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549 articles for “Cost Model”
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Fracture Analysis of Laminated composite plates using Extended Finite Element Method: A Review
Abstract: Laminated composite plates are used in aerospace, automotive, and marine industries. They feature great durability against fatigue, a high strength-to-weight ratio, and mechanical attributes that may be altered. However, they are prone to fracture and delamination under complex loading, requiring accurate fracture analysis for structural integrity. Traditional finite element methods (FEM) need extensive mesh refinement for modelling crack propagation which increases the computational costs. The Extended Finite Element Method (XFEM) …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 4, Issue 1, 2026 · pp. 16–25 Read article
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Environmental Advantages of Renewable Energy: A Review
Abstract: There is a shortage of fuel in many emerging nations, including India, because of increased manufacturing for many different development initiatives. If the thermal energy sources used to meet this rise in demand are coal-based, environmental damage and high production costs ensue. So, the greatest alternative approach is for the nation to build renewable energy-based power facilities. Sustainable in light of current and future societal, economic, and social demands, renewable …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 1, Issue 1, 2023 · pp. 31–39 Read article
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Fabrication, Numerical Simulation and Compact Modeling of Ph-BTBT-C10 Organic Thin Film Transistor
Abstract: Flexible and cost-effective electronics have been necessitated by the advent of organic thin-film transistors (OTFTs). This study aims to study the performance of OTFT using a 2-decyl-7-phenyl-[1]benzothieno[3,2-b][1]benzothiophene (Ph-BTBT-C10) organic semiconductor. The paper also explore accurate device modeling for technology optimization and circuit design that supports device improvement. This research includes device fabrication, numerical simulation using TCAD, compact modeling, and parameter extraction. By combining temperature-dependent bandgap narrowing with existing theories, this …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 1–18 Read article
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Enhancing Energy Efficiency in Air Handling Units Through AI Driven Optimization
Abstract: This research explores the implementation of artificial intelligence (AI) in enhancing the energy efficiency of Air Handling Units (AHUs) in manufacturing facilities. The study proposes a comprehensive solution architecture that incorporates temperature and humidity sensors within AHUs, utilizing RS485 for data communication. The collected data undergoes exploratory analysis, which informs the training of a decision tree algorithm, chosen for its accuracy and compatibility with edge gateways. The algorithm's predictions enable …
Published in International Journal of Industrial and Product Design Engineering · Vol. 2, Issue 2, 2024 · pp. 19–28 Read article
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Computational Simulations in Drug Discovery: Modeling Protein Folding and Drug Binding
Abstract: Computational simulations have become essential tools in drug discovery, offering unprecedented insights into molecular behavior at the atomic level. These simulations, particularly in the domains of protein folding and drug binding, allow for the exploration of complex biological systems that are often difficult to study experimentally. Protein folding, a critical aspect of drug discovery, involves the transition of a polypeptide chain from an unfolded to a biologically active structure. Understanding …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 1, 2025 · pp. 23–29 Read article
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A study in Leveraging Deep Learning and IoT Arrays for Dynamic, Hyper-Local Atmospheric Intelligence
Abstract: The critical demand for high-resolution, actionable atmospheric data is challenged by the high cost and sparse coverage of traditional regulatory monitoring stations. This paper explores the synergistic paradigm shift enabled by integrating low-cost, dense Internet of Things (IoT) sensor arrays with advanced Artificial Intelligence (AI) methodologies, specifically Deep Learning (DL) models. We address the primary limitations of low-cost sensors—inherent bias, sensitivity to environmental drift (temperature/humidity), and calibration inconsistency—by utilizing AI …
Published in International Journal of Atmosphere · Vol. 2, Issue 2, 2025 · pp. 50–62 Read article
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Augmented Reality in Vehicle Industry
Abstract: There is a nonstop and consistent change in the field of Augmented Reality (AR), both in the retail, and the manufacturing area. It has begun to impact all that from auto industry shows to online vehicle shopping. Purchaser overwhelmingly moved in the vehicle business; the ways are turning out to be more development than the old perceptive ones; the basic purchasing experience no longer fulfills them. Due to the increase …
Published in Journal of Automobile Engineering and Applications · Vol. 9, Issue 1, 2022 · pp. 5–11 Read article
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Hybrid Techniques in Mango Leaf Disease Identification: Evaluating Neural Networks and Support Vector Machines
Abstract: Mango leaf diseases pose a significant threat to mango production, impacting both yield and fruit quality. Early and accurate detection of these diseases is crucial for effective management. This paper evaluates the use of hybrid techniques, specifically the integration of neural networks (NNs) and support vector machines (SVM), in the identification and classification of mango leaf diseases. NN excel in extracting complex features from images, while SVMs are robust classifiers, …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 3, 2024 · pp. 19–27 Read article
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Quick Service: A Scalable Multi-Service Web Platform—A Microservices Approach for Seamless Integration
Abstract: This study proposes a model designed to save both time and cost for individuals seeking convenient access to a variety of services. In today’s fast-paced lifestyle, people often require quick and reliable solutions that can be tailored to their immediate needs. Our approach focuses on delivering multiple on-demand services that can cater to both individuals and businesses, ensuring that essential tasks are completed efficiently and on time in many emerging …
Published in Journal of Open Source Developments · Vol. 12, Issue 3, 2025 · pp. 26–45 Read article
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An Investigation of Model Predictive Control in Self-driving Vehicles
Abstract: Autonomous vehicles, which are often known as self-driving automobiles or driverless cars, are vehicles that can navigate and operate without human intervention. They require efficient controllers capable of handling complexities, with reduced computational costs, and should handle multiple inputs and outputs simultaneously. Model predictive control (MPC) possesses all these characteristics which means it can be utilized effectively for the same purpose. MPC for autonomous vehicles proposes various ways of achieving …
Published in Trends in Electrical Engineering · Vol. 14, Issue 1, 2024 · pp. 40–50 Read article
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Improving the Forecasting Accuracy of a Project Status Using the Inputs of Earned Value Management – A Review Article
Abstract: The earned value method (EVM) is recognized as a viable method for evaluating and forecasting project cost performance. Its application to schedule performance forecasting has been limited due to poor accuracy. The index based EVM forecasting methods are deterministic approaches having large forecasting errors in the initial stages of a project. Hence this paper gives a brief overview of the advanced accurate approaches like Kalman filter, growth model and linear …
Published in Journal of Construction Engineering, Technology & Management · Vol. 5, Issue 3, 2015 · pp. 13–17 Read article
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Animal Detection in Farms Using Opencv
Abstract: Agriculture plays a fundamental role in sustaining the Indian economy, providing employment and livelihood to a large portion of the population. Despite advancements in farming techniques, one of the persistent challenges faced by farmers is the intrusion of wild animals into agricultural fields. Such intrusions often lead to large-scale crop damage, financial loss, and emotional distress for farmers. Traditional animal deterrent methods, such as manual patrolling, fences, or scarecrows, have …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 13, Issue 2, 2025 Read article
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Strategies for Efficient Integration of Distributed Energy Resources into Microgrid Systems
Abstract: With the growing integration of Distributed Energy Resources into modern power systems, the global energy landscape is changing. Some of the DERs are solar photovoltaic (PV), wind turbines, battery storage systems, combined heat and power (CHP) units, and electric vehicles (EVs). Some of the advantages include lower transmission losses, better energy efficiency, and more resilience to grid failures. However, the far-reaching integration of DERs carries with it considerable technical, economic, …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 3, 2025 · pp. 51–56 Read article
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Towards a Sustainable City: Evaluating a Dynamic Model for Urban Operation
Abstract: This paper examines the theory of the polycentric city, building on the transformation of urban operations that occurred during the pandemic. It investigates how cities and their residents adapted to measures and precautions during the pandemic, exploring the potential for a new dynamic model. This model incorporates an updated polycentric theory, integrates new technology, and adheres to sustainable development principles, with the aim of creating a sustainable, climate-friendly, and user-centric …
Published in Journal of Construction Engineering, Technology & Management · Vol. 13, Issue 3, 2023 · pp. 24–36 Read article
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Supply Chain Design Considering Social and Environmental Risks
Abstract: The aim of the research is to design a supply chain taking into account social and environmental risks. In this research, an attempt was made to present a model that, by considering variables close to the real world, simultaneously considers cost and sustainability issues for designing a meat supply chain network, including locating facilities, using technology in them, how products flow in the network, etc. In order to examine the …
Published in International Journal of Industrial and Product Design Engineering · Vol. 4, Issue 1, 2026 · pp. 35–43 Read article
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Review of symmetricity in Taguchi’s Loss Function for Performance Measurement to Monitor Cost of Rejection
Abstract: Performance measurement for any organization has become an inevitable activity owing to the pressure of enhancing the efficiency of the system and to assess the correctness and direction of activities related to the performance. Various methods like time series graph, control charts, capability index, quality awards, cost of quality etc. are being used for showcasing the measured performances. One of the vital methods being used for the purpose is Taguchi’s …
Published in Trends in Mechanical Engineering & Technology · Vol. 9, Issue 1, 2019 · pp. 59–68 Read article
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Virtual Reality in Civil Engineering: A Comprehensive Review of Applications, Challenges, and Future Trends
Abstract: Virtual reality (VR) technology has gained significant attention in civil engineering, offering immersive and interactive environments that enhance visualization, safety training, and project management. This review paper comprehensively examines the current applications of VR in civil engineering, focusing on construction safety training, design visualization, and stakeholder collaboration. VR’s ability to simulate hazardous scenarios allows for effective safety awareness and risk mitigation without real-world exposure. Additionally, the integration of VR with …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 3, 2025 · pp. 20–24 Read article
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Modeling and Simulation of Pentacene based Organic Thin Film Transistors with Organic Gate Dielectrics
Abstract: AbstractTwo structures of pentacene organic thin film transistors (OTFT) with organic dielectrics, polymethyl methacrylate (PMMA) and polyvinyl alcohol (PVA) have been numerically simulated with TCAD ATLAS tool. Output and transfer characteristics were simulated and mobility, threshold voltage, sub threshold swing (SS) and current on/off ratio that play a part in the increment of conductivity of device were extracted. The authors show that the semiconductor-insulator interface actively affects the performance of …
Published in Journal of Microelectronics and Solid State Devices · Vol. 4, Issue 3, 2017 · pp. 13–18 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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A Review on Structural Design Analysis and Environmental Auditing of Railways
Abstract: In the present time, Indian railway is the major transport medium. It is so efficient, economic, and services are moderate eco-friendly technology. Changes are on the basis of engineering, logistics, time and luxury. The new structure has faced lots of challenges and every day demands led to some changes day to day. In so many years of Indian railway the tracks are challenging and quite tough which carries lots of …
Published in Journal of Energy, Environment & Carbon Credits Read article