Search
200 articles for “Signal Integrity”
-
Muscle Computer Interface for Recovering People
Abstract: The muscle-computer interface (MCI) has emerged as a promising technology for enhancing the recovery process of individuals with paralyzed limbs or disabilities. This paper explores the application of MCI in the context of recovering people and addresses the challenges faced by such individuals. Traditional rehabilitation methods often have limitations in terms of engagement, feedback, and real-time interaction, which hinder the recovery progress. In response to these challenges, the proposed MCI …
Published in Journal of Mechatronics and Automation · Vol. 11, Issue 3, 2024 · pp. 8–15 Read article
-
Integrative Therapeutics for Antimicrobial Resistance and Autoimmune Disease: Evidence and Pathways
Abstract: Background: Antimicrobial resistance (AMR) is accelerating globally, while autoimmune diseases and adverse drug reactions (ADRs) continue to rise. Ayurveda offers immunomodulatory, antimicrobial, and detoxification‑oriented interventions that may complement biomedical strategies. Objective: To propose a hypothesis‑driven integrative model combining Ayurvedic phytotherapy, panchakarma detoxification, and personalized dosha‑based care with evidence‑based medical management to mitigate AMR emergence, modulate autoimmunity, and reduce ADR incidence. Methods: A synthesis of mechanistic literature on Ayurvedic herbs with …
Published in Research and Reviews : A Journal of Immunology · Vol. 16, Issue 2, 2026 · pp. 25–30 Read article
-
A Comprehensive Review of Deep Compressive Sensing for Efficient IoT Data Management
Abstract: The Internet of Things has revolutionized data-driven ecosystems and offers advanced services, such as live monitoring and automation in various domains: smart cities, healthcare, and industrial automation. However, with the exponential growth of IoT devices, comes a large amount of data generation, which poses considerable problems like network congestion, latency, and energy inefficiency. Compressive sensing (CS), one of the newest signal processing methodologies, has emerged as an enabler to meet …
Published in Trends in Electrical Engineering · Vol. 14, Issue 3, 2024 Read article
-
Design and Implementation of an Automatic Rain Sensing Wiper System Using SEN0545 Sensor and Raspberry Pi Pico W
Abstract: This study presents the design and development of an intelligent, automatic rain-sensing wiper system designed to enhance vehicle safety. The system utilizes a SEN0545 capacitive rain sensor, integrated with internal signal processing, and a Raspberry Pi Pico W microcontroller as its central control unit. The proposed approach enables non-contact and corrosion-free rain detection, ensuring reliable performance under varying environmental conditions. Based on the detected rainfall intensity, the controller dynamically adjusts …
Published in Trends in Electrical Engineering · Vol. 16, Issue 2, 2025 Read article
-
Continuous Glucose Monitoring Device
Abstract: Managing diabetes effectively requires regular monitoring of blood glucose levels, which is traditionally done through invasive methods like finger-prick tests. This work introduces a non-invasive blood glucose monitoring system utilizing the MAX30100 pulse oximeter sensor and Internet of Things (IoT) technology. The system estimates glucose levels by analyzing infrared (IR) light absorption properties, eliminating the need for direct blood sampling. Key components include the ESP32 microcontroller, cloud-based data storage, and …
Published in Journal of Electronic Design Technology · Vol. 16, Issue 3, 2025 · pp. 1–6 Read article
-
Lysogenic Phage Cocktails with Embedded Fluorophores for Field Wound Diagnostics.
Abstract: Rapid and accurate detection of wound infections in field settings remains a critical challenge in emergency and military medicine. Conventional microbiological diagnostics are time- consuming and laboratory-dependent. Bacteriophages, particularly lysogenic phages, offer high specificity toward bacterial hosts and can be engineered as diagnostic tools. A translational framework was developed for lysogenic bacteriophage cocktails embedded with fluorophore reporters for rapid, point-of-care wound diagnostics. Mechanisms of phage infection, lysogenic integration, and fluorophore …
Published in International Journal of Virus Studies · Vol. 3, Issue 2, 2026 Read article
-
Graphene–Perovskite Hybrid Opto-Electronic Modulators for Ultra-Low Power Optical Communication
Abstract: This paper proposes a novel self-adaptive neuromorphic opto-electronic transceiver architecture designed to enhance the intelligence, adaptability, and efficiency of next-generation optical communication networks. The proposed system integrates neuromorphic computing principles with photonic signal processing to enable real-time learning, dynamic resource allocation, and autonomous compensation of channel impairments such as dispersion, nonlinearities, and noise. Unlike conventional transceivers, the developed model employs spiking neural networks embedded within opto-electronic circuits to mimic biological …
Published in Trends in Opto-electro & Optical Communication · Vol. 16, Issue 1, 2026 · pp. 41–52 Read article
-
Fractal-Entropy Guided Adaptive Signal Reconstruction for Non-Stationary Biomedical and Communication Systems
Abstract: This paper presents a novel Fractal-Entropy Guided Adaptive Signal Reconstruction (FEG- ASR) framework designed for accurate processing of non-stationary signals in biomedical and communication systems. The proposed approach integrates fractal dimension analysis with entropy- based feature evaluation to capture the intrinsic complexity and irregularity of time-varying signals. By dynamically adapting reconstruction parameters based on fractal-entropy measures, the method effectively separates noise from meaningful signal components while preserving critical information. The …
Published in Current Trends in Signal Processing · Vol. 16, Issue 1, 2026 Read article
-
Digital Enablers of Nanomedicine: Pharmaceutical Software Across the Lifecycle of Nanotechnology‑Based Drug Products
Abstract: Nanotechnology‑based drug products have rapidly evolved from laboratory concepts to clinically relevant therapies, yet their development is constrained by complex design variables, stringent quality requirements, and emerging regulatory expectations specific to nanomaterials. Pharmaceutical software now plays a central role in the nanomedicine lifecycle, enabling in silico design of nano‑carriers, simulation of nano–bio interactions, control of nanoscale quality attributes during manufacturing, and systematic tracking of safety signals in real‑world use. Integrated …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 28, Issue 1, 2025 · pp. 11–16 Read article
-
Deep Learning Enhanced Compressive Sensing for Wireless IoT Data Optimization and Weather Monitoring.
Abstract: This research explores the application of deep learning and compressive sensing in order to optimize data traffic in non-orthogonal multiple access (NOMA)-based wireless internet of things (IoT) networks and weather monitoring. Such a framework would be very effective and overcome pilot attacks and reconstruction losses for secure data transmission. In this regard, a strong communication model has been adopted based on power-domain NOMA for simultaneous wireless transmission by multiple IoT …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 2, 2024 · pp. 20–36 Read article
-
Enhancing Control with Embedded Ssvep-Bci
Abstract: Brain–Computer Interface (BCI) technology establishes a direct communication link between the human brain and external devices without relying on muscular activity. Among various BCI paradigms, the Steady-State Visually Evoked Potential (SSVEP)-based approach has gained significant attention due to its high signal-to-noise ratio, minimal user training, and suitability for real-time applications. However, implementing such systems on embedded hardware presents challenges such as limited computational resources, signal noise, and latency in processing. …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 3, 2025 · pp. 41–52 Read article
-
Physics of Semiconductors and Electronic Circuits
Abstract: This study talks about the basic ideas behind semiconductor physics and how important they are for making and running modern electronic circuits. It starts with a look at intrinsic and extrinsic semiconductors, going into how charge carriers move, energy band theory, and how doping affects how well the electricity flows. Next, the conversation turns to semiconductor devices like diodes, bipolar junction transistors (BJTs), and field-effect transistors (FETs). The focus is …
Published in Journal of Semiconductor Devices and Circuits · Vol. 12, Issue 2, 2025 · pp. 9–17 Read article
-
Music Reactive led using Arduino
Abstract: In recent years, the integration of technology into interactive systems has garnered significant attention. Among the many applications, music-reactive LED systems have become popular, offering dynamic visualizations that respond to audio inputs. This paper explores the development and implementation of a music-reactive LED system using Arduino, focusing on real-time audio signal processing and LED control based on the frequency spectrum of the sound. By utilizing Fast Fourier Transform (FFT) algorithms …
Published in Journal of Microelectronics and Solid State Devices · Vol. 13, Issue 1, 2026 · pp. 27–33 Read article
-
Employment of Solid-State Technology in Sensor Design: A Study
Abstract: The rapid evolution of sensor technologies has been driven by the demand for more precise, durable, and compact systems to meet the needs of modern industries, healthcare, and consumer electronics. Solid state technologies have emerged as a transformative force in sensor design, offering unprecedented performance, reliability, and integration potential. Unlike traditional sensors, which often rely on mechanical, electrochemical, or piezoelectric principles, solid state sensors leverage the intrinsic properties of materials …
Published in International Journal of Solid State Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 31–41 Read article
-
Deep Learning-Enhanced Polymer-Based Wearable Biosensors for Continuous Health Tracking via IoT
Abstract: The rapid proliferation of wearable biosensor technologies has transformed approaches to real-time health monitoring, yet challenges persist in achieving both mechanical robustness and reliable, continuous data analytics in dynamic environments. Conventional polymer-based sensing systems often fall short due to limited signal fidelity, inadequate adaptive analytics, or insufficient integration with secure, low-latency IoT frameworks. Addressing these deficiencies, this work introduces a flexible, deep learning-enhanced wearable biosensor platform that combines a nanostructured …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 18–31 Read article
-
Intelligent Robotics using microelectronics Exploring the Future of Smart Machines
Abstract: In the past few years, robotics technology has made remarkable progress. In order to assist humans in their work, robots that can recognise and track people are required; as a result, tools like the "Human Following Load carrier" that can converse and live with people must be created. Localising the robot and its surroundings is one of the primary obstacles in enabling the robot to do different jobs in the …
Published in Journal of Nuclear Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 10–17 Read article
-
Emotion Recognition from Electroencephalogram Signal and Eye Movement Based on Deep Learning
Abstract: Emotion recognition from electroencephalogram (EEG) signals has gained significant attention due to its potential in human- computer interaction (HCI), mental health monitoring, and personalized content delivery. This paper presents the use of Convolutional neural networks (CNNs) to classify emotions such as happiness, sadness, fear, neutral, and disgust by leveraging a fusion of EEG signals and eye movements data. Compared to conventional methods of emotion detection, such as those that rely …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 8–15 Read article
-
A Combined ECG and PPG Signal Powered Artificial Intelligence-Based Prediction Model for Stroke
Abstract: Stroke is one of the most common causes of morbidity and mortality around the world, and emphasis on prevention and early detection strategies cannot be overstated. This review aims to integrate techniques of artificial intelligence with electrocardiogram and photoplethysmogram signals to enhance stroke prediction and monitoring of cardiovascular health. All in all, the application of artificial intelligence that incorporates machine learning, deep learning, or hybrid models gives robust tools toward …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 2, 2025 · pp. 18–26 Read article
-
Dual-Wavelength and Tunable Fiber Lasers for Microwave Photonic Applications
Abstract: Dual-wavelength and tunable fiber lasers have emerged as key enabling technologies for advanced microwave photonic (MWP) systems, offering high spectral purity, wide tunability, and enhanced stability. These laser sources play a critical role in generating and processing microwave and millimeter-wave signals through optical means, enabling low-loss transmission and immunity to electromagnetic interference. This review presents recent progress in the design and implementation of dual-wavelength and tunable fiber lasers, highlighting their …
Published in Journal of Microwave Engineering and Technologies · Vol. 13, Issue 1, 2026 · pp. 17–25 Read article
-
Reliable And Secure Audio Transmission in Underwater Communication Using Li-Fi
Abstract: Ensuring the security of audio transmission becomes crucial as underwater communication systems become more and more important in a variety of areas, including defense, marine research, and offshore organizations. For this reason, Li-Fi technology is an innovative solution that uses its immunity to electromagnetic interference to get around the restrictions of conventional radio frequencies. Li-Fi allows for high-speed data transfer while reducing interference and signal degradation by encoding audio onto …
Published in Trends in Opto-electro & Optical Communication · Vol. 15, Issue 1, 2025 · pp. 23–29 Read article