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66 articles for “pressure monitoring system”
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Orthostride: An Internet of Medical Things-Enabled Smart Rehabilitation Footwear System for Real-Time Monitor
Abstract: The orthopedic rehabilitation goal of controlled weight bearing, a stable gait progression, and early recognition of hazardous situations for safe mobility is traditionally met through time, scheduled in-clinic observation and clinician induction, and patient report. In this work, Orthostride, a smart rehabilitation footwear prototype intended to augment postoperative and injury-related lower extremity restoration through continuous sensing, embedded decision logic, local feedback, and remote telemetry, is proposed. This system incorporates force …
Published in International Journal of Electronics Automation · Vol. 4, Issue 2, 2026 Read article
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Comparison of PQR and WPQ for Jacket Long Seam Joint of Pressure Vessel as per ASME Section IX
Abstract: Small and medium size stocked components intended for boiler and pressure vessel are often manufactured and welded with reference to ASME section III and IX. This paper mainly focuses on rules for welding qualification, monitoring welding activities during manufacturing and the extent of supervision by independent inspection body required by the quality system. In this work comparison required for welder procedure qualification as well as welder qualification accordance with procedure …
Published in Journal of Materials & Metallurgical Engineering · Vol. 6, Issue 2, 2016 · pp. 1–5 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
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Application of Convolutional Neural Networks in Design of Efficient Pipe Flow System
Abstract: Convolutional Neural Networks exhibit remarkable capabilities in flow pattern recognition, pressure drop prediction, leak detection, and system optimization through their ability to process complex spatial and temporal data patterns. The study examines CNN architectures specifically adapted for fluid dynamics applications, including data preprocessing techniques, feature extraction methods, and performance optimization strategies. Key applications include real-time flow monitoring, predictive maintenance, design parameter optimization, and anomaly detection in pipe networks. Comparative analysis …
Published in Recent Trends in Fluid Mechanics · Vol. 12, Issue 3, 2025 · pp. 1–9 Read article
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Employee Well-Being: Deep Learning Approaches to Stress Detection
Abstract: Stress has become a major concern for employee health, productivity, and overall well-being in today's fast-paced work environment. It is a growing global issue, affecting both individual employees and the productivity of organizations. Work-related stress occurs when the demands of a job surpass an individual's ability to manage, whether because of long hours, overwhelming responsibilities, or other pressures. Factors such as conflicts with coworkers or supervisors, constant changes, and job …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 1, 2025 · pp. 52–58 Read article
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Explainable Machine Learning Integrated with Polymer-Based Diagnostic Technologies for Liver Health Classification
Abstract: Early and reliable assessment of liver health is essential for timely treatment, yet most machine-learning approaches face limitations such as class imbalance and low clinical interpretability. This study proposes a polymer-integrated, explainable machine-learning framework that combines SMOTE-based data balancing, Logistic Regression, and XAI techniques (SHAP and LIME) for transparent liver-health classification. In addition to ML modelling, the study emphasizes the emerging role of polymer-based biosensors, microfluidic polymer chips, polymer nanomaterials, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 631–643 Read article
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PLC Based Real Time Automated Water Distribution System for Domestic and Industrial Uses
Abstract: The process of water purification holds significant importance in the pre-distribution stage of water. The water distribution system in the PCMC area is extensively and efficiently deployed. Automation offers efficient methods for addressing various challenges related to water distribution. The occurrence of water leakage and inadequate water delivery is a significant challenge within the context of water distribution systems. The occurrence of this leakage results in a significant decrease in …
Published in Journal of Mechatronics and Automation · Vol. 10, Issue 2, 2023 · pp. 10–18 Read article
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Looking into how modern technology combines sensors and Artificial Intelligence
Abstract: The combination of sensors and Artificial Intelligence (AI) is changing modern technology by making it possible to collect, analyse, and make decisions based on data in real time. Sensors are the main link between the real and digital worlds. They collect several types of data, like temperature, motion, pressure, and visual information. When used with AI methods like machine learning and deep learning, this data may be processed in a …
Published in Recent Trends in Sensor Research & Technology · Vol. 13, Issue 1, 2026 Read article
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Metal Forming Management: Through Efficient Technology System
Abstract: The paper gives an account of the control of technological parameters in the manufacturing areas of rolling, forging and extrusion, besides the analysis of their role-playing to yield a fit component of right and requisite mechanical properties. The control of process parameters, the various dependent and independent variables, with efficient and frequent monitoring of recommended/design process parameters is vital towards controlling the manufacturing and hence economy of the manufacturing process. …
Published in Journal of Materials & Metallurgical Engineering · Vol. 5, Issue 1, 2015 · pp. 60–72 Read article
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Predictive Model to Monitor the Exponential Transport of Spirochaeta Influenced by oxygen deficit And dispersion on natural pond
Abstract: Predictive model were considered to monitor the deposition of Spirochaeta in natural pond, the study considered the system to monitor the accumulation or exponential growth rate influenced by predominant parameters in the study environment, the effect from oxygen deficit observed characteristic of Dissolved Oxygen Levels. This includes Dissolved oxygen concentrations that are constantly influenced by diffusion and aeration, including photosynthesis, respiration and decomposition. This also includes water equilibrates toward hundred …
Published in Recent Trends in Fluid Mechanics · Vol. 8, Issue 1, 2021 · pp. 22–33 Read article
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Various Routing Algorithms in Wireless Sensor Networks for Energy Minimization
Abstract: The past few years have witnessed increased interest in the potential use of wireless sensornetworks (WSNs) in a wide range of applications and it has become a hot research area. Lot ofresearchers are showing interest in WSN for disaster management where prediction ofupcoming disaster is required well in advance before it happens and in critical areas wherehuman presence is not possible directly; wired communication dose not suit well for suchapplications. …
Published in Recent Trends in Sensor Research & Technology · Vol. 7, Issue 3, 2020 · pp. 26–37 Read article
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Machine Learning Revolutionizing Server Management and Performance
Abstract: The modern data center is a complex and dynamic environment, grappling with ever-increasing workloads, stringent performance demands, and the constant pressure for cost optimization. As such, applying machine learning (ML) directly to the server infrastructure offers a powerful avenue for achieving advanced automation, resource optimization, and proactive problem resolution. This article explores the transformative potential of integrating machine learning into server systems, leveraging insights gleaned from the abstract and conclusion …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 36–44 Read article
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A Review on Automatic Railway Gate Control System
Abstract: Railway transportation is one of the most efficient and widely used modes of transport; however, safety at level crossings remains a critical issue, especially at unmanned or manually operated gates. A significant number of accidents happen as a result of human carelessness, insufficient coordination, and postponed gate operations. To address these issues, the Automatic Railway Gate Control System has been created as a viable solution to improve safety and minimize …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 2, 2026 Read article
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IoT Based Pill Dispenser System
Abstract: Real-time data collection and patient database recording have been facilitated by the Internet of Things. One of the most common reasons a treatment plan does not work for a patient is that the drug is not taken at the prescribed time. People 50 years of age and beyond are more likely to suffer from diabetes, high blood pressure, Alzheimer's disease, Parkinson's disease, and other illnesses. For a patient like this, …
Published in Journal of Microelectronics and Solid State Devices · Vol. 11, Issue 1, 2024 · pp. 18–24 Read article
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Petroleum Engineering’s Future in a Changing Energy Environment
Abstract: Concerns about climate change, rapid technological advancement, and the expanding deployment of renewable energy sources are driving a profound transformation in the global energy sector. Within this evolving landscape, petroleum engineering remains a critical discipline, ensuring a reliable and efficient energy supply while adapting to increasingly stringent sustainability expectations. This article examines the future trajectory of petroleum engineering by analyzing how digitalization, advanced reservoir characterization, and enhanced oil recovery techniques …
Published in Journal of Petroleum Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 61–66 Read article
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Graphene Based Electronic Skin for Wearable Health Monitoring and Human– review on Machine Interaction, Materials, Structures and AI Integration
Abstract: Graphene-based electronic skin (e-skin) has emerged as a transformative technology for next-generation wearable health monitoring and advanced human–machine interaction (HMI). Owing to its outstanding electrical conductivity, mechanical flexibility, atomic-scale thickness, and biocompatibility, graphene enables the fabrication of ultrathin, conformal, and multifunctional sensors capable of mimicking the sensory functions of natural human skin. Over the past decade, research in this domain has progressed rapidly across four interconnected fronts: material synthesis and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Capacitance–Resistance Model Application to Reservoirs Primarily Under Aquifer Influx
Abstract: Previous Capacitance – Resistance Models that have been developed to characterise black oil reservoirs undergoing waterflooding do not apply to waterflooding of reservoirs primarily under aquifer influxresulting in significant error. This paper has attempted to overcome this limitation by presenting the aquifer influx as a pseudo injector whose injection rate is represented by an existing aquifer model.The influencing parameters of the model have been modified to include an aquifer influx …
Published in Journal of Materials & Metallurgical Engineering · Vol. 10, Issue 1, 2020 · pp. 16–29 Read article
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AI and IoT for Precision Farming: Transforming Indian Agriculture
Abstract: Agriculture plays a crucial role in the global economy with the exponential rise in population. There is a parallel increase in the demand for food and employment exerting pressure on conventional farming methods. These traditional techniques are often inadequate in meeting current agricultural demands. Consequently, automation in agriculture has gained significant attention as an evolving field. The integration of artificial intelligence (AI) into agricultural processes has led to a transformative …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 3, 2025 · pp. 7–15 Read article
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Design and Development of Multifunctional Stretcher
Abstract: Hospital stretchers and wheelchairs are integrated in this piece. Instead of using the chair and stretcher individually, the suggested stretcher can be utilized for multiple purposes. Patients' mobility issues can be greatly reduced by this arrangement. There is a challenge in the ICU moving seriously damaged or fractured patients from stretcher to wheelchair. This product is capable of addressing such situations. One more advantage of the proposed design to conduct …
Published in International Journal of Industrial and Product Design Engineering · Vol. 4, Issue 1, 2026 · pp. 29–34 Read article
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Evaluation of Safety of Unani Pharmacopieal Majoon-e-Lana in Cases of Neurasthenia
Abstract: Neurasthenia, referred to as Zof-e-Asaab in the Unani system of medicine, is a functional disorder characterized by generalized weakness of the nervous system. Individuals suffering from this condition commonly experience persistent fatigue, reduced physical and mental performance, low mood, irritability, disturbed sleep, and, in some cases, elevated blood pressure. Although various conventional treatment options are available for symptom management, no specific curative therapy has been established. Furthermore, long-term use of …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 13, Issue 2, 2026 Read article