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1888 articles for “data processing’s” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Modeling and Acoustic Analysis of Noise Vibration in Automotive Gearbox by Non-destructive Testing
Abstract: A gearbox is used for transferring power from the engine to the wheels. Predicting the vibration and noise radiation from a dynamic system like a gearbox gives designers an insight early in the design process. It was conducted experimental and modeling of vibration and noise for magnitude and pressure level variations in a Peugeot 206 automotive 5-speed gearbox. It was extract vibration data related to different periodic processing and then …
Published in Journal of Experimental & Applied Mechanics · Vol. 11, Issue 3, 2020 · pp. 54–63 Read article
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Groundwater Darcy Velocity from underground Temperature: A Focus on the City of Turin (NW Italy)
Abstract: We report on an application of a methodology for inferring water transfer in a shallow aquifer by using analytical models of interpretation of heat transport by advection and conduction in permeable horizons. In this research, we highlight as the statistical interpretation of thermal data is a tool to obtain a quantitative estimation of the horizontal component of the Darcy velocity in a shallow aquifer. This study is based on the …
Published in Journal of Water Resource Engineering and Management · Vol. 8, Issue 3, 2021 · pp. 19–29 Read article
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Hypothesis Testing and Life Expectancy: A Review
Abstract: Data science revolves around the idea of making moves/choices on the basis of past information available. However, data in itself is a broader term. There is raw data, which is collected by using survey and other methods, it may contain the information we need, but it also contains various other non-required information which is removed from the raw data by processing it. The data now recovered is vital information. Data …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 9, Issue 3, 2022 · pp. 21–30 Read article
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Data Extraction Using NLP for Unstructured Text Categorization
Abstract: Abstract In this research project, I tried to crawl the web and files to create a dataset so that it can be fetched to FRL (Fuzzy rough set-based semi-supervised learning algorithm). The approach used in the project is with the help of semi-supervised learning that made use of unlabeled data for training typically a small amount of labeled data with a large amount of unlabeled data. We de ne and …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 4, Issue 3, 2017 · pp. 30–39 Read article
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A Simple, Compact, and Power-Efficient Current-Mode Decimal Adder Circuit
Abstract: A size and power efficient current-mode decimal adder is proposed in this paper. The proposed adder does not use binary coded decimal (BCD) number system for processing the decimal data like other decimal adders. Instead, it processes the decimal data as the actual decimal inputs. The proposed adder can be used as a decimal half adder as well as a decimal full adder. The adder is based on simple decimal …
Published in Journal of VLSI Design Tools and Technology · Vol. 4, Issue 2, 2014 · pp. 18–23 Read article
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Enhancing Profanity Detection in Dravidian Languages: Leveraging Language Models for Optimization and Improvement
Abstract: Detecting and documenting instances of abusive behaviour can significantly improve the quality of virtual environments. Given the vast amount of content published daily on social media, it is impractical for human annotators to manually identify potentially harmful content. Recent algorithmic initiatives, especially on platforms like Twitter, have advanced in abuse detection. However, for Dravidian texts, there remains a need to understand the context better and build robust language models for …
Published in Recent Trends in Programming languages · Vol. 11, Issue 2, 2024 · pp. 17–23 Read article
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A Novel Approach for Performance Analysis of Dynamic Information Integration
Abstract: AbstractData analysis and management was not a problem few years ago as the amount of data generated was not as huge as to cause any complexity. But in the recent years the amount of data being generated has increased exponentially. Thus management and analysis has become a problem since the traditional database management systems were not designed to handle such large amounts of data. The relational database management systems still …
Published in Journal of Advances in Shell Programming · Vol. 6, Issue 1, 2019 · pp. 27–41 Read article
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Adoption to Big Data Analytics: Privacy Issues and Integration of PPDM to overcome it
Abstract: AbstractIn this emerging era of technology, the amount of data being generated is massive. To deal with such a huge amount of data, development of big data analytics to extract valuable information for making marketing decision is gaining popularity. This data can be either structured, semi-structured or unstructured, so it is very difficult to process such rapidly growing and changing data with the conventional database techniques. As big data is …
Published in Journal of Computer Technology & Applications · Vol. 8, Issue 2, 2017 · pp. 33–38 Read article
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Enabling Location Based Services with Route APIs for Efficient and Responsive Query Processing
Abstract: AbstractLocation based services (LBS) play a vital role in the real world. It is true in the world now as there are technology innovations and the need for providing services to public. In case of LBS applications, the users are supposed to provide their location information, which is sensitive for many reasons. In addition to this with respect to transport LBS, there might be number of queries. Providing accurate results …
Published in Journal of Computer Technology & Applications · Vol. 7, Issue 3, 2016 · pp. 11–17 Read article
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Accounting and Finance with Robotic Process Automation (RPA)
Abstract: This study explores the potential of robotic process automation (RPA) to transform finance and accounting (F&A) operations. RPA involves utilizing software robots to mimic human interactions with applications, specifically targeting rule-based and repetitive tasks across various financial processes. Key findings: Boosted productivity and efficiency: RPA may result in considerable efficiency improvements by streamlining repetitive operations and freeing up F&A employees to concentrate on more strategic, higher-value work. Enhanced accuracy and …
Published in Journal of Advancements in Robotics · Vol. 10, Issue 3, 2023 · pp. 38–42 Read article
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Harvestify: ML Based Tool for Home Gardening and Farming
Abstract: This study presents a cutting-edge application that will transform home gardening and agriculture practices using machine learning (ML) approaches. The main goal is to provide data-driven insights to home gardeners and farmers, enabling them to implement efficient and sustainable farming practices. Crop disease detection, fertiliser recommendation, and a community section for user engagement comprise the three main elements that make up the system's architecture. The Crop Disease Detection module analyses …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 2, Issue 2, 2024 · pp. 18–28 Read article
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Job-related Stress among Nurses Working at Referral Hospitals of Amhara Region, Ethiopia: A Mixed Method
Abstract: Background: job stress among nurses is a major concern. Since, nurses are frontline healthcare providers in Ethiopian hospitals, always overloaded with various tasks that affect theirphysical and mental health. The nature of the work and the hospital environment majorlyaffected the nurses’ work. Therefore, the main aim of this study was to assess nurse’s job-related stress in Amhara Region and identify stressors that lead to stress. Methods: Institutionbased cross-sectional mixed methods …
Published in Journal of Nursing Science & Practice · Vol. 10, Issue 3, 2020 · pp. 40–49 Read article
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Design and Implementation of Security System for Medical Test Data Mining
Abstract: The growth of data mining process began when company data was first stored on computers, unrelenting with improvements in data access. Data mining deals with bulky database which may hold insightful information. Medical test security system is a major factor in our society especially this system is used for special purpose like inspection of many healthy man powers for a specific organization. In this project software is implement which is …
Published in Journal of Advanced Database Management & Systems · Vol. 1, Issue 1, 2014 · pp. 9–12 Read article
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Leveraging IoT and AI for Real-Time Monitoring and Optimization of Polymer Production Processes
Abstract: Integrating the Internet of Things (IoT) and Artificial Intelligence (AI) technology provides a transformational potential for the polymer manufacturing business, allowing for real-time monitoring and better control of production processes. This paper explores the synergistic application of IoT and AI to achieve greater efficiency, sustainability, and quality control in polymer manufacturing. IoT sensors and devices may capture massive volumes of data from different phases of the manufacturing process, delivering real-time …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 1–16 Read article
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Engineering Hydrology for Flood Control, Adequate Water Resources and Sustainable Environment in Nigeria
Abstract: Life is dependent upon water, and the knowledge of hydrology must be deployed to tackle issues related to floods, water scarcity, and environmental and climate change. This article examines engineering interventions through hydrology for flood control, adequate water resources, and a sustainable environment in Nigeria. The methodology adopted includes a literature review, survey-based studies, and systematic sampling with basic random sampling. Findings revealed that excess precipitation has serious negative effects …
Published in Journal of Water Resource Engineering and Management · Vol. 10, Issue 2, 2023 · pp. 1–10 Read article
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Real Time Ai Based Fault Detection in EV
Abstract: Electric vehicles (EVs) are rapidly increasing in usage, but motor faults can affect their performance and safety. This paper presents a real- time AI-based fault detection system using sensor data and embedded processing. The system utilizes an ESP32 microcontroller along with current, vibration, and temperature sensors to continuously monitor motor conditions. An intelligent algorithm analyzes real-time data to detect abnormalities such as overheating, overcurrent, and mechanical faults. When a fault …
Published in Journal of Microcontroller Engineering and Applications · Vol. 13, Issue 3, 2026 Read article
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Revamping of Pharmaceutical Manufacturing Processes
Abstract: The pharmaceutical sector is entering a new era marked by technological advancements and an emphasis on sustainability and efficiency. A commitment to compliance can help boost consumer confidence and regulatory approval. This abstract explores the multifaceted approach to revamping pharmaceutical manufacturing processes, encompassing technological integration, regulatory compliance, and sustainability initiatives. Technological advancements, including automation, data analytics, and artificial intelligence, are playing a pivotal role in streamlining manufacturing operations. These innovations …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 1, 2024 · pp. 38–44 Read article
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IoT Sensors to Monitor Pipeline Pressure and Flow Rate Combined with ML-Algorithms to Detect Leakages
Abstract: In the field of fluid mechanics, pipelines are the lifeblood of industries, transporting everything from natural gas and oil to water and chemicals. Maintaining their integrity is paramount for safety, economic efficiency, and environmental protection. Traditional leak detection methods explained in fluid mechanics can be slow, expensive, and sometimes fail to identify small leaks early enough to prevent significant damage. However, the convergence of Internet of Things (IoT) and Machine …
Published in Recent Trends in Fluid Mechanics · Vol. 12, Issue 2, 2025 · pp. 40–48 Read article
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Advancement in Image Classification: Media Player Control Using Hand Gestures
Abstract: We explore the development of picture categorization methods in this paper, with an emphasis on how they are used to manipulate media players with hand gestures. Our investigation focuses on the development of machine learning techniques, particularly on supporting vector machines (SVM) and convolutional neural networks (CNN). SVMs are used to identify and authenticate people from digital photos or video clips, but CNNs are great at face detection, which is …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 2, 2024 · pp. 1–10 Read article
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IOT and algorithmic intelligent motor health monitoring as well as maintenance prediction
Abstract: Manufacturing, transportation, and energy systems rely largely on industrial electric motors, and their untimely failure can result in expensive downtime, safety hazards, and decreased operational efficiency. The majority of traditional motor maintenance procedures rely on reactive methods or routine inspections, which frequently miss early-stage problems and lead to needless maintenance or unexpected breakdowns. This project offers an Intelligent Motor Health Monitoring and Predictive Maintenance System that combines Internet of Things …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 4, Issue 1, 2026 · pp. 28–37 Read article