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625 articles for “data engineering”
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Insights to Big Data and Hadoop: An Introductory Review
Abstract: AbstractIn today’s era, the availability of a plethora of online products like websites, web-portals, e-commerce sites, social-networking sites, etc. give rise to a collection of extremely large and complex dataset known as Big Data. It has emerged with a huge set of unknown prospects and challenges to deal with gigantic amount of data. Big Data has been extremely popular in current fast paced technologically advancing world and has become the …
Published in Journal of Communication Engineering & Systems · Vol. 9, Issue 2, 2019 · pp. 69–75 Read article
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AES Encryption and Hashing Used for Data Security on Amazon Web Services
Abstract: AbstractCloud computing is the conveyance of processing as an administration instead of an item, whereby shared assets, programming, and data are given to PCs and different gadgets as a utility (like the power framework) over a system (commonly the Internet). Mists can be named open, private or half breed. Distributed computing, or in easier shorthand, essentially “the cloud”, moreover focuses on opening up the ampleness of the regular resources. Cloud …
Published in Journal of Web Engineering & Technology · Vol. 4, Issue 2, 2017 · pp. 1–8 Read article
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Domain Specific Parallel Crawler Architecture
Abstract: The World Wide Web is an interlinked gathering of billions of reports organized utilizing HTML. Because of the developing and dynamic nature of the web, it has turned into a test to cross all URLs in the web archives and handle these URLs, so it has ended up basic to parallelize a creeping prepare. The crawler process is further being parallelized in the shape nature of crawler specialists that parallel …
Published in Recent Trends in Parallel Computing · Vol. 3, Issue 1, 2016 · pp. 17–21 Read article
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Technical Advances in Drone Applications for Environmental Surveillance
Abstract: Unmanned Aerial Vehicles (UAVs), or drones, have rapidly evolved into essential tools for environmental monitoring and conservation due to their advanced sensor integration, real-time data acquisition, and autonomous operational capabilities. This review explores the multidisciplinary convergence of drone technologies with environmental science, emphasizing the technical and engineering aspects that drive these applications. The study outlines key UAV system components—including multispectral and hyperspectral imaging, LiDAR, thermal sensing, and real-time GPS-AI integration—highlighting …
Published in International Journal on Drones · Vol. 1, Issue 2, 2025 · pp. 14–20 Read article
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Reverse Engineering and CFD Analysis of Carburetor
Abstract: AbstractA carburetor is a mechanical device that provides necessary support to the superstructure of an internal combustion engine. The function of the carburetor is to mixes the air and fuel for internal combustion engine. A carburetor is used in the two wheeler vehicle. The development of carburetor through conventional manufacturing got many challenges to complexity in design geometry and high competitions in industry due to cost management. Hence a study …
Published in Recent Trends in Fluid Mechanics · Vol. 5, Issue 3, 2018 · pp. 22–32 Read article
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AI Driven IoT Based Decision Making System for Brain wave study: KSK approach for Brain wave study
Abstract: The rapid convergence of Internet of Things (IoT) architectures and deep learning has unlocked unprecedented potential for real-time neuro-diagnostic monitoring. This paper presents a novel framework for an AI-driven IoT ecosystem designed to capture, transmit, and interpret human electroencephalography (EEG) signals with minimal latency. Traditional brain-computer interface (BCI) studies are often constrained by localized computing power and the high dimensionality of neural data. Our proposed architecture integrates low-power EEG sensors …
Published in International Journal of Brain Sciences · Vol. 3, Issue 2, 2026 Read article
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A Survey on Various Layers of Wireless Sensor Networks
Abstract: A wireless sensor network (WSN) consists of one or more sinks and large number of sensor nodes scattered in an area. WSNs have a tremendous potential to improve the efficiency of many systems, for instance, in building automation, Military applications, environment monitoring and process control. Recent advances in wireless communications and electronics have enabled the development of low-cost, low-power, self-organizational, multifunctional wireless sensor networks. WSNs have some problems to be …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 2, Issue 2, 2015 · pp. 1–9 Read article
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Thermal Analysis and Computer Aided Exhaust Valve Design Automation Using CREO and Microsoft Excel Spreadsheet
Abstract: 3D modeling has widely been used because of their ease in visualization, understanding andgeneration of manufacturing drawing sheets compared to 2D drafting. 3D Modeling is the timeconsumingprocess and many draftsmen does not have the skill to draw a 3D object inside a CADpackages. Internal combustion engine consists of two type of valves inlet valve and exhaust valve. Thepair of inlet and exhaust valve is called as poppet valves. Exhaust valve …
Published in Trends in Machine design · Vol. 8, Issue 1, 2021 · pp. 26–41 Read article
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Scaling of Machine Learning Techniques in Medical Imagining and Biomedical Applications Concerning Healthcare
Abstract: Machine learning refers to a field within computer science enabling computers to learn without explicit programming. Stemming from artificial intelligence's study of pattern recognition and computational learning theory, machine learning develops algorithms capable of learning from vast datasets and making predictions. Its applications span diverse computing tasks like email filtering, network intrusion detection, optical character recognition, and computer vision, where conventional algorithm design proves challenging. Notably, in computer vision, a …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 1, 2024 · pp. 41–44 Read article
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Remapping of ECU Engine (KTM 390)
Abstract: Modern engines in automobile industry are controlled digitally with the help of engine management unit (EMU) which is programmed with the help of engine dyno manually to get the desired power, efficiency. Emissions Engine map of a four cylinder engine is tuned with the help of algorithm by using engine dynamometer as well as EMU, engine speed and throttle position is obtained by algorithm of air fuel ratio to obtain …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 7, Issue 2, 2020 · pp. 26–28 Read article
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Quality of Work Life: Perception of Employees in Private Technical Educational Institutions in Bhopal, Madhya Pradesh
Abstract: The success and survival of any organization depends upon the potential and motivation of the employees working in it. Several research studies in the world have measured the quality of work of employees in industries, universities, government and nongovernment organizations. This study helps to know the quality of work life of the employees working in private technical educational institutions in Bhopal M.P. This study also highlights the overview of quality …
Published in E-Commerce for Future & Trends · Vol. 7, Issue 2, 2020 · pp. 24–45 Read article
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Data-Driven Material Design and Performance Improvement: Constructing Sustainable Polymer Nanocomposites Using Deep Learning
Abstract: In the formation of sustainable polymer nanocomposites, the effective material techniques are required to balance the mechanical qualities, environmental compatibility and processing efficiency. The optimization of polymer matrix, nanofiller loading, processing conditions and material properties is typically time consuming, resource intensive and highly dependent on trial-error methodology using standard experimental techniques. The present work provides a data-driven approach that combines deep learning with sustainable polymer nanocomposite design for predicting and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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A Study to Evaluate the Knowledge of Menstrual Cups Among Engineering Students at Selected Colleges in Kuppam, Andhra Pradesh
Abstract: Background and Aims:Menstrual cups are an eco-friendly and cost-effective alternative to sanitary pads, yet they have not gained widespread popularity among Indian women. This study aims to evaluate the knowledge of menstrual cups among engineering students at selected colleges in Kuppam, Andhra Pradesh, to better understand awareness and acceptance of this alternative menstrual product. Materials and Methods: A cross-sectional descriptive research design was employed. A total of 143 engineering students …
Published in International Journal of Women's Health Nursing And Practices · Vol. 2, Issue 2, 2024 · pp. 45–52 Read article
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Robotics and Automation in Mechanical Engineering: Transforming Modern Manufacturing Systems
Abstract: Robotics and automation have significantly transformed mechanical engineering, particularly in manufacturing, precision assembly, and intelligent systems integration. With the advancement of sensors, control systems, artificial intelligence, and mechatronics, robotic systems are now capable of performing complex tasks with high accuracy, repeatability, and efficiency. This article explores the role of robotics in modern mechanical applications, including industrial automation, collaborative robots, predictive maintenance, and smart manufacturing. It also discusses design considerations, challenges, …
Published in International Journal of Manufacturing and Production Engineering · Vol. 4, Issue 1, 2026 · pp. 27–33 Read article
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Develop the Design of Sustainable Polymer Materials: Applying Reinforcement Learning, IoT-Enabled Monitoring, and Data-Driven Manufacturing Approaches
Abstract: Sustainable polymer materials development is a must due to resource constraints, environmental concerns, and the demand for designed materials with high performance. When it comes to material optimization, energy utilization, process unpredictability, and lifecycle sustainability, traditional polymer production methods have their challenges. Reinforcement Learning (RL), Internet of Things (IoT) monitoring, and data-driven production are utilized in the design and manufacturing of sustainable polymer materials. It is recommended to use Internet …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1207–1231 Read article
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Crypto Talk Voice Shield: Secure Speech Communication System Using Arduino
Abstract: In the rapidly evolving landscape of communication security, this study presents a system designed around Arduino Uno technology, specifically engineered for the secure encoding, transmission, and decoding of speech data. By integrating advanced encryption algorithms, the system ensures that speech data is transmitted in segmented bit chunks, each enveloped in multiple layers of security to prevent unauthorized access or interception. This multi-tiered encryption approach establishes a highly secure communication channel, …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 13, Issue 1, 2025 · pp. 23–30 Read article
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Nanoparticles in Cutting-edge Healthcare: Current Use and Emerging Issues
Abstract: Nanoparticles are sub-micron-sized particles (less than 100 nm on average). Using these materials as contrast agents in imaging and as carriers for medication and gene transfer into malignancies has given them a prominent place in contemporary medicine. Nanoparticles allow for previously inconceivable levels of analysis and therapy. However, nanoparticles provide new societal and environmental challenges, especially regarding toxicity. In this overview, we discuss how nanoparticles have benefited contemporary medicine and …
Published in Journal of Polymer & Composites · Vol. 11, Issue 3, 2023 · pp. 105–118 Read article
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Developing Metadata Schema for Traditional Medicinal Knowledge (TMK) from Maharashtra, India
Abstract: Around hundred indigenous communities are there in Maharashtra. For their day to day activities they make use of traditional knowledge. Many of them are using their Traditional Medicinal Knowledge (TMK) for curing different disease. Due to benefits of this TMK, many have started to collect, recording, storing and documenting it into a digital format. There is no specific metadata schema for describing digital data of TMK. There are many metadata …
Published in Journal of Advancements in Library Sciences · Vol. 7, Issue 2, 2020 · pp. 30–39 Read article
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Applications of Artificial Neural Network in Construction Engineering and Management: An Academic Literature Review and Direction for Future Research
Abstract: One of the artificial intelligence topics is artificial neural network in whichdata processing system is the idea of the human brain.The cause of processing data is many processorsthat treat in parallel form in order to solve the problem.The applications of artificial neural network with neuron model and different network architecture can be used to estimate, predict and modelling of complex problems in construction management. In order to bridge the gap …
Published in Journal of Construction Engineering, Technology & Management · Vol. 6, Issue 1, 2016 · pp. 24–38 Read article
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Predictive Maintenance Strategies for Safety-critical Mechanical Systems
Abstract: Ensuring the reliability and safety of industrial systems is essential, especially in high-risk sectors such as aerospace, manufacturing, and energy. Predictive maintenance (PdM) has become a crucial approach for minimizing operational failures and improving maintenance efficiency. This research introduces an advanced PdM framework that enhances industrial safety by integrating Internet of Things (IoT) technology, machine learning (ML), and big data analytics. By enabling real-time monitoring and predictive fault detection, this …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 1, 2025 · pp. 12–17 Read article