All articles
40 articles
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Optimizing RFID-Based Toll Gate System: A Novel Approach to Reducing Latency and Enhancing Traffic Flow
Abstract: This study presents a novel approach aimed at boosting the efficiency of Radio Frequency Identification (RFID) based toll gate systems. Traditional RFID-based toll gates function by reading the RFID data from the vehicle, fetching the corresponding user information from a centralized server, and subsequently deducting the toll amount from the user’s account. This process, while effective, inherently introduces a latency period. This latency, particularly during peak hours, can result in …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 3, 2024 · pp. 41–50 Read article
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Suraksha Sathi: An Innovative SOS Application for Personal Safety
Abstract: Even in this increasingly connected age, personal safety is still of utmost importance. A smartphone software called Suraksha Sathi makes use of cutting-edge technology to improve user safety. Its SOS function uses geolocation to determine the precise location of users, facilitating prompt replies from people and emergency agencies. It is built using flutter and dart and includes REST APIs for data sharing, location services APIs, and Google Maps. The development …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 3, 2024 · pp. 27–40 Read article
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An Intelligent cloud system for disaster communication and management involving IoT mesh networks
Abstract: Disaster coordination and communication are key areas of rescue. Nevertheless, the frequent interruptions in old communication channels underscore the need for alternative approaches. Modern communication technologies play a critical role in enhancing disaster management. This study proposed an effective approach wherein a local communication network is created which will aid emergency responders in responding to disasters, with the aim of improving their ability to handle emergencies quickly and efficiently. Advanced …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 3, 2024 · pp. 1–8 Read article
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Hybrid Approach for Community Detection Using Deep Learning Techniques
Abstract: Community detection in complex networks is a fundamental problem with applications across diverse domains, ranging from social networks to biological systems and beyond. Traditional methods based on graph theory have been widely used for identifying communities within networks. However, the intricate and evolving nature of modern networks demands more sophisticated approaches. This research work proposes a hybrid approach that combines the strengths of deep learning techniques with traditional community detection …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 3, 2024 · pp. 18–26 Read article
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Comparative Study of Facial Spoofing Detection using CNN Architecture
Abstract: Facial recognition systems face a high risk of security breach due to various facial spoofing attacks. This challenge was addressed by the study of several deep learning models. This study proposes an idea to detect facial spoofing using deep learning architecture to differentiate live faces form various types of spoofed images/videos using different CNN models. In addition, the study seeks to strengthen security measured in facial recognition system demonstrating that …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 3, 2024 · pp. 9–17 Read article
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Integrating Blockchain with IoT: A Survey of Security Techniques and Future Directions
Abstract: Data is a resource that is more crucial than ever for each company that comes to mind. The ability to swiftly and efficiently collect data anywhere is made possible by current breakthroughs and trends such as cloud computing, IoT, data analytics, and others. One of those concerns is the need to strike a balance between privacy and the use of data for security in applications such as IOT, counterterrorism, and …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 2, 2024 · pp. 25–31 Read article
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Leafguard: Smart Plant Health Detection
Abstract: Machine learning techniques, including traditional (shallow) ML, deep learning (DL), and augmented learning (AL), are being increasingly utilized for leaf disease classification. These methods involve feature extraction, data augmentation, and transfer learning to enhance model effectiveness and reduce the need for labeled data. The success of machine learning approaches in this domain hinges on the quality and quantity of data available. LeafGuard is a cutting-edge device with intelligent sensing systems …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 2, 2024 · pp. 32–39 Read article
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Advancements in Intrusion Detection: Tackling Imbalanced Network Traffic with Machine Learning and Deep Learning Techniques
Abstract: Malicious cyberattacks can frequently hide enormous amounts of typical data in unbalanced network traffic. It is very stealthy and obfuscating in cyberspace, which makes it challenging for Network Intrusion Detection Systems (NIDS) to guarantee the precision and promptness of detection. This essay investigates. Machine learning and deep learning are utilized for intrusion detection in imbalanced network traffic. It offers a novel method for addressing the problem of class imbalance termed …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 2, 2024 · pp. 18–24 Read article
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CNC-Based Rangoli Drawing Machine
Abstract: The CNC based Rangoli draw machine is an artful fusion of technology and traditional artistic expression. Those automated device, utilizing computer numerical control (CNC) principles, is designed for crafting intricate designs on sand or creating vibrant Rangoli patterns with precision and efficiency. Users can program the machine with their desired designs, specifying every detail, and watch as it meticulously dispenses sand or colored materials onto the canvas. It offers a …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 2, 2024 · pp. 11–17 Read article
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Advancement in Image Classification: Media Player Control Using Hand Gestures
Abstract: We explore the development of picture categorization methods in this paper, with an emphasis on how they are used to manipulate media players with hand gestures. Our investigation focuses on the development of machine learning techniques, particularly on supporting vector machines (SVM) and convolutional neural networks (CNN). SVMs are used to identify and authenticate people from digital photos or video clips, but CNNs are great at face detection, which is …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 2, 2024 · pp. 1–10 Read article
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Arduino Uno-based Clap Detection Light Control System
Abstract: Lamp technology plays a pivotal role in providing illumination, enhancing various daily activities for countless individuals. The author endeavors to create a prototype tool equipped with a system capable of seamlessly toggling lights on and off, fostering efficiency and eliminating the need for physical interaction. This system enables the activation and deactivation of lights through the detection of sound generated by human movement, thus obviating the necessity to physically manipulate …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 1, 2024 · pp. 32–38 Read article
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Empowering Communication: A Review of Sign Language Translation Systems Powered by Machine Learning
Abstract: This research study offers a fresh solution to the communication gap between the hearing population and the deaf and hard-of-hearing community: the creation of a machine learning-based sign language translator. By utilizing cutting-edge K Nearest Neighbour (K-NN), the system effectively converts sign language motions into text and vice versa, facilitating smooth communication between sign language users and well-read people. The basis of the project is thorough data collection and careful …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 1, 2024 · pp. 25–31 Read article
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Ransomware Detection and Prevention Using Honeypot
Abstract: The significance of network security and explores the details of ransomware attacks, highlighting the crucial parameters essential to fortifying defences against this pernicious cyber threat. Network security involves safeguarding computer networks against unauthorized access, data breaches, and cyberattacks. Ransomware attack, a specific type of cyberattack, entail malicious software encrypting a computer system, making them unavailable to use in return attacker asks for ransom in form of cryptocurrency like Bitcoin or …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 1, 2024 · pp. 8–13 Read article
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Exploring the Viability and Implications of Quantum Communication in 6G Networks
Abstract: The development of telecommunication systems has brought us to the era of 6G, characterized by remarkable connectivity, speed and performance achievements. This article investigates the fusion of quantum communication into the architecture of 6G networks as a new approach to achieving security and efficiency. Using quantum mechanics principles, such as superposition and entanglement, quantum communication allows bloodless encryption and secure data transmission. The theoretical frameworks and quantum networks for 6G …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 1, 2024 · pp. 01–14 Read article
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Raspberry Pi Based Tactical Autonomous Surveillance System
Abstract: In the ever-evolving realm of security and surveillance, the need for autonomous systems capable of operating in challenging environments has become increasingly evident. The Raspberry Pi-Based Tactical Autonomous Surveillance and Self-Destruction System addresses this need by combining advanced sensor technology, robust communication capabilities, and a self-destruction mechanism to provide a comprehensive security solution. This project proposes a Raspberry Pi-based tactical autonomous surveillance system that can be used to monitor and …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 1, 2024 · pp. 1–7 Read article
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The DVB-H Standard: Comparative Analysis of the Results Obtained for Various Modulation Techniques and Different Code Rates
Abstract: DVB-H happens to be the technical specification for the transmission of digital TV to mobile telephones and PDAs—handheld receivers. Published as a formal standard, DVB-H is a physical layer specification designed to facilitate the proficient delivery of IP-encapsulated data over terrestrial networks. The making of DVB-H, which is closely associated with DVB-T, also entailed modifications of some other DVB standards dealing with data broadcasting, service Information, etc. It can be …
Published in Recent Trends in Electronics Communication Systems Read article
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Coverage Driven Verification of Synchronous FIFO using UVM
Abstract: FIFO (first in first out) is a memory array in which the data written first into the memory will be read first with the help of the control signals read and write where the control signal write is used to write the data into the memory and the control signal read is used to read the data from the memory. To avoid the memory overflow and to know that whether …
Published in Recent Trends in Electronics Communication Systems Read article
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Development of Game Theory Strategy for Estimating Mobility Variety in Approaching Wireless Networks
Abstract: Game theory designed with a set of structured tools with an evaluation tool for the tedious interaction among logical players. This theory approaches for analyzing of communication networks, which functions with autonomous structured networks and the designed network devices can take rational decisions according to network congestion. The proposed structure consists of mixture frame for channel allocation for random probability for accessing channel. The main objective of this work is …
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Blind Image Quality Assessment using NSS Approach in the DCT Domain
Abstract: We have develop an efficient model for improving image quality using IQA and NSS based on blind image Quality Assessment. This algorithm does computation for the parameters which user expect at output. The certain extracted features approach depends on a simple Bayesian inference model to dipict image quality scores. The project features are based on statistic scenes of discrete cosine transform for images. The resultant parameters of the model are …
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Comparative Analysis of the Model of DVB-T Model Using Various Modulation Techniques 16 QAM & 64 QAM for the Primary Colors
Abstract: Computerized TV broadcasting is the spirit without bounds transmission. Progressions in advanced innovation, pressure in sound and video flagging and other flag handling systems' improvement lead to qualitative change in the field of digital/computerized TV. Usage of a coaxial link and through satellite and earthbound way, computerized transmission is made conceivable. Digitized TV would execute the convolution coding plan alongside OFDM adjustment strategy. The pressure is done and afterward the …
Published in Recent Trends in Electronics Communication Systems Read article