All articles
678 articles
-
Centre Stage of Wireless Sensors in Healthcare: Application and Remote Patient Management
Abstract: The efficiency of wireless sensors in healthcare is greatly influenced by technological progress. The capabilities of these devices have been improved by advancements in wireless communication, data analytics, and sensor technologies. Patients may wear more comfortable, smaller, and more precise modern sensors. They have the ability to track many different physiological characteristics, ranging from simple vital signs to more intricate biomarkers. Understanding the massive volumes of data produced by wireless …
Published in Journal of Microcontroller Engineering and Applications · Vol. 11, Issue 2, 2024 · pp. 10–16 Read article
-
Integration of Computer Vision with Raspberry Pi in Surveillance Robotics
Abstract: An enhanced method for tracking the weather at a specific location and having the data viewable from anywhere in the world is the system described in this paper. The technology behind this is the Internet of Things (IoT), a state-of-the-art and efficient way to connect devices to the internet and connect everything in the world in a network.. Things like electronic devices, sensors, and vehicle electronics could be found here.Temperature, …
Published in Journal of Microcontroller Engineering and Applications · Vol. 11, Issue 2, 2024 · pp. 22–27 Read article
-
Driver Observation and Automatic Braking System Using Arduino
Abstract: Autonomous braking systems and driver observation are two important developments in car safety technology that are intended to reduce accidents brought on by tired drivers. An eye blink sensor has been incorporated in the device. The sensors recognize an eye blink automatically once the driver starts the engine. This gadget displays the sensor's output so that it may be compared to the Arduino. The eye blink sensor gets a signal …
Published in Journal of Microcontroller Engineering and Applications · Vol. 11, Issue 2, 2024 · pp. 28–33 Read article
-
Integration of IoT and Environmental Science: Vehicle Emission Monitoring Perspective
Abstract: — Since automobiles are the primary source of environmental pollution, an increase in automobile ownership also results in an increase in air pollution. Gases such as methane, butane, LPG, smoke (MQ2), carbon monoxide (MQ7), and hydrogen gas (MQ8) are all released from the vehicle as it smokes. Cars produce around half of the MQ2, MQ7, and one-fourth of the MQ9 in our environment, which contributes to global warming. The number …
Published in Journal of Microcontroller Engineering and Applications · Vol. 11, Issue 2, 2024 · pp. 1–9 Read article
-
Sign Language to Speech Translation and Emergency Alert System for Dumb persons using Ml and IOT
Abstract: This project proposes a novel approach for gesture recognition using key point extraction and neural networks. Our proposed system leverages key point extraction techniques to capture fine-grained spatial information from input gestures. These key points are then fed into a neural network model, allowing for automatic feature learning and robust gesture classification. The goal of this project is to integrate OpenCV's computer vision capabilities to build a flexible and effective …
Published in Journal of Microcontroller Engineering and Applications · Vol. 11, Issue 2, 2024 · pp. 17–21 Read article
-
A Novel Solution to Oral Hygiene
Abstract: This paper proposes a novel approach to oral health monitoring through the development of a smart toothbrush equipped with a camera, pH sensor, and temperature sensor. The integration of these sensors allows for real-time monitoring and early detection of potential oral health issues such as cavities, gum disease, pyorrhea and enamel erosion. The camera provides visual data for assessing plaque buildup and other visible signs of oral health problems, while …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 2, 2024 · pp. 29–34 Read article
-
Fuzzy C-Means Clustering for Effective Segmentation and Classification of Brain Tumors in MRI Scans
Abstract: The paper discusses the importance of detecting and classifying brain tumors via MRI for effective treatment. It proposes a framework utilizing the Fuzzy C-means clustering algorithm for segmentation, demonstrating improved performance through real dataset validation. The model is trained on a large, annotated MRI dataset to identify and classify different tumor types, enabling machine learning-based classification into benign and malignant tumors. The MATLAB-based solution automates brain tumor feature extraction, aiding …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 2, 2024 · pp. 23–28 Read article
-
Identification of Brain Stroke Using Artificial Intelligence
Abstract: Globally, strokes are the primary cause of disability and mortality. Recently, machine learning (ML) and deep learning (DL) have been employed by artificial intelligence algorithms as effective stroke diagnosing techniques. These days, machine learning and data mining technologies are used in the construction of the main models. We have used five machine learning algorithms to determine if a stroke has occurred or is likely to occur based on a patient’s …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 2, 2024 · pp. 15–22 Read article
-
Items and Interior Design Solutions that Make Premises Comfortable for A Living
Abstract: Making open residing spaces is fundamental for advancing prosperity and happiness inside the home climate. This theory investigates different things and inside plan arrangements that add to improving solace in living premises. First, agreeable furnishings, including rich couches, strong rockers, and delicate footrests, give actual unwinding and empowers relaxing and mingling. Warm lighting installations, like floor lights and wall sconces with warm-conditioned bulbs, make a comfortable feel and add to …
Published in International Journal of Optical Innovations & Research · Vol. 2, Issue 1, 2024 · pp. 1–16 Read article
-
Low-cost Vehicle Data Acquisition System
Abstract: The Vehicle and Driver Data Acquisition System Kit is an integrated solution designed to capture, analyze, and store essential information related to both vehicles and their drivers. This comprehensive kit incorporates cutting-edge sensors, communication modules, and data processing capabilities to provide a robust platform for real-time monitoring and post-event analysis. In the domain of electric vehicles (EVs), the need for effective data collection systems has become increasingly crucial. The current …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 2, 2024 · pp. 9–14 Read article
-
Identifying and Implementing a Machine Learning Model Suitable for Processing Visually Evoked Potential
Abstract: A Brain-Computer Interface (BCI) is a system that translates brain activity patterns into computer commands, bypassing physical movement. Electroencephalography (EEG) is commonly used to acquire signals in BCI research. Visual evoked potentials (VEPs) are brain responses in the visual cortex to visual stimuli. Recent studies show that exposing individuals to flickering at a consistent frequency generates EEG signals synchronized with the stimulation. Efficient extraction of VEP signals begins with preprocessing …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 2, 2024 · pp. 1–8 Read article
-
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
-
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
-
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
-
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
-
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
-
The Role of Majority Functions in Enhancing Full Subtractor Performance in High-Density Logic Circuits
Abstract: In the present trend of very large-scale integration (VLSI) technology, implementing a Boolean function with the fewest number of gates (logic) has always been important. Low power design strategies now provide much more benefits than in the past. Performance, affordability, and dependability may be key issues in this area of technology design. Power dissipation is now recognized as a crucial component in the development of competitive market areas such wireless …
Published in Journal of Semiconductor Devices and Circuits · Vol. 11, Issue 2, 2024 Read article
-
Smart Contracts in Supply Chain Management: A Blockchain Perspective
Abstract: In recent years, blockchain technology has emerged as a transformative force capable of enhancing transparency, security, and efficiency across various industries. Supply chain management is one area where blockchain integration has a lot to offer. This paper explores the application of blockchain technology within supply chain systems, focusing on its potential to streamline operations, reduce fraud, and enhance traceability. By leveraging the decentralized and immutable nature of blockchain, stakeholders can …
Published in Recent Trends in Sensor Research & Technology · Vol. 11, Issue 2, 2024 · pp. 10–18 Read article
-
Multi-factor Fused Lightpath QoT Prediction for Optical Networks: A Multiple Reservoir Analysis Strategy
Abstract: Investigating the channel quality of transmission (QoT) in-depth is crucial for responsive and instant transparent optical network management. However, current lightpath QoT predictions are devoted to univariate modeling. Due to the QoT metrics complicated time-varying process and the existing effects of inter-channel factors, despite the use of an advanced and efficient echo state network (ESN), it is difficult to obtain ideal results in univariate prediction mode. Thus, this paper considers …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 1, 2024 · pp. 28–34 Read article
-
V2V Communication Using LiFi
Abstract: The global status report on road safety launched by the World Health Organization (WHO) highlights that the number of annual road traffic deaths has reached 1.35 million. In the USA over 37,000 people die in road crashes each year and an additional 2.35 are injured or disabled. The direct impact of road accidents is loss of life as well as damage to vehicles and property. Accidents might happen due to …
Published in International Journal of Optical Innovations & Research · Vol. 2, Issue 1, 2024 · pp. 17–24 Read article