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1483 articles for “Efficiency improvement”
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The Coupling of Blockchain and Supply Chain
Abstract: In today's industrial landscape, supply chain management (SCM) is pivotal in ensuring the smooth supply of products from the manufacturing house to the seller shop. However, digitizing SCM processes has brought new challenges, particularly in data security and trustability. Blockchain, a decentralized peer-to-peer network, offers enhanced security and privacy through its distributed ledger technology. By incorporating blockchain into SCM, businesses can ensure the integrity of their data, mitigate risks such …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 11, Issue 2, 2024 · pp. 38–48 Read article
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Monitoring of Ship Deployment Through Emerging Technologies
Abstract: The mission for naval vessels encompasses defining combat tasks, deployment statuses, and timing requirements to optimize combat patrol effectiveness and daily ship management. This involves inheriting, developing, and optimizing ship deployment strategies while establishing new deployment categories with distinct names, connotations, personnel, and equipment needs to ensure organic integration and synergy. Emphasis is placed on maintaining continuity, stability, and forward-thinking to meet the demands of warship combat operations, facilitate management …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 59–66 Read article
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Face Detection and Recognition Using MTCNN and FaceNet
Abstract: Face detection and face recognition are major tasks in the field of computer vision with several real-world applications and many products being developed in the same field. This study gives a detailed implementation of the product that is developed for accurate detection and recognition of faces along with audio output of the face detected. This development would act as a base for a few future products that can be developed …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 132–140 Read article
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Study of Perovskite (CH3NH3PbI3) Solar Cell using CuI (Copper Iodide) as Hole Transport Layer (HTL) at different thickness of HTL layer
Abstract: While solar energy is a viable option, future clean energy solutions may require other energy sources. Renewable electricity sources are known for being affordable, easy to access, and not producing greenhouse gases. Photovoltaic cells, which turn sunlight into electrical power, are a good choice. Over the last twenty years, advancements in photovoltaic technology have lowered costs and improved the efficiency of solar cells. Perovskite materials, recognized for their unique crystal …
Published in Journal of Power Electronics and Power Systems · Vol. 14, Issue 2, 2024 · pp. 1–11 Read article
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Investigation of the Thermoelectric, Electronic Band Profile, and Structural Properties of Skutterudites Based on Cobalt and Antimony
Abstract: We investigated ThCo4Sb12, an actinium-filled skutterudite, from the ground up for structural, electronic, and thermoelectric properties. A generalized gradient approximation and modified BeckeJohnson potentials were used to calculate the exchange-correlation potential. The compound is shown to have metallic properties in the electronic structure calculations. Actinium series element is used as a void filler in this study. The Seebeck coefficient and electrical conductivity can be calculated using Boltzmann's transport theory. According …
Published in Journal of Structural Engineering and Management · Vol. 11, Issue 2, 2024 · pp. 13–19 Read article
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Innovative Approaches for Exploring Software Testing Techniques for Electrical Equipments
Abstract: Software testing is critical to assuring the success and reliability of a software product or service, yet it is frequently regarded as uninteresting work when compared to design or development. Human factors influence the final software product's outcome, just like in any human-based activity. For software development companies, this means that finding practical ways to boost testers' motivation and job happiness is a major challenge. Our research focuses on how …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 1, Issue 2, 2023 · pp. 1–7 Read article
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Optimizing Heat Transfer Performance in CO2 Finned-Tube Gas Coolers: A Comparative CFD Study of Design Variations
Abstract: Computational fluid dynamics (CFD) simulations and mathematical analysis are used in this study to examine the heat transfer efficiency of CO2 fined tube gas coolers. To maximize heat transfer efficiency, CFD simulations were carried out on a variety of gas cooler designs with variable fin geometry, including offset strip fins, using the ANSYS Fluent program. Under the baseline design, there was a finned tube cooler measuring 610 mm in length, …
Published in Recent Trends in Fluid Mechanics · Vol. 11, Issue 3, 2024 · pp. 1–13 Read article
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Data Recovery Using Brute Force Algorithm: A Review
Abstract: This article delves into the intriguing field of data recovery, with a particular emphasis on the brute force approach, a powerful yet frequently underappreciated method. We begin by exploring the evolution of data recovery techniques since the 1970s and 1980s, examining traditional methods used to retrieve lost or corrupted data. Following this historical perspective, the article provides a brief overview of various methodologies employed in data recovery, including techniques that …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 · pp. 10–16 Read article
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Significant Advances in Cloud Computing in Information and Communications Technology
Abstract: The critical advances in information and communications technology (ICT) over the last half-century have led to the increasingly common vision that computing will one day become the 5th utility. This computing utility will provide the essential level of computing service considered basic to meet the everyday needs of the general public. To convey this vision, a number of computing models have been proposed, with the most recent being cloud computing. …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 3, 2024 · pp. 33–38 Read article
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Improvement of Convergence Speed of Q-learning based Path Planning Algorithm
Abstract: Path planning is fundamental and important task of mobile robot. There are many attempts to adopt reinforcement learning (RL) in mobile robot path planning. RL based path planning is effective in path planning of intelligent mobile robot, especially in unknown environment because it doesn’t require environmental information and finds optimal path through trial-and-error process. Q-learning is one of RL algorithm widely used in path planning of mobile robots. The main …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 2, Issue 2, 2024 · pp. 19–28 Read article
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Automating Compiler Optimization: A Machine Learning Approach
Abstract: This study reports on an ML-based approach to compiler optimization, complementing traditional optimization methods that rely strongly on hand-tuned settings. Compiler optimization plays a key role in performance-speedup and energy optimization of complex contemporary software systems. However, the traditional approach to optimizer settings involves laborious, error-prone, and scale-insensitive human-in-the-loop intervention, especially in the complex and high-demand environments in which today's computing application thrives. By integrating RL and GA, we can …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 1, 2025 · pp. 12–16 Read article
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Nanotechnology and Sustainability Motion
Abstract: Nanotechnology is the focus of many scientific communities due to its multifunction. To realize such functionality, the size, dimensions, and shape dependent physio-chemical properties are first analyzed. Then, measurable nanostructures including nanomaterials, nanocomposite, and nanoparticles which impact the functional properties of materials and devises are assessed. Herein, the role of such nanostructures in enhancing the efficiency, performance, and quality of materials and technology is envisioned. As a vehicle, contributions of …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 27, Issue 1, 2025 · pp. 7–13 Read article
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Improved Cooling Effectiveness in Radiators and Heat Exchangers with Nanofluid-Based Technology
Abstract: This study discusses how the process of heat transfer in radiators and heat exchangers can be improved using nanofluids and analysis of computational fluid dynamics. These nanofluids comprise Al₂O₃ and ZnO dispersed in water-based ethylene glycol solutions, and graphene oxide dispersed in water-based solutions, and performance evaluation was done for the range of flow rates 180–420 l/h. And a 3D CAD model was created using the ANSYS Workbench. It was …
Published in Recent Trends in Fluid Mechanics · Vol. 12, Issue 1, 2025 · pp. 31–62 Read article
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Analysis of the Output Power in Offshore Bladeless Vibrational Wind Turbines
Abstract: This work focuses on studying and analyzing the power generation in offshore bladeless vibrational wind turbines. In previous work, we developed detailed research about the vibrational wind turbine design and configuration; in this new work, we analyze the energy supply from this type of turbine to achieve a better understanding of the behavior and potential of bladeless vibrational wind turbines (BVWT) as an additional power source in offshore wind farms. …
Published in Journal of Offshore Structure and Technology · Vol. 11, Issue 3, 2024 · pp. 12–23 Read article
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Future Fibers for the Airport Engineering
Abstract: This paper explores the use of advanced fibers in drone technology, with a specific focus on textiles for drone body structures. As drones continue to evolve, selecting materials that enhance performance, durability, and sustainability has become increasingly critical. Traditionally, drone components rely on resin-based composites for strength and rigidity. However, recent advancements demonstrate that certain fibers can achieve exceptional structural performance without the need for resin. The study emphasizes materials …
Published in Journal of Aerospace Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 14–18 Read article
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Green Chemistry Techniques used in The synthesis of Organic and Biochemical Compounds
Abstract: Green chemistry is closely related to “the design of chemical products and processes that specifically eliminate the use or generation of substances that are hazardous to humans, animals, plants, and the environment.” Green chemistry contains 12 principles that guide how a chemical is produced and used in a green and sustainable way, reducing pollution. Sustainable chemistry is a scientific concept that seeks to improve the efficiency with which natural resources …
Published in Journal of Catalyst & Catalysis · Vol. 12, Issue 2, 2025 · pp. 01–9 Read article
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Heterocyclic Compounds in Thin Film Coatings: A Review on Anticorrosion and Antimicrobial Properties.
Abstract: Heterocyclic compounds have gained significant attention in thin film coatings due to their exceptional chemical versatility and functional properties. These compounds, characterized by the presence of heteroatoms in their ring structures, play a crucial role in enhancing the anticorrosion and antimicrobial performance of protective coatings. This review explores the recent advancements in the application of heterocyclic compounds for corrosion resistance and microbial inhibition, emphasizing their mechanisms of action, effectiveness, and …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 12, Issue 1, 2025 · pp. 16–21 Read article
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Transfer Learning in Deep Learning Models for Medical Imaging: Utilizing Pretrained Models to Improve Performance in Medical Image Analysis
Abstract: Transfer learning is now a trending technique in deep learning, especially in medical imaging. This technique solves landmark problems by utilizing the pre-trained models, including the limited availability of the annotated medical data and the time-consuming computational costs of training deep learning models from scratch. The generalizability of deep models could increase diagnostic precision for specific medical tasks, require fewer samples to train, and take less time to train due …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 1, 2025 · pp. 67–85 Read article
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Care Sched: Doctor and Patient Appointment Management
Abstract: The medical appointment system is a web application that uses PHP, JavaScript, and CSS to improve the efficiency of booking medical appointments. It features two interfaces: an admin side where patients and doctors manage their appointments and a user side where they may handle an appointment and to view records, and manage their medicines. The web platform that the system makes available provides a convenient online experience from any internet-enabled …
Published in International Journal of Computer Science Languages · Vol. 3, Issue 1, 2025 · pp. 1–12 Read article
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Data Mining for E-Commerce and Social Media: Insights and Future Research Directions
Abstract: The fast expansion of e-commerce and social media has heralded a new era of data-rich settings, with enormous quantities of user interactions, preferences, and transactions generated on a daily basis. Data mining has developed as a critical strategy for leveraging big datasets, allowing businesses to gain concrete knowledge and drive decision-making. Data mining in e-commerce improves operational efficiency and user pleasure by allowing for personalized recommendations, consumer segmentation, fraud detection, …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 1, 2025 · pp. 14–23 Read article