Search
125 articles for “Signal”
-
Low-Power Reconfigurable Digital Filter Design Using FPGA for IoT Edge Devices
Abstract: The rapid evolution of the Internet of Things (IoT) has led to an exponential increase in the deployment of edge devices that continuously process real-time sensor data under strict power, latency, and computational constraints. Digital filtering remains a critical operation in these devices, supporting tasks such as noise removal, data conditioning, and feature extraction for intelligent decision-making. However, conventional filter implementations on microcontrollers or fixed digital signal processors often struggle …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 3, Issue 2, 2025 · pp. 23–34 Read article
-
Gut Microbial Metabolites in Inflammatory, Metabolic, and Neurologic Disorders.
Abstract: The human gut microbiota transforms dietary and hostderived substrates into a diverse array of metabolites—including shortchain fatty acids (SCFAs), hydrogen sulfide (H₂S), bile acid derivatives, indoles, trimethylamine Noxide (TMAO), branchedchain amino acid (BCAA) derivatives, and lipopolysaccharide (LPS)—that act as key signaling mediators along epithelial, immune, endocrine, and neural axes. These metabolites regulate barrier integrity, energy homeostasis, inflammation, and gut–brain communication and are increasingly implicated in the pathogenesis of inflammatory bowel …
Published in Emerging Trends in Metabolites · Vol. 3, Issue 1, 2026 · pp. 58–64 Read article
-
A Comprehensive Review of CMOS Analog Circuit Design Techniques for Low-Power VLSI Systems
Abstract: CMOS analog circuit design plays a significant role in the development of modern low-power Very Large-Scale Integration (VLSI) systems used in wireless communication, biomedical devices, portable electronics, embedded systems, and Internet of Things (IoT) applications. Research on low-power CMOS analogue design methodologies has intensified because to the growing need for high-performance, small, and energy-efficient electronic products. However, reducing power consumption while maintaining signal accuracy, noise performance, stability, bandwidth, and overall …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 4, Issue 1, 2026 Read article
-
Machine Learning–Guided Cognitive RF System with Dynamic FFT Resolution and Multiplier Reconfiguration for Adaptive Anti-Jamming Communication
Abstract: This paper presents a hierarchical adaptive RF communication system that integrates signal quality-based pre- processing with machine learning-driven signal classification to achieve robust and resource-efficient operation in dynamic, interference-prone environments. Unlike prior art that addresses adaptive RF, ML classification, or anti-jamming individually, this work uniquely combines real-time SNR/RSSI-based signal strength estimation with dynamic FFT size selection (64-, 256- , or 512-point) and arithmetic-level multiplier reconfiguration (CORDIC, Distributed Arithmetic, and hybrid …
Published in International Journal of Radio Frequency Innovations · Vol. 4, Issue 1, 2026 Read article
-
Mass Spectrometry–Based Phosphoproteomic Markers to Predict Kinase Inhibitor Response in Solid Tumors
Abstract: Mass spectrometry-based phosphoproteomics has emerged as a powerful tool for predicting kinase inhibitor responses in solid tumors, offering direct functional insights into signaling pathways that surpass traditional genomic profiling by capturing dynamic kinase activities and adaptive resistance mechanisms. Technological breakthroughs, including data- independent acquisition (DIA), trapped ion mobility spectrometry (timsTOF), and efficient enrichment methods like TiO2 or IMAC, now enable comprehensive profiling of over 40,000 phosphorylation sites from limited clinical …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 4, Issue 2, 2026 Read article
-
IP Transcendence: Unifying IPv6 Over IPv4 Network
Abstract: Dynamic routing also called adaptive routing like traditional glass optical fiber, POF uses a polymethyl methacrylate (PMMA) core with a fluorinated polymer cladding, resulting in a larger core diameter that simplifies alignment and splicing. POF's adaptability is one of its main benefits. Because of their fragility and stiffness, ordinary glass fibers would not be practicable in certain situations where POF can be put. POF is a great option for intricate …
Published in International Journal of Electrical Power and Machine Systems · Vol. 2, Issue 1, 2024 · pp. 36–42 Read article
-
CB₁ Reverse Agonists: A Cheminformatic and Patent Landscape Study
Abstract: The endocannabinoid system plays a crucial role in numerous physiological functions, making cannabinoid receptor 1 (CB1) an attractive target for therapeutic development. This review provides a systematic analysis of patent filings from 2019 to 2023 that focus on small-molecule CB1 reverse agonists. It begins with an overview of the endocannabinoid system, highlighting CB1’s involvement in energy balance, pain regulation, and neuroinflammatory processes The main section of the review examines fifteen …
Published in International Journal of Cheminformatics · Vol. 3, Issue 2, 2025 · pp. 33–36 Read article
-
A Study on Optical Stethoscope
Abstract: The traditional stethoscope, a staple in medical diagnosis, has remained relatively unchanged since its inception. However, with the advent of cutting-edge technologies, a revolutionary Optical Stethoscope design has emerged, poised to transform the field of medicine. In a breakthrough that promises to transform the medical landscape, a team of innovative engineers and researchers has unveiled the results of their pioneering work on optical stethoscope design. This revolutionary device is set …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 22–28 Read article
-
Molecular Dynamics and Therapeutic Architectures of Cannabinoid Receptors: A Comprehensive Review
Abstract: Expanding on these foundations, recent structural biology studies using cryo-electron microscopy have provided high-resolution insights into the conformational dynamics of CB₁ and CB₂ receptors. These findings have enabled a more precise understanding of ligand–receptor interactions, particularly how agonists, antagonists, and reverse agonists stabilize distinct receptor states. Such knowledge is critical for rational drug design, allowing researchers to selectively modulate downstream signaling pathways. For instance, CB₁ receptors primarily couple to Gi/o …
Published in International Journal of Cheminformatics · Vol. 4, Issue 1, 2026 · pp. 36–40 Read article
-
Olfactory Intelligence in Bio-Hybrid UAVs: Integrating Living Lepidoptera Sensors for High-Precision Environmental Monitoring
Abstract: Autonomous aerial systems still face major challenges when attempting to locate airborne volatile organic compounds because many conventional gas sensors react slowly and cannot reliably follow turbulent chemical plumes. To address this limitation, a bio-hybrid sensing approach was explored using the antenna of the silkworm moth, Bombyx mori, as a natural chemical detector. The antenna was connected to an Electroantennogram (EAG) system that converts biological nerve signals into digital signals …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 4, Issue 2, 2026 Read article
-
A Study to Evaluate the Effectiveness of a Structured Teaching Program on the Knowledge and Practice of Road Traffic Accident Prevention Measures Among Teenagers
Abstract: An investigation to evaluate the impact of a structured educational program on the understanding and implementation of strategies for preventing road traffic accidents among teenagers. Introduction: Accident is an accidental injury, passing or property harm happening in a grouping of occasions. Accidents don't simply occur; they are neglectfulness, indiscretion, carelessness, and flashing absence of focus. Accidents have turned into a significant reason for dismalness and mortality, particularly among the grown-ups …
Published in International Journal of Emergency and Trauma Nursing and Practices · Vol. 1, Issue 1, 2023 · pp. 29–40 Read article
-
Defensive Mechanisms and Key Strategies with Its Specified Role in Mulberry Silkworm (Bombyx mori L.)
Abstract: Silkworms (Bombyx mori L.) possess a variety of defense mechanisms that play a vital role in protecting them against microbial infections and environmental stressors. These defense systems are primarily innate, relying on cellular and humoral responses. Cellular defenses include hemocytes which are responsible for processes like phagocytosis, encapsulation, and nodule formation. Humoral responses involve the production of antimicrobial peptides (AMP’s), such as cecropins, moricins, and lysozymes, which target invading pathogens. …
Published in International Journal of Insects · Vol. 1, Issue 2, 2024 · pp. 10–14 Read article
-
Non-Enzymatic Glycation in Alzheimer’s and Parkinson’s Disease: A Molecular Approach to Pathology and Recent Advances
Abstract: Non-enzymatic glycation, a biochemical process by which reducing sugars spontaneously bind to proteins, leads to the formation of advanced glycation end-products (AGEs), which have emerged as critical contributors to the pathogenesis of several neurodegenerative diseases, particularly Alzheimer’s disease (AD) and Parkinson’s disease (PD). The accumulation of AGEs can significantly alter protein structure, stability, and function, triggering a cascade of detrimental effects, including increased oxidative stress, heightened neuroinflammation, and the promotion …
Published in International Journal of Molecular Biotechnological Research · Vol. 2, Issue 2, 2024 · pp. 36–41 Read article
-
Innovative Approaches to Reducing Data Traffic in IoT Networks Using Deep Learning and Compressive Sensing
Abstract: The exponential growth of internet of things (IoT) devices has posed unprecedented challenges in managing the massive data generated by real-time monitoring, automation, and analytics. Existing network infrastructures lack scalability, bandwidth, and suffer from latency problems, further making data transmission less efficient. This study surveys innovative approaches using deep learning and compressive sensing to reduce IoT data traffic. Deep learning is able to upgrade data processing by means of very …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 2, 2024 · pp. 46–62 Read article
-
Smart Patient Monitoring and Motion Tracking System
Abstract: The integration of smart technologies in healthcare has revolutionized patient monitoring and diagnostics. This paper presents a Smart Patient Monitoring and Motion Tracking System designed for hospitals, leveraging EEG (Electroencephalogram) signals to track patient movements and monitor neurological health. The proposed system combines motion tracking with real time EEG signal analysis to enhance patient safety, especially for individuals prone to seizures, neurological disorders, or other mobility-related risks. The system employs …
Published in International Journal of Radio Frequency Innovations · Vol. 3, Issue 2, 2025 · pp. 9–23 Read article
-
Partitioning Dynamics of Nutrients in Transition Dairy Cows: Metabolic, Hormonal, and Cellular Mechanisms Affecting Lactation and Fertility
Abstract: This review critically examines nutrient partitioning dynamics in dairy cows during the transition phase, a period that profoundly affects lactation and reproductive performance. During this phase, cows experience extensive physiological changes that alter nutrient requirements and utilization, making effective management essential for health and productivity. The review synthesizes current research on mechanisms of nutrient partitioning, with particular attention to energy, protein, and mineral balance, which are crucial for optimizing milk …
Published in International Journal of Nutritions · Vol. 3, Issue 1, 2026 Read article
-
Intelligent Electromagnetic Synthesis: An AI-Driven IoT Framework for Adaptive Antenna Design in Missile Navigation
Abstract: The rapid evolution of hypersonic and long-range tactical missile systems necessitates antenna architecture capable of maintaining robust communication links under extreme thermal, mechanical, and signal-jamming environments. Traditional antenna design methodologies often relying on iterative simulation cycles and static optimization are increasingly insufficient for the real-time requirements of modern aerospace navigation. This paper proposes an AI-driven, IoT- integrated framework that facilitates autonomous antenna design and performance optimization. By deploying a distributed …
Published in International Journal of Radio Frequency Innovations · Vol. 4, Issue 1, 2026 Read article
-
Brain Machine Interface: A Review of Current Technologies and Future Directions
Abstract: Brain Machine Interface (BMI) is a rapidly growing field that aims to establish direct communication between the brain and an external device. This technology has the potential to restore lost motor and sensory functions in people with neurological disorders or injuries. A brain-computer interface (BCI) is a technology that converts signals from the brain into instructions for computers or other gadgets. This innovation allows individuals to engage with their surroundings …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 1, Issue 1, 2023 · pp. 14–24 Read article
-
Implementation of Adders Using Ternary Based Multiple Valued Logic
Abstract: In today’s world VLSI chips are widely used in various branches of Engineering like Voice and Data communication networks, Digital signal processing, Computers, Commercial Electronics, Automobiles, Medicine and many more. So, there have been major advances in IC technology which have both made feasible and generated great interest in electronic circuits which employ more than two discrete levels of signals such circuits called Multiple valued logic circuits, offer several potential …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 1, Issue 2, 2023 · pp. 1–8 Read article
-
Density Based Traffic Control with Remote Override
Abstract: With the burgeoning urbanization, the number of people residing in cities has been increasing since the last few decades. That implies an increase in the number of vehicles, which further leads to a calming traffic gridlock menace. Although the traditional traffic control signals are the ideal solution in this scenario, they have not proven effective due to poor time distribution. Typically, the time intervals allocated to each road are equal …
Published in International Journal of Satellite Remote Sensing · Vol. 1, Issue 2, 2023 · pp. 22–27 Read article