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43 articles for “uncertainty evaluation”
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Study of Uncertainty Quantifications for Designing Smart Systems
Abstract: Uncertainty is an innate piece of this present reality. No two actual examinations at any point produce the very same result values and numerous significant sources of info might be obscure or immense. Uncertainty impacts practically all parts of designing displaying and plan. Engineers have long managed estimation mistakes, unsure material properties, and obscure plan request profiles by including elements of wellbeing and widely testing plans. By more profoundly getting …
Published in Current Trends in Information Technology · Vol. 12, Issue 3, 2022 · pp. 1–5 Read article
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Reliability Evaluation of Power Distribution Network Considering Uncertainty in Failure
Abstract: With the development of economy and society power planning is facing with the influence of much uncertainty, which are mainly power distribution network. Power system especially at the distribution level is prone to failures and disturbances as many devices are responsible for the successful operation of a radial distribution system. Every time an engineer takes a measurement, the only certainty is that the measurement is not exact; all measurements have …
Published in Journal of Mechatronics and Automation · Vol. 1, Issue 1, 2014 · pp. 33–40 Read article
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Automatic Evaluation of the Thin-film Multijunction TVC Performance in the Highly Accurate AC Voltage Measurements
Abstract: In this paper, The Thin-Film Multijunction Thermal Converter (TFMJTC) is evaluated by comparing its performance with the Single Junction Thermal Converter (SJTC) performance. This comparison is performed automatically by making new LabVIEW programs which are developed especially for this purpose. The performance of the TFMJTC is determined with the help of characteristic tests which are important to each thermal converter (TC) to be determined to put them into consideration during …
Published in Journal of Control & Instrumentation · Vol. 4, Issue 1, 2013 · pp. 1–10 Read article
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Analysis of Project Management Optimization Using CPM and PERT in a Dynamic Business Environment
Abstract: In the current fast-changing business environment, organizations must remain agile and strategically responsive to unpredictable challenges such as supply chain disruptions, shifting consumer demands, and evolving market trends. Project management techniques like the Critical Path Method (CPM) and the Program Evaluation and Review Technique (PERT) serve as valuable tools in helping businesses manage these complexities effectively. CPM is a time-focused method that identifies the longest sequence of dependent tasks in …
Published in Journal of Construction Engineering, Technology & Management · Vol. 15, Issue 3, 2025 Read article
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Fracture Analysis of Functionally Graded Material (FGM) Plates Using Extended Finite Element Method: A Review.
Abstract: Functionally Graded Materials (FGMs), have drawn a lot of interest in various engineering applications due to their superior mechanical properties and ability to withstand extreme conditions. Fracture analysis in FGMs focuses on understanding how cracks initiate and propagate within these complex materials. The stress distribution becomes irregular due to spatial property variations which produces different crack paths than what occurs in homogeneous materials. The examination of FGM plates under fracture …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 4, Issue 1, 2026 · pp. 9–15 Read article
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Critical Examination of Project Success Definition and Factors for Project Success Criteria
Abstract: Project success is understood as the process of measuring the success determinants such as resource management, needful level of funds, application of suitable leadership styles, as well as meeting the defined goals of a project. The success of a project is also determined by the commercial benefits obtained from a defined project. In this research paper, the definition of project success and relevant criteria for project success management is critically …
Published in Journal of Construction Engineering, Technology & Management · Vol. 14, Issue 1, 2024 · pp. 41–48 Read article
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Very Short-Term Load Forecasting Using Gaussian Process Regression
Abstract: Very Short-Term Load Forecasting (VSTLF) is critical for real-time grid stability, frequency control, and economic dispatch. This study proposes a Gaussian Process Regression (GPR)-based framework for one-hour-ahead load forecasting using hourly data from January 2020 to April 2024 for Delhi, India. The model incorporates meteorological data such as temperature, humidity, and dew point with lagged load values. The research takes into account time-related dependencies and seasonal changes in order to …
Published in Trends in Electrical Engineering · Vol. 16, Issue 1, 2025 · pp. 91–104 Read article
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Model based Tuning of PID Controller
Abstract: In this paper PID controller with Internal Model Control tuning method (IMC-PID) is presented for robust operation. The implementation of IMC is simplified in large class of industrial applications as the process dynamics can be adequately characterized by a First Order plus Delay Time (FOPDT) model. Tuning of the controller is easily done by adjusting the filter time constant which provides improved performance and robustness of the closed loop system. …
Published in Journal of Control & Instrumentation · Vol. 4, Issue 1, 2013 · pp. 16–22 Read article
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Motors Using a Deep Learning-Based Torque Control with Torque Ripple Reduction under Nonlinear Magnetic Conditions
Abstract: This research discusses a deep learning strategy for torque management to minimize the effect of torque ripple in a nonlinear electric motor. Nonlinear electric motor losses may include: magnetic saturation, harmonic flux losses and inverter losses. In many cases when the system parameters deviate and/or instability issues occur, the traditional method with a model-based approach or PI control may encounter challenges. In this case, the authors proposed a hybrid approach …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 2, 2026 Read article
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Revolutionizing Low Carbon Concrete: Innovations at the Nexus of Computational Science, Data Analytics, and Sustainable Technologies
Abstract: Concrete production accounts for 7% of global CO2 emissions necessitating low carbon innovations to curb exponential demand threatening climate commitments. This research reviews sustainable construction literature integrating computational simulations, big data infrastructure monitoring and alternative process redesign. Analysis reveals 30-50% reductions achievable through combined use of industrial ecologies, smarter sensing coordinated with ML optimization and novel binders like alkali-activated geopolymers. Rigorous LCA quantification verifies environmental superiority over conventional formulations. Case …
Published in Journal of Construction Engineering, Technology & Management · Vol. 13, Issue 3, 2023 · pp. 16–23 Read article
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Small-Scale Model Study on the Load-Deflection Characteristics of Single Piles under Static Lateral Load
Abstract: The capacity of a certain mathematical model to mimic a behavior occurring on a larger scale often concerns engineers. To evaluate a particular structure's safety factor, model uncertainty is an important consideration. Piles have been widely used to support axial and lateral loads for a wide range of structures, including high-rise buildings, transmission towers, power plants, offshore structures, highway and railway structures. Many transmission towers, high-rise buildings, highway and railway …
Published in Journal of Geotechnical Engineering · Vol. 9, Issue 3, 2022 · pp. 47–55 Read article
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Experimental Validation and Implementation Framework for Optimized Methane Yield Prediction in Anaerobic Digestion
Abstract: The correct validation and realistic application of optimized anaerobic digestion (AD) models are essential steps in transferring biogas production systems to real-life. This paper outlines an experimental validation and deployment pipeline of an AI-optimized model of the methane yield prediction model based on the application of more advanced machine learning and Bayesian optimization methods. Others The validated surrogate-assisted optimization model was tested with controlled laboratory-scale AD experiments at optimized operating …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 1, 2026 · pp. 25–32 Read article
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Intelligent Planning of Transmission Networks: Addressing Uncertainties Through Artificial Intelligence
Abstract: Power grid planning is a critical aspect of power grid topology, traditionally relying on manual methods that are prone to various uncertainties. These uncertainties, both subjective (stemming from human judgment) and objective (resulting from data limitations), can significantly affect the reliability and efficiency of the planning process. This paper presents an artificial intelligence (AI) method aimed at improving the smart planning of transmission networks. By utilizing AI, the proposed method …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 · pp. 40–46 Read article
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Entropy, Symmetry, and Data Fusion: Emerging Methods in Multi-Objective Decision- Making and Smart Systems
Abstract: In the era of intelligent technologies and data-driven systems, multi-objective decision-making (MODM) has become an essential aspect of managing complex environments such as smart cities, autonomous systems, and cyber-physical networks. As decision-making scenarios become increasingly dynamic and uncertain, there is a growing need for advanced methodologies that can handle diverse objectives, conflicting constraints, and incomplete information. This review highlights the emerging role of entropy, symmetry, and data fusion as foundational …
Published in Emerging Trends in Symmetry · Vol. 1, Issue 2, 2025 · pp. 44–49 Read article
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Smart Contract: A New Buzz Word for Reliable Decentralized Network
Abstract: Blockchain technology has emerged as a foundational distributed-ledger architecture enabling decentralized, transparent, and tamper-resistant data management across diverse digital ecosystems. This paper presents an integrated review of blockchain fundamentals, consensus mechanisms, smart contract design, and real-world applications beyond cryptocurrencies. It discusses the evolution of smart contracts as automated, self-executing programs that remove intermediaries and ensure deterministic execution, while highlighting critical security vulnerabilities such as reentrancy, arithmetic overflows, and improper access …
Published in Journal of Open Source Developments · Vol. 13, Issue 1, 2026 · pp. 35–41 Read article
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Cyclist Safety Enhancement: A Multi-Modal Hazard Detection System
Abstract: This study presents a multi-modal hazard detection system to enhance cyclist safety in urban environments. Lever- aging a combination of computer vision, object tracking, and predictive modeling, the system offers a comprehensive approach to identifying and mitigating potential risks. Key contributions include improved depth estimation through object size priors, multi-class tracking utilizing KCF and Brisk, and a novel recurrent neural network architecture for predicting bicycle movement. The system’s collision detection …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 1, Issue 2, 2023 · pp. 35–83 Read article
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Seismic Evaluation of RC Framed Buildings using Performance Based Design
Abstract: Seismic resiliency of new buildings has developed over the years due to enhancements in seismic codes and design practices. Though, existing buildings designed and built under past codes are vulnerable and require a performance-based screening and retrofit prioritizing. Performance based seismic design provides a framework for determining the level of safety and level of property protection in earthquake events with the consideration of uncertainties in the quantification of possible hazard …
Published in Journal of Structural Engineering and Management · Vol. 7, Issue 1, 2020 · pp. 33–41 Read article
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Accidental Eccentricity Demand of Educational Building due to Imposed Load Uncertainty
Abstract: AbstractIn this paper, the accidental eccentricity demand of an educational building due to live load uncertainty is worked out. The various occupancies of an educational building are imposed with suitable intensity of imposed load as per IS 875 provision and for different situations of these loads the maximum shift of centre of mass is evaluated. To define imposed load intensity, gamma probability distribution is used. The values of accidental eccentricity …
Published in Journal of Structural Engineering and Management · Vol. 5, Issue 1, 2018 · pp. 1–4 Read article
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Fuzzy Probability Distributions and Their Applications in Uncertain Data Analysis
Abstract: This study explores the use of fuzzy probability distributions in data analysis under uncertain conditions, with a specific focus on their implementation in evaluating call center customer satisfaction. Traditional probability models rely on precise parameters, often failing to account for the inherent variability and subjectivity present in real-world data. In contrast, fuzzy probability distributions, which integrate fuzzy logic principles, offer a more adaptable and realistic framework for addressing such complexities. …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 3, 2024 · pp. 1–8 Read article
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Computational Intelligence and Neuro-Fuzzy Modelling of Polymer Composites: A Critical Review of Performance Prediction and Optimization
Abstract: The increased variety in polymer matrices, reinforcements, fillers, and processing parameters has led to the need to better understand the structure-property, process-property relationships in order to accurately predict and optimize the performance of polymer composites. This paper reviews the applications of computational intelligence methods in polymer composites, with special focus on artificial neural networks, adaptive neuro-fuzzy inference systems, machine learning techniques, and hybrid optimization. The literature is analyzed based on …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article