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1992 articles for “Keywords”
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Advances in Heat Management for High-Efficiency Gas Turbines: Technologies and Applications
Abstract: Abstract Heat management plays a crucial role in enhancing the efficiency and performance of high-efficiency gas turbines. As the demand for cleaner and more energy-efficient power generation increases, optimizing heat management in gas turbines becomes essential. This article explores the latest advancements in heat management technologies for gas turbines, with a focus on their application to improve thermal efficiency, and operational reliability, and reduce emissions. Key techniques, such as advanced …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 10, Issue 2, 2024 · pp. 6–10 Read article
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Impact of Exhaust Gas Recirculation on NOx Emissions and Efficiency in Diesel Engines
Abstract: Abstract Exhaust gas recirculation (EGR) has emerged as a pivotal strategy to reduce nitrogen oxide (NOx) emissions from diesel engines, which significantly contribute to air pollution and environmental degradation. NOx emissions pose serious concerns due to their role in forming smog, acid rain, and adverse health impacts. By recirculating a portion of the exhaust back into the intake manifold, EGR reduces these emissions by restricting the manufacturing of NOx and …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 10, Issue 2, 2024 · pp. 1–5 Read article
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Design and Optimization of Gas Turbine Blades for High-Temperature Operations
Abstract: Abstract The design and optimization of gas turbine blades for high-temperature operations are critical to enhancing the efficiency and reliability of power generation and propulsion systems. These components operate under extreme conditions of heat, pressure, and mechanical stress, making their performance pivotal to the overall effectiveness of turbines. This study explores the key factors influencing blade performance, emphasizing the importance of material selection, thermal barrier coatings, aerodynamic design, cooling mechanisms, …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 10, Issue 2, 2024 · pp. 22–27 Read article
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Unsupervised Machine Learning:Revealing Hidden Data patterns
Abstract: Machine learning helps computers learn from data and make smart decisions. There are two main ways they do this: supervised and unsupervised learning. Supervised learning is like teaching a child with flashcards—you show the computer examples with the right answers, and it learns to recognize patterns. This helps it make predictions, like guessing whether an email is spam or estimating house prices. Unsupervised learning, on the other hand, is like …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 1, 2025 · pp. 38–47 Read article
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Real-Time Language Translation Application Using Tkinter
Abstract: This application, "Real Time Language Translation Application Using Tkinter," was created to develop a friendly tool by which users can instantaneously translate text from one language to another. Built using Python and the Tkinter library, it uses the integration of the Google Translate API to deliver an accurate translation with context while relying on Natural Language Processing technology through the system for Google's Neural Machine Translation. The GUI developed with …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 1, 2025 · pp. 26–32 Read article
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Tap & Serve: Digital Restaurant Management System
Abstract: Tap & Serve is a clever and user-friendly digital solution that makes restaurant operations much more efficient. Order taking, inventory control, billing, and ensuring that consumers receive excellent service are just a few of the daily duties it facilitates. Utilizing cutting-edge technology such as mobile apps, cloud storage, and real-time data, Tap & Serve reduces errors, saves time, and maintains efficiency. With the use of extensive analytics and reporting capabilities, …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 1, 2025 · pp. 16–25 Read article
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Evaluation of Machine Learning and Deep Learning Models for Classification Tasks on Crime Data: A Comparative Study
Abstract: The classification of crime data has grown more and more important for public safety and law enforcement due to the increasing demand for precise and effective predictive models. To classify crime data, this study assesses and contrasts the effectiveness of several machine learning (ML) and deep learning (DL) models, such as decision trees, support vector machines, neural networks, and convolutional neural networks. The study evaluates the models' accuracy, efficiency, and …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 1, 2025 · pp. 1–15 Read article
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Revolutionizing E-Voting with Blockchain: A Secure and Transparent Framework
Abstract: One of the biggest challenges facing contemporary democracies is guaranteeing the safety and openness of electoral procedures. Issues like voter fraud, tampering, and lack of transparency are common in traditional voting systems, whether they are electronic or paper-based, and they can erode public confidence. Blockchain technology, which provides a decentralized, transparent, and unchangeable electronic voting mechanism, has emerged as a viable remedy for these issues. This paper explores the implementation …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 11, Issue 1, 2025 · pp. 23–36 Read article
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Enhancing Glaucoma Detection with Convolutional Neural Networks: A Data-Driven Approach
Abstract: One of the main causes of irreversible blindness is glaucoma, which is characterized by certain alterations in the optic nerve that over time can impair vision. Manual evaluations, while invaluable, are challenged by inconsistencies, subjectivity, and the extensive time required. The study employed a dataset comprising retinal images annotated by experts. By using Convolutional Neural Networks (CNNs) to study and recognize important patterns in eye images, it was possible to …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 11, Issue 1, 2025 · pp. 1–6 Read article
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From Early Innovations to Modern Breakthroughs: The Evolution and Applications of Microprocessors
Abstract: Microprocessors have revolutionized modern technology, starting with the groundbreaking Intel 4004, the first commercially available microprocessor. These versatile chips have since evolved dramatically, advancing from 4-bit architectures to today\u2019s 64-bit ultra-core processors. This paper explores the progression of microprocessor technology, highlighting key milestones, such as the introduction of integrated circuits, multi-core architectures, and advanced instruction sets. The study examines microprocessors’ widespread applications, including personal computing, gaming, consumer electronics, and industrial …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 11, Issue 1, 2025 · pp. 7–14 Read article
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Smart City Parking: Using AI, IoT, and Cloud for Real-Time Space Management
Abstract: Limited parking places and ineffective management make parking in crowded cities frequently frustrating. Congestion and time loss result from traditional parking systems' lack of real-time updates. We suggest a smart parking system that uses Firebase, a real-time database that guarantees real-time updates, to address this. A smartphone app and sophisticated sensors placed in parking spots make up our solution. Users can use the app to determine parking availability in real …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 11, Issue 1, 2025 · pp. 37–42 Read article
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Innovative Digital Clusters for EVs: Design, Features, and User Experience
Abstract: This paper examines the development of digital dashboards (clusters) in electric vehicles (EVs) aimed at providing drivers with clear, real-time, and essential information. As EV adoption continues to rise due to government incentives and growing environmental awareness, the demand for an intuitive, user-friendly, and efficient dashboard has become increasingly important. An EV’s digital cluster displays crucial data, such as speed, battery level, estimated driving range, and energy consumption. Additionally, it …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 11, Issue 1, 2025 · pp. 15–22 Read article
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A Review on Cognitive Radio Sensor Networks for Internet of Things
Abstract: Cognitive radio sensor networks (CRSNs) can effectively manage communication through clustering. This paper examines Internet of Things Cognitive Radio Sensor Networks. An important step towards a world of smart technology is the Internet of Things (IoT) system based on Cognitive Radio (CR). Many frameworks for creating CR-based IoT systems have been put forth. IoT frameworks based on CR are the main topic of the survey. One possible approach to improving …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 1, 2026 · pp. 29–33 Read article
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Analyzing Applications and Risks of IoT in Education: A Comprehensive Approach
Abstract: By promoting student involvement, increasing administrative effectiveness, and developing intelligent learning environments, the Internet of Things (IoT) is revolutionizing the education industry. Smart classrooms, interactive whiteboards, and real-time attendance systems are just a few examples of IoT-powered gadgets that are enhancing accessibility and customization in education. The potential impact that IOT can have on various industries is huge, including the education industry. IoT (internet of things) can be said as …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 1, 2026 · pp. 20–28 Read article
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Voice Drive: Advancing Human-Machine Interaction in Vehicle Control
Abstract: Voice Drive is a cutting-edge project focused on developing an advanced voice-controlled vehicle system with integrated acceleration control, powered by Raspberry Pi and Bluetooth technology. The system's primary objective is to provide intuitive and hands-free control of vehicle acceleration and movement through voice commands, enhancing user experience, safety, and performance. Key components of Voice Drive include sophisticated voice recognition algorithms, precise motor control mechanisms, and seamless Bluetooth communication protocols. Through …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 1, 2026 · pp. 14–19 Read article
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FROM CLOUD TO EDGE – THE COMPREHENSIVE IMPACT OF EDGE AI
Abstract: By bridging the divide between localized device intelligence and centralized cloud computing, edge artificial intelligence can transform existing businesses and social paradigms. Extreme real-time data processing, enhanced privacy, and decreased latency are among the capabilities. To comprehend how Edge AI interacts with hybrid systems that result in full integration with cloud computing, this paper thoroughly examines the whole architecture and important technologies utilized in this technology.Autonomous driving, smart cities, healthcare …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 1, 2026 Read article
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To Study the Effects on Mechanical Properties ofConcrete by Partial Replacement of Sand with MetallicSwarf
Abstract: Abstract The utilization of metallic swarf in concrete manufacturing is increasing in importance due to its environmental and economic benefits. However, the mechanical qualities of such concrete frequently appear inferior to regular concrete. To improve the mechanical characteristics of standard concrete, numerous additives have been researched, but the utilization of metallic swarf remains a mystery. This research investigates the recycling of waste metallic swarf produced in the automobile industry and …
Published in International Journal of Mechanics and Design · Vol. 11, Issue 1, 2025 · pp. 54–60 Read article
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Design and Development of an Interactive Robotic Companion with Expressive Personality Traits
Abstract: Abstract This study introduces the development of an interactive robotic companion designed to enhance human-robot interaction (HRI) through mobility, animatronic eye movements, and natural language processing (NLP). Targeting broader accessibility, the prototype aims to provide companionship, especially for elderly individuals and those with physical limitations. The system integrates an Arduino MEGA 2560 microcontroller with key components, including an Echo Dot for NLP and voice recognition, servo-controlled animatronic eyes for lifelike …
Published in International Journal of Mechanics and Design · Vol. 11, Issue 1, 2025 · pp. 1–14 Read article
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Deep Learning for Smarter Farming: Innovations in Plant Disease Identification
Abstract: Agriculture is the backbone of global food security, yet plant diseases significantly impact crop yields and farmers' livelihoods. Traditional disease detection methods are often time-consuming and require expert intervention, making them less feasible for large-scale farming. Recent advancements in deep learning have revolutionized plant disease identification by offering automated, accurate, and efficient solutions. This article explores innovative deep learning techniques, including convolutional neural networks (CNNs) and transformer-based models, that enhance …
Published in International Journal of Microwave Engineering and Technology · Vol. 11, Issue 1, 2025 · pp. 27–32 Read article
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IoT-Powered Weather Monitoring and Irrigation Automation: Transforming Modern Farming Practices
Abstract: It is proposing an IoT-based weather monitoring system. This will monitor, in real-time, the critical environmental parameters aid for farming. Soil moisture, temperature, humidity, and rainfall will be measured parameters that help optimize agricultural practices and perfect the use of water. The IoT technology will, therefore, include a microcontroller such as NodeMCU that tracks soil moisture levels and automates irrigation. If the soil moisture falls below 50%, then the programming …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 1, 2025 Read article