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253 articles for “Reliability Measurement.”
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IoT-Based Structural Health Monitoring and Damage Detection in Fiber Reinforced Polymer Composite Structures
Abstract: Applications of fiber-reinforced polymer (FRP) composite in the aerospace, civil infrastructure and renewable energy systems are increasing due to the fact that the composite possesses high ratio of strength to weight and can resist corrosion. However, processes of internal damages such as the cracking of the matrix, delamination and fiber fracture, are likely to take place without being visible on the surface and therefore a periodic check of the structure …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1076–1100 Read article
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Components under rigorous usage of Railway track
Abstract: Risk evaluation of railway rolling stock failures by fatigue are enacted by failure mode, effects and criticality analysis (FMECA) technique. Studies are measurement, evaluation of reliability, availability and maintainability related to components of diesel loco engine. Failure investigations have included railway loco to diesel engine gear train consisting of crankshaft and camshaft gears in auto trucks. Finite element simulations of failure analysis of crankshaft as well experimentation have determined fatigue …
Published in Trends in Transport Engineering and Applications · Vol. 6, Issue 3, 2019 · pp. 20–28 Read article
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Fracture Toughness in Advanced Materials: A Comparative Review of Testing Methods and Standards
Abstract: Fracture toughness is a key material property used to assess a material's ability to resist crack propagation, which is vital for ensuring the reliability and durability of structures and components in high-performance applications. It is particularly important in advanced materials such as composites, ceramics, and high-strength alloys, which are increasingly used in demanding industries such as aerospace, automotive, and civil engineering. Fracture toughness testing helps determine the material's behavior under …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 3, Issue 1, 2025 · pp. 17–21 Read article
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Early Pregnancy Levels of Fasting Glucose, HbA1c, and Adiponectin as Predictors of Gestational Diabetes Mellitus Among Pregnant Women in Tamil Nadu, India
Abstract: Background: Gestational diabetes mellitus (GDM) is rapidly becoming a major public health issue across India, and Tamil Nadu continues to report some of the country’s highest incidence figures. Identifying women at elevated risk during the first trimester allows health workers to intervene early and improve outcomes for both mothers and babies. This research, therefore, examines whether fasting plasma glucose, glycated haemoglobin, and adiponectin measured at that initial visit can reliably …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 2, 2026 · pp. 10–18 Read article
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Artificial Neural Network Based Prediction of Impact Loads and Thickness in CFRP and GFRP Composite Laminates
Abstract: Recent technological advancements, particularly the integration of neural networks, have facilitated a predictive approach to complex engineering problems, especially those involving composite materials with directional properties. The scarcity of literature on predicting impact damage using experimental and ultrasonic flaw detection data motivated this study. Experimental assessment of impact damage on carbon fiber/epoxy (CFRP) and glass fiber/epoxy (GFRP) composites was conducted using low-velocity drop weight impact testing. Damage assessment employed an …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 2, Issue 1, 2024 · pp. 34–45 Read article
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Numerical Simulation of Deep Convolutional Neural Network Based Flower Classification System
Abstract: There are more than 250,000 recognized floral plant forms in 350 families. Further more the order, the plant checks of structures, the gardening industry, live plantations and scientific flower classification instructions depend on fruitful flower classification, including a content-based image recuperation. A wide range of applications also includes flower portrayals. The manual classification is however tedious and tiresome, particularly when the picture foundation is perplexing, with a huge number of …
Published in Journal of Computer Technology & Applications · Vol. 12, Issue 3, 2021 · pp. 23–31 Read article
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A study on the levels of noise pollution in Indore City, India, using pollution indices
Abstract: The purpose of this study was to investigate the patterns of environmental noise levels in the communities surrounding Indore City. The escalation of industrialization, urbanization, and transportation systems has led to a widespread problem of noise pollution in urban areas across the globe, which in turn has a significant impact on the overall quality of life. The issue of noise pollution has gained considerable attention as it has become a …
Published in Journal of Industrial Safety Engineering · Vol. 10, Issue 1, 2023 · pp. 8–12 Read article
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STM32 MCU-based System for Testing Parameters of Lithium-Ion Batteries
Abstract: The Automobile manufacturing sector’s fast-paced advancement has raised concerns regarding energy conservation and reduction of emissions. To address this, electric vehicles have become a crucial solution, with lithium batteries as a core component. This paper presents the designing a test system for measuring the parameters of lithium battery, with the STM32F411RE micro controller as the crucial element. In contrast to the domestic market, the parameter detecting system for lithium-ion batteries …
Published in Journal of Microelectronics and Solid State Devices · Vol. 10, Issue 2, 2023 · pp. 18–27 Read article
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Signal Drift Compensation in Polymer-Based Wearable Biosensors Using Data Processing Techniques
Abstract: Polymer-based wearable biosensors have emerged as promising platforms for continuous physiological monitoring due to their mechanical flexibility, low operating voltage, and compatibility with soft biological interfaces. However, their long-term deployment remains challenging because of signal drift caused by polymer ageing, hydration–dehydration cycles, ionic trapping, and environmental variations. These effects introduce baseline fluctuations and sensitivity degradation, which compromise the reliability and interpretability of physiological measurements. This study proposes a data-processing–driven framework …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 197–207 Read article
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Database Security and Integrity: Ensuring Reliable and Secure Data Management
Abstract: This paper explores the critical aspects of database security and integrity, addressing major threats and presenting strategies to mitigate these risks. Emphasizing the importance of secure and reliable data management, the paper reviews historical perspectives, current trends, key challenges, and future directions in the field. The research underscores the necessity of robust security measures and integrity controls to maintain the trustworthiness and reliability of databases, which are pivotal in supporting …
Published in Journal of Advanced Database Management & Systems · Vol. 11, Issue 3, 2024 · pp. 9–19 Read article
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Investigating the Relationship Between Environmental Concern and Waste Management in Tourism
Abstract: Tourism can bring both positive and negative effects in terms of the environment, which is the prevention of negative effects, including the necessity to preserve the environmental and even cultural, social resources of touristic areas. The purpose of this research is to investigate the relationship between environmental concerns and waste management in Damavand mountain tourism areas in 2017. This study was carried out as a survey and is of the …
Published in International Journal of Climate Conditions · Vol. 1, Issue 2, 2024 · pp. 47–53 Read article
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Optimal PMU Placement in Power Systems Using Graph Theory and PSAT
Abstract: Phasor measurement units (PMUs) play a vital role in modern power systems by delivering synchronized, real-time measurements. These devices enhance system reliability by supporting functions such as monitoring, protection, and control. By accurately capturing voltage and current phasors across different locations, PMUs enable better situational awareness and more effective decision-making in grid operations and management. Determining the optimal location of PMUs is essential to ensure system observability, reduce installation costs, …
Published in Trends in Electrical Engineering · Vol. 15, Issue 2, 2025 · pp. 26–32 Read article
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Adaptive Drift Correction in Polymer-Based Wearable Biosensors via Data-Driven Signal Modeling
Abstract: Polymer-based wearable biosensors have emerged as a promising technology for continuous health monitoring due to their mechanical flexibility, biocompatibility, and suitability for long-term physiological interfacing. However, prolonged exposure to biofluids, environmental variability, and mechanical deformation introduces signal drift, which significantly degrades measurement accuracy and limits clinical reliability. This paper presents a data-driven methodology for compensating signal drift in polymer-based wearable biosensors using adaptive signal processing and machine learning techniques. The …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 131–139 Read article
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Assessment of Compressive Strength of OPC and PPC-Based Concretes Combined by Ultrasonic Pulse Velocity and Rebound Hammer
Abstract: In this study, non-destructive tests were performed on ordinary Portland cement (OPC) and Portland pozzolana cement (PPC) based concrete specimens, namely the ultrasonic pulse velocity (UPV) and rebound hammer (RN). A relationship is thus established between the NDT values and the compressive strength. A statistical regression analysis was performed between the compressive strength with UPV and RN values to obtain a best-fit relationship and correlation coefficients. To take into account …
Published in Journal of Construction Engineering, Technology & Management · Vol. 2, Issue 1-3, 2012 · pp. 1–16 Read article
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Farmer Producer Organizations as Catalysts of Rural Transformation: A Multidimensional Framework from Punjab, India
Abstract: Farmer Producer Organizations (FPOs) have evolved as an important institutional mechanism for resolving the socio-economic challenges of small and marginal farmers by fostering collective action, expanding market access, and boosting bargaining power. In the broader context of sustainable rural development, FPOs are increasingly acknowledged as catalysts of rural transformation by contributing to numerous dimensions of farmer well-being. However, current study has generally analyzed FPOs through economic and operational indicators, with …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 3, 2026 Read article
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Farmer Producer Organizations as Catalysts of Rural Transformation: A Multidimensional Framework from Punjab, India
Abstract: Farmer Producer Organizations (FPOs) have evolved as an important institutional mechanism for resolving the socio-economic challenges of small and marginal farmers by fostering collective action, expanding market access, and boosting bargaining power. In the broader context of sustainable rural development, FPOs are increasingly acknowledged as catalysts of rural transformation by contributing to numerous dimensions of farmer well-being. However, current study has generally analyzed FPOs through economic and operational indicators, with …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 2, 2026 · pp. 116–122 Read article
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Reliability of Software System: A Particle Swarm Approach
Abstract: AbstractSoftware reliability engineering is focused on engineering techniques for developing and maintaining software systems whose reliability can be quantitatively evaluated. In order to estimate and predict the reliability of software system, failure data needs to be properly measured by various means during software development operational phases. Moreover, software reliability models are required to track underlying software failure processes for accurate reliability analysis and forecasting. Generally, software reliability is indicated by …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 6, Issue 1, 2019 · pp. 7–12 Read article
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Reliability Modeling, Performance and Cost-Benefit Analysis of Optical Fiber Network in DCRUST
Abstract: AbstractThis paper includes the survey of optical fiber network in DCRUST and its reliability modeling aspects to evaluate reliability of that optical fiber network. Model in this paper has an operative unit which is optical fiber cable and a hotstandby unit which is an optical fiber ring provided as a redundant fiber in DCRUST. This protection path is necessary in optical fiber to reduce the wastage of time and to …
Published in Trends in Opto-electro & Optical Communication · Vol. 8, Issue 1, 2018 · pp. 8–15 Read article
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Evaluating an ai-supported experiential learning intervention: a quasi-experimental study of the joyful saturday model for student engagement and holistic development
Abstract: Student disengagement, declining academic motivation, and passive classroom participation remain major challenges in modern higher education systems. Traditional lecture-based teaching methods often fail to accommodate diverse learning styles and do not sufficiently promote active participation or collaborative learning. To address these challenges, the present study evaluates the effectiveness of Joyful Saturday, a structured experiential learning initiative designed to improve student engagement, motivation, and holistic development through interactive academic activities supported …
Published in International Journal of Behavioral Sciences · Vol. 3, Issue 1, 2026 · pp. 79–88 Read article
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LTE & 5G NR Carrier Aggregation Network Optimization through Advanced Measurement Configuration
Abstract: The ability to merge numerous frequency carriers—component carriers—to increase transmission bandwidth and throughput speeds over what can be achieved with a single carrier is known as carrier aggregation, and it is a crucial technology in 4G LTE and 5G networks. Cellular devices may attain gigabit data speeds by combining carriers from several frequency bands, such as 600 MHz to mm Wave frequencies, to increase downlink and uplink capacity. This study …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 10, Issue 2, 2023 · pp. 35–45 Read article