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1248 articles for “Automated”
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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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AbhiGyam: A Machine Learning Model-driven Research Platform for Assessing Accessibility Infrastructure in Indian Cities
Abstract: This work presents AbhiGyam, a machine learning-driven research platform designed to streamline and automate the assessment of accessibility infrastructure in Indian cities. AbhiGyam leverages the Google Maps API to transmit street view images to the backend, where computer vision techniques are implemented using OpenAI's CLIP (Contrastive Language-Image Pre-training) model to identify objects such as ramps, sidewalks, crosswalks, and parking spaces. The accuracy of the model is validated using labeled data …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 84–91 Read article
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Innovative Wireless Charging Solutions for Electric Vehicles
Abstract: As the automotive industry's future arises, electric vehicles (EVs) are at the forefront of zero-emission transportation technology. Although conventional plug-in charging stations are widely utilized, wireless power transfer (WPT) is an alternative. WPT may be used as either dynamic charging equipment for moving cars or static charging systems for parked cars. This study addresses the distinction between plug-in and wireless charging, the mechanics of wireless charging, various kinds of charging …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 2, Issue 1, 2024 · pp. 11–17 Read article
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Using Machine Learning for Key phrase Extraction in Digital Libraries
Abstract: Machine learning has revolutionized various aspects of information retrieval, including key phrase extraction in digital libraries. Key phrase extraction is crucial for summarizing and categorizing vast amounts of textual data, enabling efficient search and retrieval processes. This study explores the application of machine learning techniques for automatic key phrase extraction in digital libraries. We review various supervised and unsupervised learning algorithms, including deep learning models, that are employed to identify …
Published in International Journal of Cheminformatics · Vol. 1, Issue 2, 2023 · pp. 8–13 Read article
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X-Ray Insight: Deep Learning-Enhanced Detection and Grading of Knee Osteoarthritis
Abstract: Osteoarthritis (OA) is the most prevalent form of arthritis affecting the knee. It is a degenerative joint disease characterized by the gradual deterioration of cartilage, typically impacting individuals aged 50 and above, although it can also occur in younger people. The condition progresses slowly, with symptoms intensifying over time, leading to significant pain and discomfort. Early diagnosis and intervention can significantly alleviate pain and enhance the quality of life for …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 2, Issue 2, 2024 · pp. 1–6 Read article
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Hybrid Battery Swapping Station for EV Using Robotic Arms
Abstract: The Robotic Arm-Based Battery Swapping System indeed marks a significant stride in merging technology and sustainability. Its integration of robotics, computer vision, and renewable energy positions it as a ground breaking solution, reshaping the landscape of electric vehicle charging. This automated approach not only tackles inefficiencies in current methods but also serves as a blueprint for future advancements in the domain. The inefficiencies inherent in conventional electric vehicle battery replacement …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 2, Issue 1, 2024 · pp. 16–23 Read article
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Enhanced Efficiency in Electric Vehicles: Gyroscopic Sensor for Power Optimization
Abstract: This research focuses on the design and production of a smart electric vehicle that uses a controlled gyroscopic sensor and microcontroller to automatically transfer power from the internal system to the wheels and vice versa. The era of electric vehicles has only recently begun, but it will significantly expand the automobile industry to the point where modern fossil fuel vehicles will eventually become outdated. The fact that they are environmentally …
Published in International Journal of Optical Innovations & Research · Vol. 2, Issue 1, 2024 · pp. 32–40 Read article
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Vehicle Black Box Systems: Evolution, Implementation, and Impact on Road Safety
Abstract: The main goal is to create a Black Box System for Vehicle that can be used to enhance road safety. To record accident data, as well as the location of the accident, an SOS message, the temperature of the car, and an automatically administered breathalyzer test for the driver, we are developing a black box in this project. The Black Box for Vehicle can aid in making automobiles safer, gather …
Published in Journal of VLSI Design Tools and Technology · Vol. 14, Issue 2, 2024 · pp. 38–46 Read article
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The Evolution of Bio Crypt Keys: From Concept to Implementation
Abstract: With the rapid increase in data exfiltration due to cyber-attacks, Covert Timing Channels (CTCs) have emerged as a significant and sophisticated network security threat. These channels exploit inter-arrival times of data packets to exfiltrate sensitive information from targeted networks. Detecting CTCs increasingly relies on machine learning techniques, which use statistical metrics to differentiate between malicious (covert) and legitimate (overt) traffic flows. However, as cyber-attacks become more adept at evading detection …
Published in Journal of Control & Instrumentation · Vol. 15, Issue 2, 2024 · pp. 38–45 Read article
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Exploring Artificial Intelligence in the Finance Sector
Abstract: Artificial intelligence (AI), machine learning (ML), and progressive algorithms illustrate a substantial technological leap with wide applications across sectors like automobiles, healthcare, gaming, finance, entertainment, and more. The foremost objective of AI is to produce intelligent, independent systems capable of self-sustaining decision-making. This study delivers a concise summary of AI, concentrating on its transformative influence on finance, especially within banking, asset firms, derivatives markets, and insurance enterprises. It summarizes the …
Published in E-Commerce for Future & Trends · Vol. 11, Issue 3, 2024 · pp. 16–23 Read article
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Retinal Disease Detection Using Deep CNN
Abstract: Age-related macular degeneration, glaucoma, and diabetic retinopathy are the three main causes of blindness in the globe. To avoid visual loss, early identification and treatment of these disorders are essential. The goal of this research is to create an automated method for detecting retinal diseases by analyzing retinal fundus pictures with machine learning techniques. Python and the Tkinter package for the graphical user interface are used in the construction of …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 2, 2024 · pp. 46–50 Read article
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Avian Echoes: Convolutional Neural Network for Bird Vocalization Detection
Abstract: Bird species identification is a complex task within ornithology that demands advanced technological solutions. This research presents an approach leveraging Convolutional Neural Networks (CNNs) for bird species recognition based on identification of bird sound, each employing unique datasets and methodologies. The objective involves a two-stage identification process, beginning with the construction of an ideal dataset. The crucial step involves converting 1D audio waveforms to 2D spectrograms, enhancing CNNs' ability to …
Published in Journal of Aerospace Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 26–37 Read article
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From Sensors to Smartphones: Evaluating the Blynk IoT Smart Plant Monitoring System for Modern Gardening
Abstract: In our technologically advanced era, where automation permeates every aspect of our lives, even plants have been transformed into smart entities. This article explores the integration of various technical components to imbue plants with self-maintenance capabilities, eliminating the need for human intervention. The system discussed herein regulates moisture levels and temperature within plants, ensuring optimal growing conditions. It incorporates alerts to notify users of deviations from preset parameters and activates …
Published in Journal of Nuclear Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 18–27 Read article
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Enhancing Crop Health: A Review of Image Processing Methods for Leaf Disease Identification
Abstract: This research presents an overview of different image processing techniques for the identification of leaf disease. Many algorithms can be used to identify and categorize leaf diseases in plants, and digital image processing provides a quick, dependable, and accurate method of disease detection. This paper presents various techniques used on multiple crops and the achieved accuracy for each model. Leaf disease detection is a critical task in agriculture to ensure …
Published in Current Trends in Signal Processing · Vol. 14, Issue 1, 2024 · pp. 10–14 Read article
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Transforming Road Safety: A GPS Enhanced Car Accident Alert System for Rapid Emergency Response
Abstract: Road accidents continue to be a major global health concern, with consequences for both emergency response times and public safety. The “Transforming Road Safety: A GPS Enhanced Car Accident Alert System for Rapid Emergency Response” that this project suggests would help emergency services respond to car accidents more quickly and efficiently. In this review paper, we investigate a system that uses sensors and GPS to enhance road safety and accident …
Published in Current Trends in Signal Processing · Vol. 14, Issue 2, 2024 · pp. 19–24 Read article
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Artificial Intelligence Based Portable Robot Device for Autonomous Venepuncture
Abstract: Venepuncture is a source of medical hurt and is necessary for a wide range of therapeutic procedures. Venpuncture-related complications worsen in difficult settings, where the success rate is largely dependent on the physiology of the patient and the skill of the practitioner. It is difficult to find the vein for infants, adolescent girls, obese and elderly people and it is causing severe pain in the traditional manual blood drawing system. …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 2, Issue 1, 2024 · pp. 35–38 Read article
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Cybersecurity Innovations in Industrial Control Systems
Abstract: Industrial control systems (ICS) are essential for automating and managing industrial processes across a broad spectrum of sectors, including energy, manufacturing, transportation, and water treatment. Securing these systems is essential to avoid disruptions that could lead to significant economic losses and safety risks. Recent advancements in ICS cybersecurity encompass several key areas that collectively aim to bolster the security and reliability of these critical infrastructures, thereby enhancing industrial safety. Enhanced …
Published in Journal of Industrial Safety Engineering · Vol. 11, Issue 2, 2024 · pp. 15–19 Read article
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IoT-based Black Box Monitoring for Vehicle Crash Data Analysis and Improving Safety
Abstract: Road accidents are a significant global concern. This project proposes an Internet of Things (IoT)-based black box monitoring system for vehicles to enhance road safety through comprehensive crash data analysis. The system expands on traditional black boxes by incorporating various sensors (accelerometers, gyroscopes, GPS) and potentially in-cabin cameras (with privacy safeguards). This data offers a deeper understanding of crash dynamics, including impact severity, vehicle motion, and safety system deployment timing. …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 12, Issue 3, 2024 · pp. 7–13 Read article
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Novel Catalytic Strategies for Reducing Residual Stresses and Improving Surface Quality in Machined Ceramic Materials
Abstract: To prepare for material cutting and utilize utility-specific edges, it’s crucial to understand the inherent brittleness of ceramics. This brittleness limits the forming methods available and hinders achieving dimensional accuracy and precision through conventional machining techniques. The fabrication of composite materials is becoming increasingly significant, particularly in technical fields like the automotive industry, where they are used to manufacture engine connecting rods, propeller shafts, brake discs, and more. The machining …
Published in Journal of Catalyst & Catalysis · Vol. 11, Issue 2, 2024 · pp. 01–07 Read article
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Exploring Electric Skateboards: Comprehensive Insights into Design and Modeling
Abstract: Environmental protection and energy conservation have become primary concerns in the 21st century, prompting accelerated efforts to plan and develop electric vehicle (EV) technology. EVs offer numerous advantages, including zero emissions, the establishment of a new automobile industry, economic development, and the creation of efficient and smart transportation systems. This project introduces a foot-controlled steering system designed to enhance vehicle control, making it suitable for various road conditions and reducing …
Published in Trends in Electrical Engineering · Vol. 14, Issue 3, 2024 · pp. 39–45 Read article