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1180 articles for “FEA”
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Design, Functionality and Applications of Water Chiller Variant
Abstract: This research paper provides a thorough examination of water chillers, focusing on their design, functionality, and diverse applications. By analysing different types of chillers, their operational mechanisms, and specific uses across industries, this study aims to enhance understanding and offer insights into the selection and implementation of water chillers in various setting. Alternative Water Chiller Panels are employed in cooling systems to regulate the water chiller's functioning. Actuators, temperature sensors, …
Published in Recent Trends in Fluid Mechanics · Vol. 11, Issue 3, 2024 · pp. 30–36 Read article
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CFD Analysis of a Bladeless Propelling Unit for the Drones
Abstract: Conventionally, unmanned aerial vehicles (UAVs) and autonomous aerial vehicles (AAVs) utilize bladed propellers to produce lift, altitude, and thrust for propulsion. Yet, these blades are susceptible to abrasion when they contact external surfaces, resulting in diminished operational efficiency over time. Our ongoing investigation introduces a pioneering approach by integrating bladeless propeller technology, drawing inspiration from Dyson’s Bladeless Fan Theory. This study seeks to address the wear-related shortcomings of conventional propeller …
Published in Recent Trends in Fluid Mechanics · Vol. 11, Issue 3, 2024 · pp. 37–46 Read article
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Comparative analysis of carbon fibre and E-glass fibre characteristics
Abstract: In the contemporary automotive industry, the imperative focus on energy efficiency has driven the central role of lightweight, addressing challenges such as emissions reduction and fuel efficiency. Extensive research is underway to develop lightweight materials enhance recyclability, integration feasibility, and overall fuel efficiency These experiments were conducted in agreement with ASTM D638, ASTM D790-03, and ASTM D790 standards to ensure adherence to industry standards and facilitate meaningful comparisons. For the …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 253–267 Read article
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Diabetes Prediction Using ML Techniques
Abstract: Diabetes mellitus, commonly referred to as diabetes, denotes a cluster of prevalent endocrine disorders characterized by persistent elevated levels of blood sugar. Diabetes is classified into two main types: type 1 and type 2. Type 1 diabetes arises when the body is unable to produce insulin, while type 2 diabetes involves either insulin resistance or insufficient insulin production. Early detection and intervention are essential to reduce its harmful impacts. The …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 11, Issue 3, 2024 · pp. 1–9 Read article
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Prevention of Primary Hypertension Through Asbab-e-Sitta Zaruriya: A Therapeutic Paradigm
Abstract: Hypertension, defined as blood pressure elevation to a level that increases the risk of organ damage, Recent guidelines classify hypertension as systolic blood pressure ≥130 mmHg or diastolic blood pressure ≥80 mmHg, distinguishing between primary (essential) and secondary forms. It affects over one billion individuals globally and contributes to approximately 9.4 million deaths annually. Nearly 63% of total deaths in India are due to non-communicable diseases, of which 27% are …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 11, Issue 3, 2024 · pp. 13–20 Read article
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The Roles of Language and Communication in Transforming and Sustaining National Development in Nigeria
Abstract: The objective of this paper is to assess the roles of language and communication in transforming and sustaining national development in Nigeria. There is the need to educate the people on how to use language and communication skills to achieve peace. An attempt is also made to highlight the objectives of language and communication skills, the processes involved and the channels to use in communicating. The paper finally suggests ways …
Published in Emerging Trends in Languages · Vol. 1, Issue 2, 2024 · pp. 31–36 Read article
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Detection of Phished URLs Using Machine Learning
Abstract: Phishing attacks remain a significant cybersecurity challenge, requiring innovative detection strategies. This study investigates the use of machine learning to detect phishing URLs, to improve the accuracy and reliability of detection systems. Utilizing a diverse dataset of legitimate and phishing URLs we extracted the features such as lexical properties, domain-specific details, and HTML content to train various machine learning models. Algorithms including Random Forest, support vector machine (SVM), and gradient …
Published in Journal of Web Engineering & Technology · Vol. 11, Issue 3, 2024 · pp. 1–7 Read article
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Stealth Listening Device and Global Positioning System Tracker
Abstract: The Audio Spy and GPS tracker device functions as a covert listening tool, enabling users to secretly overhear conversations through a cellular network. Additionally, it serves as an SOS (Save Our Souls) button, allowing users to send their current location via SMS with a simple press of a button. This feature also initiates a call to a designated SOS number, while the device can be tracked by sending a single …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 12, Issue 3, 2024 · pp. 1–6 Read article
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ESP32 CAM-based Surveillance Car with Tilt, Pan, and Zoom Capabilities: A Review
Abstract: This project focuses on developing a mobile surveillance robot using a Wi-Fi-enabled module controlled via a smartphone, designed for discreet observation and remote monitoring. The spy robot system includes essential hardware such as a camera, motor drivers, batteries, and wheels for movement. The main component is the AI Thinker ESP32-CAM module, featuring an ESP32-S processor and OV2640 camera, capable of capturing and streaming video at 640x480 resolution. The camera offers …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 12, Issue 3, 2024 · pp. 31–37 Read article
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Real-time Operating Systems in the Era of IoT: Challenges and Solutions for Time-Critical Applications
Abstract: Real-time operating systems (RTOS) are essential in the Internet of Things (IoT), as they ensure timely responses to events, which is critical for the performance and reliability of connected devices. This paper delves into the unique challenges faced by RTOS in IoT environments, highlighting issues such as limited computational resources, strict latency requirements, and the increasing need for robust security mechanisms. The resource constraints inherent in many IoT devices, which …
Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 3, 2024 · pp. 13–24 Read article
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Exploring the Development of AI Models Using Open-Source Tools to Predict Patient Outcomes and Optimize Treatment Plans
Abstract: Integrating artificial intelligence (AI) into healthcare offers a transformative opportunity to enhance patient care and clinical decision-making. Through the use of predictive analytics, AI can significantly enhance the accuracy of outcome predictions and assist in developing personalized treatment plans that cater to each patient’s specific needs. This paper delves into the development of AI models using open-source tools, which are increasingly favored for their accessibility, collaborative nature, and capacity for …
Published in Journal of Open Source Developments · Vol. 11, Issue 3, 2024 · pp. 37–49 Read article
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Comparative Analysis of Modern Programming Paradigms: Evaluating Language Efficiency and Compiler Design Technique
Abstract: This paper attempts to provide some insights into the efficiency of modern programming paradigms via a comparative study and explore the important role played by compiler design in the optimization of these languages. Programming languages have been evolving quickly over time and different paradigms: imperative, functional, or object-oriented programming come with their idiosyncrasies and optimization techniques. The study starts by defining the foundational principles of each paradigm. It then goes …
Published in Recent Trends in Programming languages · Vol. 11, Issue 3, 2024 · pp. 1–9 Read article
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Role of Functional Programming Languages in Blockchain Applications
Abstract: Functional programming (FP) languages play an increasingly influential role in blockchain applications, offering features that address critical challenges such as security, scalability, and reliability. The inherent characteristics of FP—immutability, pure functions, statelessness, and concurrency support—align well with blockchain’s decentralized and deterministic structure, making FP languages a natural fit for developing secure and verifiable smart contracts. Languages like Haskell, OCaml, and Erlang have proven effective in minimizing code errors, enabling formal …
Published in Recent Trends in Programming languages · Vol. 11, Issue 3, 2024 · pp. 21–27 Read article
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Machine Learning Innovations for Effective Spam Comment Filtering in Social Networks
Abstract: The increasing prevalence of social media platforms has revolutionized communication, fostering unparalleled levels of connectivity and data exchange. However, the widespread increase in spam comments presents a serious threat to the integrity of online discussions, potentially undermining the quality of interactions. To confront this issue, our proposed model utilizes machine learning techniques to bolster spam comment detection across various social media platforms. This endeavor involves a thorough investigation encompassing data …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 2, Issue 2, 2024 · pp. 19–24 Read article
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Efficient Malware Detection in Cybersecurity: Leveraging Advanced Data Structures for Enhanced Threat Identification
Abstract: The cybersecurity landscape is constantly changing with more advanced malware creating major challenges for detection systems. To address these challenges effectively, advanced data structures have become essential in optimizing how data is managed, processed, and analyzed for malware detection. This review paper delves into the role of several cutting-edge data structures—bloom filters, tries, hash tables, graphs, decision trees, and suffix trees—in enhancing the efficiency and accuracy of malware detection mechanisms. …
Published in International Journal of Data Structure Studies · Vol. 2, Issue 2, 2024 · pp. 32–40 Read article
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Investigating the Occurrence and Damage of Wild Pig (Sus scrofa) in Cassava Ecosystems of Kerala
Abstract: The study investigates the occurrence and impact of wild pigs on cassava crops in selected locations of Thrissur and Palakkad districts of Kerala, spanning from July 2022 to May 2023. Data were collected from 10 sites, where each 1-acre field was divided into 5 quadrants for monitoring. The presence of wild pigs was tracked weekly through pug marks, infrared cameras, and farmer reports, while the extent of cassava plant damage …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 13, Issue 3, 2024 · pp. 16–20 Read article
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Comprehensive Security Frameworks for 6G Wireless Networks: Analysis and Insights
Abstract: As the transition from 5G to 6G wireless communication networks accelerates, the landscape of network security is undergoing a profound transformation. This work presents a comprehensive study of emerging security challenges associated with 6G wireless networks. With 6G anticipated to support unprecedented data rates, ultra-low-latency, and seamless integration of diverse technologies such as the Internet of Things (IoT), artificial intelligence (AI), and augmented reality (AR), the security paradigm must evolve …
Published in International Journal of Wireless Security and Networks · Vol. 2, Issue 2, 2024 · pp. 35–41 Read article
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Ethanol or EV - The Future Alternative for India's Automotive Energy Industry
Abstract: The research paper compares economic performance before deciding on whether to choose ethanol or electric cars against petroleum products in India. For India's serious air pollution problems, energy security concerns and rapid urbanization, it is important changing to sustainable transport modes. This study examines how India’s policies concerning EVs and ethanol, market trends for these vehicles as well as technological advancement would promote them as cleaner alternatives to vehicles using …
Published in Journal of Automobile Engineering and Applications · Vol. 11, Issue 3, 2024 · pp. 38–51 Read article
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Exploring the Complexities of Parkinson’s Disease
Abstract: Parkinson’s disease (PD) is a neurological disorder, primarily affecting older adults, marked by both motor and non-motor symptoms. This review explores PD as a multisystem disorder that influences the central, enteric, and autonomic nervous systems, along with the immune system and gastrointestinal tract. Key pathogenic features include the degeneration of dopamine-producing neurons in the substantia nigra and the formation of Lewy bodies containing misfolded α-synuclein proteins. The bradykinesia, tremors, stiffness, …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 14, Issue 3, 2024 · pp. 1–8 Read article
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Smart Glasses Using Ultrasonic Sensor and AI for Blind Person
Abstract: Smart glasses has received considerable attention recently from people around the world. This research paper introduces a pioneering project, 'Smart Glasses Using AI and Ultrasonic Sensor,' aimed at revolutionizing the assistive technology landscape for visually impaired individuals. The project seamlessly integrates advanced hardware, including Raspberry Pi and Node MCU, with an array of sensors and state-of-the-art machine learning techniques, notably the YOLOv5 model. This paper presents a new paradigm in …
Published in Recent Trends in Sensor Research & Technology · Vol. 11, Issue 2, 2024 · pp. 1–9 Read article