All articles
154 articles
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Enhancing Image Quality with Deep Learning Techniques for Restoration and Denoising
Abstract: Abstract: Clear and high-quality images have become more and more necessary in recent years due to the rapid development of computer vision-based autonomous systems, including autonomous driving, underwater robots, video surveillance, and medical imaging. However, real-world circumstances, such as inclement weather, underwater scenes, and moving cameras, can lead to poorer-quality photographs. These degradations, which include color distortions, noise, and blurring, hurt how well visual systems accomplish tasks like target tracking, …
Published in International Journal of Broadband Cellular Communication · Vol. 10, Issue 2, 2024 · pp. 1–6 Read article
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IoT Based Smart RFID Application in Healthcare
Abstract: The Internet of Things has become a promising technology in recent years that expands the idea of the internet and makes it more widespread, enabling smooth communication between all kinds of devices. To connect “Everything” and make it smarter, the Internet of Things plays several roles, including identification, information gathering, exchange and processing, decision-making, and security. Two important technologies that facilitate intelligent decision-making across a range of applications are cloud …
Published in International Journal of Microwave Engineering and Technology · Vol. 10, Issue 2, 2024 · pp. 24–29 Read article
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CNN-Based Traffic Sign Recognition with Voice Alerts
Abstract: Traffic sign recognition is a crucial component of intelligent transportation systems, significantly enhancing road safety by aiding both autonomous and human drivers. This paper presents a convolutional neural network-based traffic sign recognition system integrated with voice alerts. Our approach utilizes a deep learning model trained on a comprehensive dataset of traffic signs to accurately identify various road signs in realtime. Upon recognition, the system issues corresponding voice alerts to inform …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 10, Issue 2, 2024 · pp. 1–9 Read article
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Predictive Analytics in E-Learning: Enhancing Student Performance Through Machine Learning Models
Abstract: With the explosion of electronic devices and internet technologies in today’s world, the amount of data we store has grown massively. Data is simply information that has been organized in a way that makes it easy to share or work with. A potent technology that enables computers to learn from data without direct programming is machine learning, which we employ in our research. The focus of this study is on …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 10, Issue 2, 2024 · pp. 1–5 Read article
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Enhancing Network Alarm Handling Efficiency: An Improved Apriori Algorithm with FCM Approach
Abstract: Network alarm systems generate large volumes of alarms, often resulting in redundant or irrelevant data that complicates efficient fault detection and resolution. This paper presents an enhanced approach to network alarm handling by integrating the Apriori algorithm with the Fuzzy C-Means (FCM) clustering method. The Apriori algorithm is used to uncover frequent alarm patterns, while FCM addresses the complexity of overlapping alarm data, enabling the association of alarms with varying …
Published in International Journal of Broadband Cellular Communication · Vol. 10, Issue 2, 2024 · pp. 1–6 Read article
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Performance Study of AODV, OLSR, and DSDV Routing Protocols in Mobile AD HOC Networks
Abstract: This study presents a performance evaluation of three prominent routing protocols in mobile ad hoc network: ad-hoc on-demand distance vector, optimized link state routing, and destination-sequenced distance vector. Efficient routing protocols are required to be sustained in dependable communication in mobile ad hoc network due to the dynamic and decentralized nature of the network. Ad hoc on-demand distance vector belongs to the reactive protocol category that creates routes on demand; …
Published in International Journal of Microwave Engineering and Technology · Vol. 10, Issue 2, 2024 · pp. 38–60 Read article
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Strategy and Simulation of Smart Prepaid-PostpaidElectricity Meter with Alarm and Anti-Theft Controller
Abstract: Prepaid electricity meters with electrical protection generally control internal electricity and external electricity theft as whole electricity. Internal electricity theft occurs after the electrical energy is captured by the meter, while external electricity theft occurs before the electrical power reaches the meter. The percentage of electricity revenue was lost due to electricity theft and mismanagement. However, most of these losses are due to electricity theft. Illegal electricity use must be …
Published in International Journal of Microwave Engineering and Technology · Vol. 10, Issue 2, 2024 · pp. 12–23 Read article
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Effective Power Theft Identification in Advanced Metering Infrastructure with the Use of Smart Metre Data – A Review
Abstract: Power theft, also known as the unlawful act of stealing electrical energy, encompasses a range of illegal actions, such as tampering with meters, unauthorized connections, billing discrepancies, and unpaid bills. With advancements in electronic meters, tampering and magnetic locking have become virtually impossible. Consequently, the most common types of power theft today involve direct hooking from the power line, physical obstructions, and bypassing the energy meter. Power consumer dishonesty is …
Published in International Journal of Microwave Engineering and Technology · Vol. 10, Issue 2, 2024 · pp. 30–37 Read article
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Digital Revolution in Indian Agricultural Marketing by “Agrivault”
Abstract: “Agrivault”, is an app developed as a solution to the pressing challenges faced by Indian farmers in the realm of agricultural marketing. As the agriculture sector is the backbone of India's economy, Agrivault endeavors to address inefficiencies in traditional marketing systems by incorporating modern digital technologies. The work aims to bridge the gap between storage providers and farmers, mitigating losses and enhancing economic viability for agricultural stakeholders. Key features of …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 10, Issue 2, 2024 · pp. 1–7 Read article
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Network Intrusion Detection Using Wireshark and Machine Learning
Abstract: The growth of networked devices has highlighted the desire for advanced intrusion detection (IDS) tools to protect digital systems from evolving cyber threats. Traditional IDS systems are often difficult to adapt to the threat environment because they rely on predefined signature lists. This study presents a new approach that combines Wireshark, a widely used network packet analysis tool, with advanced machine learning for intrusion detection. Our system leverages Wireshark's data …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 10, Issue 1, 2024 · pp. 23–31 Read article
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Eye Blink Gesture-based Home Automation Control System
Abstract: The "Eye Squint Gesture-Based Home Automation Control System" is an innovative approach to home automation that utilizes forward thinking gestures to control various household appliances and devices. The system enables users to control devices without the need for physical interaction through the use of a camera to capture and interpret the gestures made by users. This home automation system offers numerous benefits compared to traditional methods. One of the main …
Published in International Journal of Broadband Cellular Communication · Vol. 10, Issue 1, 2024 · pp. 13–20 Read article
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Revolutionizing Healthcare: The AI-Driven Transformation
Abstract: Artificial Intelligence (AI) is the use of machines, especially computers, to act intelligently without much human interference. AI is basically accepted as coming into existence with the development of robots. The term robot derives from the word robata, that means use of biosynthetic machines as forced labor. Now a days, AI is spreading its arms in the medical field by use of robotic-assisted surgery, for complex urologic and gynecologic procedures. …
Published in International Journal of Digital Communication and Analog Signals · Vol. 10, Issue 1, 2024 · pp. 7–12 Read article
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Tools and Concepts for Building A Collaborative Project Discovery and Development Platform: A Literature Review
Abstract: Collaborative project platforms have become indispensable in modern project management, especially with the rise of remote work, accentuated by the COVID-19 pandemic. This literature review synthesizes recent studies to explore the dynamics of collaborative project platforms, focusing on tool choices, usage patterns, and challenges. Organizations need to be ready to take on the obstacles that come with implementing projects. This study collects information on the objectives and issues faced by …
Published in International Journal of Digital Communication and Analog Signals · Vol. 10, Issue 1, 2024 · pp. 13–18 Read article
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A Smart Recommendation System for Carrier Shipper Matching Using Multilabel Classification – A Survey
Abstract: Efficient matching between carriers and shippers is crucial in the logistics industry to optimize resource utilization and minimize costs. This paper puts forth a smart recommendation framework dependent on multilabel classification techniques to improve the carrier-shipper matching process. The method makes use of machine learning techniques to predict multiple relevant carrier options for a given shipment request. We present a comprehensive literature review on related works in carrier-shipper matching and …
Published in International Journal of Broadband Cellular Communication · Vol. 10, Issue 1, 2024 · pp. 1–7 Read article
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Innovative Solutions for Paralysis Care through Smart Technology and Automation
Abstract: When a part of the body becomes paralyzed, it sometimes even loses its feeling of touch. Multiple sclerosis, severe or lateral stroke, spinal cord injuries, and other conditions are common causes of paralysis. Moreover, disorders or trauma to the nervous system may disrupt the nerve signals that reach the extremities, resulting in paralysis. The goal of this proposed effort is to reinvent the treatment of paralysis by utilizing innovative approaches …
Published in International Journal of Broadband Cellular Communication · Vol. 10, Issue 1, 2024 · pp. 21–25 Read article
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Innovative Robotic Solutions for Safe Landmine Detection and Neutralization
Abstract: Given the proliferation of weaponry in today's globe, national security is critical. It is crucial to consider the security of both army personnel and residents of places that are likely to experience conflict because of this. In essence, a landmine is an explosive weapon that the enemy has concealed underground. Anytime a person or a car passes over it, it explodes. The pressure created by people or cars on the …
Published in International Journal of Broadband Cellular Communication · Vol. 10, Issue 1, 2024 · pp. 8–12 Read article
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AI-Based Fraud Detection in Financial Transactions
Abstract: Financial fraud continues to pose a severe danger to individuals, businesses, and the global economy, necessitating the development of effective and innovative detection and prevention approaches. This research study examines the use of artificial intelligence (AI) techniques to detect fraudulent conduct in financial transactions. This paper investigates the advancements, challenges, and courses of AI-based fraud detection in financial transactions through a thorough examination of the research, case studies, and practical …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 10, Issue 1, 2024 · pp. 1–9 Read article
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The Profound Impact of Virtual Communication Technologies on Team Collaboration in the Contemporary Work Environment
Abstract: The contemporary work environment is undergoing a paradigm shift propelled by globalization and technological advancements. This research investigates the profound impact of virtual communication technologies on team collaboration, exploring the implications for organizational dynamics, productivity, and structure. Through an exhaustive review of literature, case studies, and empirical evidence, this study endeavors to unveil the challenges and opportunities arising from the integration of virtual communication tools in today's workplace. Examining the …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 10, Issue 1, 2024 · pp. 45–60 Read article
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Maculopathy Detection and Recommendation using Machine Learning
Abstract: Maculopathies, a diverse group of eye diseases affecting the central portion of the retina, the macula, are a leading cause of vision loss globally. Early detection and accurate diagnosis are critical for timely intervention and preventing irreversible vision loss. However, traditional methods such as manually detecting the disease are time-consuming, tiring, and often lack sensitivity and specificity, hindering optimal patient care. Here we delve into the applications of machine learning …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 10, Issue 1, 2024 · pp. 10–16 Read article
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Plotting Precision: Exploring the Capabilities of XY Plotters in Modern Research
Abstract: An XY Plotter machine is proposed in this paper to produce precise and consistent graphical output for customers. It consists of two axis which are perpendicular to each other, each axis has a motorized carriage that moves independently. The precision and accuracy of the axis arm movement allow it to produce detailed drawings, graphs, and diagrams. XY Plotter fulfills the industry’s demand for accuracy and precision. The XY plotter is …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 10, Issue 1, 2024 · pp. 17–26 Read article