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194 articles for “Types of frames”
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Using Artificial Intelligence to Leverage against COVID-19
Abstract: Coronavirus disease (COVID-19) is a pandemic disease cases are increasingexponentially, which has made it difficult to identify and treat the patients challenging the treatment strategy. Thanks to the latest evolution in the field of information and communication technologies (ICT), artificial intelligence (AI) and Big Data which helps insurveying, forecasting and curing the outbreak. AI’s specialty to develop models from large amount of information and data–fusing atomic, analyticand illustrate data – …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 8, Issue 1, 2021 · pp. 7–10 Read article
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Efficient CRC Implementation in 10G Ethernet and DigRF V4 Protocol
Abstract: AbstractCRC is the most commonly used error detection technique in most of the digital logic designs and communication links, so as to confirm whether the received digital message has got any error or not, and whether it has been corrupted in the transmission in between the different modules of the design or not. The protocols or the devices which are required to be operated at higher speed like 10G Ethernet …
Published in Journal of Web Engineering & Technology · Vol. 4, Issue 3, 2017 · pp. 19–24 Read article
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Emerging Trends in 5G and Beyond-5G Wireless Networks
Abstract: Wireless networks have evolved in the blink of an eye from 4G to 5G and are progressing towards beyond-5G (B5G) frameworks, leading to revolutionary changes in connectivity, speed, and network smarts. This review discusses trending features, challenges, and future trends of 5G and B5G wireless communications technologies. It presents chief goals of 5G, such as ultra-low latency, high spectral efficiency, massive machine-type communication, and up to 10 Gbps user data …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 12, Issue 3, 2025 · pp. 11–19 Read article
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Comparative Assessment of Polymers and Composites for Solar Panels: Fundamentals, Performance Metrics, Manufacturing, and Sustainability
Abstract: This paper presents a comprehensive review of the main types of Photo Voltaic polymers and composites such as crystalline silicon (both mono- and poly-Si), thin-film tech (CdTe, CIGS, a-Si), perovskites, and organic/dye-sensitized cells and analyses the parameters such as efficiency, fill factor, open-circuit voltage, temperature response, and degradation. The analysis focusses on polymers and composites and manufacturing techniques like vapor deposition, roll-to-roll printing, and both solution and vapor techniques for …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 120–130 Read article
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Intelligent Transportation System Avoids Collision by Disseminate the Warning Messages in Vehicular Adhoc Network
Abstract: Roads overload leftovers a critical issue while they are invariably increased so as to increase their capacity and enhance their effectiveness. This can be likely to cause many troubles specified ecologically, financially and socially. The progress of urban traffic management systems, structure and development of roads are solutions to handle this problem and acquire better the performance of the road transmission, but these solutions are high-priced and also need extra …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 8, Issue 3, 2021 · pp. 28–38 Read article
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Polymer Chemistry in Shoulder Orthotics
Abstract: The design of effective shoulder orthotic devices has increasingly made use of polymeric materials because of their versatility, durability, and biocompatibility. This review illustrates polymer chemistry role in constructing an orthotic device for shoulder subluxation, which is a commonly occurring post stroke or injury condition. Proprietary design elements such as polypropylene are rigid yet moldable which help in anatomical formulating for joint stabilization. On the other hand, rubber elastomers, medicinal …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 21–28 Read article
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Information Fusion Based IoT Semantic Data
Abstract: Today there are millions of heterogeneous devices around us which are attached with different types of sensors to collect real world data and to communicate with other devices. As a result, interoperable service-oriented technologies are required to share the real-world data among these heterogeneous devices to integrate and fuse these semantic data. To solve this problem, a frame-work for multi-source heterogeneous information fusion based on the information of semantic data …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 5, Issue 2, 2017 · pp. 29–34 Read article
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Software Testing Framework for Mobile Cloud
Abstract: In this article, we discussed a number of tools and their service providers for performance and functional testing. Cloud testing is often used for performance or load testing, and not for functional testing. There are many factors that make testing in a cloud environment more attractive and better than traditional testing methods, but at the same time, it faces many problems and challenges, because the IT industry is constantly changing …
Published in Recent Trends in Parallel Computing · Vol. 5, Issue 3, 2018 · pp. 1–10 Read article
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Investigation of Mechanical Properties of Banana, Linen and Their Hybrid Reinforced Composite Laminates in Adverse Condition and Analyze Using ML
Abstract: This research investigates the mechanical performance of composite laminates reinforced with banana and linen fibers, focusing on both individual and hybrid fiber combinations. The primary objective is to assess how these natural fiber composites behave under extreme environmental conditions, particularly high humidity and fluctuating temperatures, which are common in aerospace and automotive applications.Key mechanical properties—tensile strength, flexural strength, and impact resistance—are experimentally evaluated to assess the performance and long-term reliability …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 25–31 Read article
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Robustness of Deepfake Detection Systems Against Adversarial Attacks
Abstract: This paper explores a deep learning system to detect deepfake videos, a common type of fake media. With the use of sophisticated methods such as recurrent neural networks (RNNs) and convolutional neural networks (CNNs), our system can reliably discern between authentic and altered videos. It analyzes both the images and the audio in videos to find signs of deepfake manipulation. We process video frames and audio, extract features with CNNs …
Published in Journal of Instrumentation Technology & Innovations · Vol. 14, Issue 2, 2024 Read article
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Developing Operating System Simulation Software for Windows Based System by C# .NET Framework and an Android Application by JAVA and XML
Abstract: AbstractThe academic course named operating system (OS) is very important for undergraduate students in computer science and engineering (CSE) related discipline. In this course, the teachers mainly deliver lectures on the fundamentals issues of OS, process scheduling, paging, deadlocks handling etc. In this paper, windows OS based desktop simulation software has been developed with a view to coordinating the teachers and students to conduct the OS course interactively. Also, the …
Published in Journal of Operating Systems Development & Trends · Vol. 4, Issue 1, 2017 · pp. 9–18 Read article
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Blockchain Technology: Systematic Review of Security and Privacy Problems and Its Scope with Cloud Computing
Abstract: The Blockchain is a mutual, disseminated record that encourages the process of account exchanges and following resources in a business organization. Blockchain empowers parties who do not completely confide in one another to keep up a lot of worldwide areas. It is a system comprised of transactions, immutable ledgers, decentralized peers, encryption processes, consensus mechanisms, optional smart contracts. It is a digital innovation which is meant to drastically alter financial …
Published in Journal Of Network security · Vol. 7, Issue 1, 2019 · pp. 1–6 Read article
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Review of Dominance Analysis: An Approach for Determining the Relative Importance of Predictors
Abstract: A lot of methods had been developed to explain the unclear concept of relative importance for independent variables. One of the most important methods for determining the relative importance of predictors is dominance analysis, which is a technique that determines variable importance, based on comparisons of unique variance contributions of all pairs of variables involving all possible subsets of predictors. The aim of this paper is to take a closer …
Published in Research & Reviews : Journal of Statistics · Vol. 9, Issue 3, 2020 · pp. 23–35 Read article
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Design and Development of Mini-Groundnut Oil Extraction Machine for Domestic Purpose
Abstract: A machine is designed to extract various types of oil from groundnuts. The primary purpose of this machine is to facilitate the extraction of oil using a mechanical extraction method, specifically employing a screw press mechanism to crush the seeds and extract the oil. The design prioritizes portability, ease of use, and high extraction efficiency. It comprises several components, including the frame, hopper, gear reduction unit, pulleys, bearings, and power …
Published in Journal of Materials & Metallurgical Engineering · Vol. 15, Issue 2, 2025 · pp. 31–38 Read article
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Smart Fitness Assistance using AI
Abstract: In computer vision, human body pose estimation is the study that aims at predicting the poses of human body parts and joints. In this project, visual languages are built based on skeleton poses. We present a real-time body tracking pipeline that predicts body posture. Once the joints of the body have been localised to represent a specific part of the human body, we can use them for wider ranges of …
Published in Journal of Open Source Developments · Vol. 9, Issue 1, 2022 · pp. 11–16 Read article
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Neuro-Symbolic Agentic AI for Autonomous Scientific Discovery: Integrating Deep Reinforcement Learning, Quantum Simulation, and XAI-Audited LLM Hypothesis Generation in Drug Target Identification
Abstract: The exponential growth of multi-omics data and the increasing complexity of disease-associated protein interactomes have rendered conventional drug target identification pipelines computationally and epistemologically inadequate. This paper presents the Neuro-Symbolic Agentic AI for Scientific Discovery (NS-AASD) framework, a unified architecture that cohesively integrates deep reinforcement learning (DRL) exploration strategies, variational quantum simulation (VQS) of protein conformational dynamics, and XAI-audited large language model (LLM) hypothesis generation within an autonomous scientific discovery …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 · pp. 15–24 Read article
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SOLAR AND WIND POWER BASED ELECTRIC VEHICLE
Abstract: Each nation is moving more and more towards renewable energy sources like solar and wind power nowadays. Many nations throughout the world continue to use cars that are powered by fuels like petrol and diesel. This type of car emits a dangerous amount of CO2. As a result, the planet warms up. We therefore developed a concept called "Solar and Wind Power Based Electric" to prevent this. Fuel engines will …
Published in Journal of Thermal Engineering and Applications · Vol. 10, Issue 1, 2023 · pp. 31–37 Read article
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IOT and algorithmic intelligent motor health monitoring as well as maintenance prediction
Abstract: Manufacturing, transportation, and energy systems rely largely on industrial electric motors, and their untimely failure can result in expensive downtime, safety hazards, and decreased operational efficiency. The majority of traditional motor maintenance procedures rely on reactive methods or routine inspections, which frequently miss early-stage problems and lead to needless maintenance or unexpected breakdowns. This project offers an Intelligent Motor Health Monitoring and Predictive Maintenance System that combines Internet of Things …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 4, Issue 1, 2026 · pp. 28–37 Read article
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An Overview of the Design and Optimization of Antennas Employing Machine Learning Algorithms and Methodologies
Abstract: This paper offers a comprehensive exploration of the integration of machine learning (ML) techniques in antenna design and optimization, reflecting the burgeoning interest and potential impact of ML in emerging technologies. The first segment conducts a detailed literature survey, elucidating conventional computational electromagnetic and numerical methods preceding an in-depth discussion on the core facets of ML, encompassing diverse learning categories and frameworks. Additionally, it provides a mathematical exposition on regression …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 10, Issue 3, 2023 · pp. 1–12 Read article
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Physico-Chemical Analysis of Soil Quality Parameters in Tamilnadu Region An Analytical Approach Towards Life on Land -SDG 15
Abstract: This study examines the physico-chemical properties of soil in Tamilnadu region, supporting SDG 15’s framework for sustainable land management. Soil, as a vital non-living component, plays a crucial role in ecosystem functioning by facilitating nutrient cycling, retaining water, and supporting habitats for a wide range of organisms. The research analysis key physical parameters (colour, texture, structure, porosity, density, consistency, temperature) and chemical properties, focusing on both macro and micronutrients. Various …
Published in International Journal of Solid State Innovations & Research · Vol. 3, Issue 1, 2025 · pp. 9–15 Read article