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1135 articles for “Proposed”
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Autonomous Infection Control System
Abstract: Escalating problems arise mainly at hospitals due to transmission of microbes through air, which causes life threatening situations. Doctors, nurses and other members are more vulnerable to diseases from within the place. PPE kits and other disinfecting procedures require an in-human presence to do the work, which makes it more challenging and puts the person's life at risk. In current scenarios, human presence is required for sanitising and cleaning procedures, …
Published in Journal of Mechatronics and Automation · Vol. 11, Issue 2, 2024 · pp. 12–18 Read article
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Higher Order Sliding Controller Parameter Determining Method: A Research
Abstract: In this paper, it is generally believed that sliding switching surfaces should reflect the design parameters of the system in variable structure control, and the control characteristics are the way to constrain the state on sliding switching surfaces. In the literature, classical sliding (primary sliding) is considered that sliding-switching surface is the same as the characteristic equation of the closed-loop system, and the design of the control system is reflected …
Published in Trends in Electrical Engineering · Vol. 14, Issue 2, 2024 · pp. 51–66 Read article
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Assessing the Risk of Working with Chemicals in an Automotive Unit
Abstract: Today's human life is mixed with chemicals that can affect human health independently or independently. Also, many occupational diseases are caused by chemicals. Prevention of occupational diseases caused by exposure to life chemicals It saves people and improves the quality of life of other workers. The purpose of this study is to know the risks caused by chemicals, to evaluate It is the risk of hazards and the proposal of …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 15, Issue 3, 2024 · pp. 36–42 Read article
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IntelliGaurd WebScan: Uncovering Dark Patterns on E-Commerce Websites
Abstract: Dark patterns are deceptive design elements that influence user behavior online, frequently with unexpected results that go beyond personal experiences. These deceptive methods unintentionally encourage excessive consumption, which can seriously impede sustainability initiatives. This paper presents IntelliGuard WebScan, a system created specially to identify and combat these dishonest strategies. Employing painstaking examinations and assessment of heterogeneous datasets and rigorous experimentation with multiple algorithms, among them a support vector classifier (SVC), …
Published in E-Commerce for Future & Trends · Vol. 11, Issue 3, 2024 · pp. 24–32 Read article
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Optimization of V/F Control in Asynchronous Motors Using Adaptive Bee Colony Optimization
Abstract: : Asynchronous motors play a pivotal role in various industrial applications, utilizing electromagnetic induction to convert electrical energy into mechanical energy. This paper provides an in-depth exploration of their design principles, focusing on the rotor, stator, and coil configurations. Induction motors are categorized into single-phase and three-phase types, each suited to different power supply configurations and operational requirements. The study outlines a comprehensive methodology for modeling and simulating induction motor …
Published in Trends in Electrical Engineering · Vol. 14, Issue 2, 2024 · pp. 67–86 Read article
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Iot Based Industrial Pollution Monitoring System
Abstract: This paper introduces a robust IoT-based industrial pollution monitoring system aimed at addressing the critical need for effective environmental management in industrial settings. By leveraging sensor networks and real-time data analytics, the system provides continuous monitoring of various pollutants emitted from industrial activities. The integration of IoT devices streamlines data collection, transmission, and analysis, offering timely insights for proactive decision-making. This system not only facilitates compliance with environmental regulations but …
Published in International Journal of Pollution: Prevention & Control · Vol. 2, Issue 2, 2024 Read article
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A Review Study of Bio-Psycho-Social Challenges and Interventions for Women During their Perinatal Period
Abstract: Pregnancy causes women to face dynamic and sudden changes in their body and psyche, and sometimes they might as well feel dissociated or separated from the journey. Even though they mentally adapt to the pregnancy, they require constant support at all levels to face the challenges during this crucial period. The goal of the current research is to examine the bio-psycho-social challenges and interventions for women during their perinatal period. …
Published in International Journal of Children · Vol. 1, Issue 2, 2024 · pp. 31–37 Read article
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Mechanically Operated Portable Hydrotesting Setup
Abstract: Hydrostatic testing is a crucial process in ensuring the integrity and safety of pressure vessels, pipelines, and various other industrial equipment. Traditional hydrostatic testing setups often require significant infrastructure and resources, limiting their accessibility and flexibility, especially in remote or constrained environments. This research paper presents the design, development, and implementation of a portable hydro testing setup tailored to address these challenges. The proposed setup offers a compact, versatile, and …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 2, Issue 1, 2024 · pp. 21–27 Read article
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Energy harnessing solution using a vertical axis wind turbine installed on the automotive rooftop.
Abstract: The transportation sector plays a major role in greenhouse gas emissions, prompting worldwide initiatives to mitigate its environmental effects. While the shift from internal combustion engines to electric vehicles is growing, it often merely shifts emissions rather than eliminating them, as fossil fuels continue to dominate energy production. A comprehensive solution requires universal access to renewable energy sources like wind, solar, and hydro power, which is currently impractical due to …
Published in Journal of Automobile Engineering and Applications · Vol. 11, Issue 3, 2024 · pp. 1–21 Read article
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Fertilizer Prediction Using Machine Learning
Abstract: Fertilizer prediction is a critical aspect of modern agriculture, aimed at optimizing resource utilization while maximizing crop yields. In recent years, machine learning (ML) techniques have emerged as powerful tools for addressing this challenge by leveraging data-driven approaches to predict the optimal type and quantity of fertilizer required for different crops and soil conditions. This research paper provides a comprehensive review of the existing literature and methodologies employed in fertilizer …
Published in Journal of Mechatronics and Automation · Vol. 11, Issue 2, 2024 · pp. 26–35 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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Addressing Accountability and Fair Practices in Labor Contracting for Sustainable Harvesting in the Sugar Industry
Abstract: This study promotes the use of blockchain technology to solve issues with labor data management in the sugar business. Through decentralized blockchain storage, the proposed solution protects the security and openness of labor data, with an emphasis on preventing unethical activity by contractors holding numerous simultaneous contracts. Smart contracts make it easier for contractors to register and keep track of engagements, which helps the sugar industry enforce contractual compliance and …
Published in International Journal of Solid State Innovations & Research · Vol. 2, Issue 1, 2024 · pp. 1–7 Read article
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Attitude Control System for Flight: A Comprehensive Review
Abstract: Attitude control systems is an integral part of flight control systems because they are responsible for the stability and maneuverability of different airborne vehicles within all flight regimes. The following paper presents an extensive overview of attitude control systems that are commonly in use in various flight applications and examines their design implementation, and performance on the space. The paper starts with a general overview of the main mechanisms of …
Published in International Journal of Solid State Innovations & Research · Vol. 2, Issue 1, 2024 · pp. 8–14 Read article
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Detection and Classification of Brain Tumor from MRI And CT Images using Harmony Search Optimization and Deep Learning
Abstract: Primary brain tumor detection and classification are critical factors in ensuring effective treatment and, ultimately, improving patient well-being. This paper describes a novel method for detecting and classifying brain tumors with the help of magnetic resonance imaging (MRI) and computed tomography (CT) images. The suggested method combines harmony search optimization (HSO) and Convolution Neural Networks (CNN) based on deep learning techniques, yielding an impressive accuracy rate of 99.13% for both …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 3, 2024 · pp. 31–49 Read article
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ML Associated DoS and DDoS Attack Observation in Protection
Abstract: DoS and DDoS assaults are significant risks to the availability and integrity of online services and networks. Attack traffic might come from a variety of geographical regions, making it difficult to filter and neutralize the attack. DDoS attacks are far more sophisticated and powerful than DoS attacks. They use a network of compromised devices, known as a botnet, to launch a coordinated attack on a target. Monitoring and evaluating the …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 1, 2024 · pp. 18–26 Read article
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Machine Learning Approaches for Phishing Detection: A Comparative Study
Abstract: These days, everyone has an internet addiction. All of us have used the internet for banking, booking, recharging, and buying. Phishing is a type of website threat that exists online. On the original website, phishing is an attempt to illegally obtain information such as login ID, password and credit card information. In this research, we proposed an efficient phishing detection system based on machine learning. Overall, the experimental findings demonstrated …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 1, 2024 · pp. 35–45 Read article
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Smart Mining Helmet
Abstract: The demand for coal as energy resource is always an important and significant part in our life. However, over the years many miners have lost their lives by facing accidents during the mining process due to lack of implementation of technology and monitoring systems. Now with the development of smart technology even the mining industry is adopting the technology for the safety of the miners. Hence in this paper, we …
Published in Journal of Industrial Safety Engineering · Vol. 11, Issue 2, 2024 · pp. 1–6 Read article
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In-depth Evaluation of the CBR Method in Flexible Pavement Design
Abstract: The California Bearing Ratio (CBR) value of the subgrade is a crucial parameter utilized in the design of flexible pavements, as recommended by the Indian Roads Congress (IRC). The choice of materials used in constructing the pavement can significantly influence its overall design and performance. Pavements play an essential role in ensuring traffic flows smoothly, safely, and efficiently. Generally, pavements are categorized into two types: flexible and rigid. Flexible pavements …
Published in Trends in Transport Engineering and Applications · Vol. 11, Issue 2, 2024 · pp. 1–6 Read article
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Artificial Machine Intelligence Language for Banking Chatbot
Abstract: The developed system introduces a banking chatbot utilizing Artificial Intelligence Markup Language (AIML) to enhance customer interactions within the banking sector. With the increasing demand for efficient customer service and the adoption of automated systems, chatbots have emerged as a pivotal solution for banks to streamline operations and improve user experience. The proposed banking chatbot leverages state-of-the-art natural language processing (NLP) algorithms powered by AIML to interpret user queries, provide …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 3, 2024 · pp. 8–13 Read article
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CLA0D1T—Auditing AWS Services S3 and IAM
Abstract: The swift embrace of cloud computing has revolutionized how organizations handle and provide their services, delivering unmatched scalability, flexibility, and cost-effectiveness. However, this shift has also introduced a range of new security challenges and vulnerabilities, particularly concerning data access and identity management. This project specifically aims to address these issues within the context of Amazon Web Services (AWS), focusing on auditing the Simple Storage Service (S3) and Identity and Access …
Published in Journal Of Network security · Vol. 12, Issue 3, 2024 · pp. 1–12 Read article