2026 · pp. 39–46 Read article
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Artificial Intelligence for Polymer and Nanocomposite Materials: Performance Prediction, Manufacturing Optimization, and Future Perspectives
Abstract: The exceptional mechanical properties, design flexibility, and lightweight nature of polymer composite and nanocomposite materials make them indispensable in a wide range of applications, including aerospace, automotive, construction, biomedical, and energy sectors. The optimization of the strength, durability, and manufacturing efficiency of polymer composite and nanocomposite materials is highly challenging because their performance depends on matrix composition, reinforcement type, fiber or nanoparticle distribution, interfacial interactions, processing conditions, and environmental factors. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Software Testing and Assessment Measure for Fuzzy Logic
Abstract: Software testing is an important part of software development which is performed to support and enhance reliability and quality of software. It consists of estimating testing effort, selecting suitable test team, designing test cases, executing the software with those test cases and examining the results produced by these methods. This paper proposes fuzzy based approach for finding out the complexity weight based on requirement. Based on the weight, this paper …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 3, Issue 2, 2016 · pp. 7–14 Read article
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Dynamic Performance Enhancement of Polymer Composites through Metaheuristic machinining optimization
Abstract: This work aims to provide an optimization of meta-heuristic algorithms in order to improve the dynamic behavior of composite materials utilized in various practical engineering tasks. Based on the Comprehensive literature review it has been observed that composite sandwich panels with PVC foam cores accomplished mechanical characteristics superior than those ones that were produced on PU foam core mainly in flexural, compression, and impact tests Thus the study establishes the …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 114–129 Read article
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The Role of AI in Modern Circuit Design and Simulation
Abstract: The integration of artificial intelligence (AI) in circuit design and simulation is revolutionizing the electronics industry by enabling faster, more efficient, and innovative design processes. This article explores the transformative role of AI in automating tasks traditionally reliant on manual expertise, such as schematic generation, component optimization, and fault detection. It highlights how machine learning algorithms and generative AI tools are improving design accuracy, reducing time-to-market, and enabling cost-effective prototyping. …
Published in Journal of Semiconductor Devices and Circuits · Vol. 12, Issue 1, 2025 · pp. 9–14 Read article
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The Tech That Makes Space Travel Possible: From Earth to Orbit
Abstract: Space flight was once only a dream, but it has now become one of the most important achievements of modern science and engineering. This article looks at the technology that make it possible to travel from Earth to orbit, with a focus on the complex systems that make space missions safe, efficient, and repeatable. It looks at how rocket propulsion has changed throughout time, from classic chemical engines to new …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 15, Issue 1, 2026 · pp. 26–33 Read article
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Prediction of Human Heart Disease
Abstract: AbstractData mining techniques have been widely used in clinical decision support systems for prediction and diagnosis of various diseases with good accuracy. These techniques have been very effective in designing clinical support systems because of their ability to discover hidden patterns and relationships in medical data. One of the most important applications of such systems is in diagnosis of heart diseases because it is one of the leading causes of …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 6, Issue 2, 2019 · pp. 27–31 Read article
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VHDL Design of ARINC 429 Bus Protocol
Abstract: ARINC 429 is a data transfer standard for aircraft avionics which is also known as the Mark 33 DITS Specification (Digital Information Transfer System). It makes use of self-clocking and self-synchronizing techniques. ARINC-429 bus interface is used as a controlling function. It is a two-wire point-to-point serial data bus for control communications in Avionics. The bus operates at the speed of 100kb/sec; the ARINC429 is developed to provide interchangeability and …
Published in Journal of Aerospace Engineering & Technology · Vol. 6, Issue 2, 2016 · pp. 21–27 Read article
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Projections of Natural Absorption in Three-Dimensional Behind Phase into Turboprop Circulation
Abstract: Designed to enhance fuel-air mixing at supersonic speeds is one of the most difficult issues in the design of scramjet engine combustors. Various experiments and investigations were considered to boost fuel-air mixture in supersonic air streams. In this analysis, phase effects on transverse gaseous hydrogen injection into supersonic crossflow are examined numerically. Three-dimensional Reynolds Combined Navier-Stokes equations and k- sst turbulence model and perfect gas equation were numerically solved. Current …
Published in Journal of Aerospace Engineering & Technology · Vol. 10, Issue 2, 2020 · pp. 33–40 Read article
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Exploring Practical Applications of Artificial Neural Networks: A Review
Abstract: Computational models called artificial neural networks (ANNs) are modeled after the structure of the human brain. These models are designed to process information and learn from data. Artificial neural networks, or ANNs, are composed of interconnected artificial neurons layered to resemble the brain's neural network.. Through training, ANNs adjust the connections between neurons based on labeled data, enabling them to recognize patterns and perform specific tasks. Despite their efficacy in …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 2, 2024 · pp. 1–11 Read article
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Optimization of Lightweight Polymer Composites Using Finite Element Analysis Machine Learning and Topology Optimization Techniques for Aerospace Applications
Abstract: The advancement of aerospace engineering depends on lightweight polymer matrix composites (PMCs) because they help decrease weight while improving fuel efficiency and payload capacity together with increased structural integrity. Research developed a computer program comprising FEA with ANN and TO optimize high-performance PMCs through integrated design approaches. The combination of Python-controlled LS-DYNA simulations measured hybrid composite laminate resistance to impact while an ANN model obtained data from simulations to forecast …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 693–709 Read article
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A Review Paper of Automated Driving & ADAS Technologies
Abstract: Automated driving and Advanced Driver Assistance Systems (ADAS) are transforming road mobility, promising enhanced safety, improved traffic efficiency, and greater accessibility. This review presents a comprehensive synthesis of core technologies, system architectures, sensor modalities, perception and decision-making algorithms, and evaluation methodologies underpinning contemporary ADAS and automated driving. We provide a detailed discussion of the functional components—sensors (camera, radar, LiDAR, ultrasonic), localization, perception, prediction, planning, control, and human–machine interfaces—and how these …
Published in Journal of Automobile Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 1–8 Read article
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Skin Tone Detection Applies to User Secure Authentication Using Advanced Encryption Standard and Steganography
Abstract: Filtering of image content, compressing the content aware image and video applications of color balancing can advantage from automatic skin detection in the images. Biometric characteristics are used for usage of skin tone images region steganography. Here, significant information is implanted within the skin image region which will provide an outstanding data hiding secure location. For this, detection of skin tone is required to be performed. Various information hiding steps …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 3, Issue 2, 2016 · pp. 21–32 Read article
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Edge Computing: An Era of Advance Computations in Internet of Things
Abstract: AbstractWith the rapid increase in the demand of Internet of Things (IoT) users, centralized cloud computing model faces several issues such as delay in response, poor latency and network failure. To overcome these challenges, a new computing model is introduced known as edge computing that provides computations and processing at the edge of network. The edge computing provides processing of data and storage locally at the IoT devices available at …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 6, Issue 1, 2019 · pp. 13–17 Read article