Search
471 articles for “critical times”
-
IoT-Based Industrial Safety Management Systems
Abstract: The integration of the Internet of Things (IoT) in industrial safety management has transformed workplace safety by enabling real-time monitoring, predictive analytics, and automated hazard mitigation. IoT-Based Industrial Safety Management Systems utilize interconnected sensors, wearable devices, and intelligent analytics platforms to proactively detect and respond to potential risks in high-risk environments such as manufacturing, oil and gas, and construction. These systems continuously monitor critical safety parameters, including temperature, pressure, gas …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 1, 2025 · pp. 18–22 Read article
-
Counter Terrorism Prediction and Risk Evaluation (C-TRIP)
Abstract: The global landscape in the 21st century is marked by complex and evolving security challenges, none more pressing than the threat of terrorism. Acts of terror have left a profound impact on societies, economies, and governments worldwide, underscoring the critical importance of effective counter terrorism strategies. The “Counter Terrorism Prediction and Risk Evaluation (C-TRIP)” represents a significant stride in addressing this ever-pressing challenge. In a time marked by global security …
Published in International Journal of Information Security Engineering · Vol. 2, Issue 2, 2024 · pp. 14–24 Read article
-
Infant Nutrition: Overcoming Challenges in Malnutrition, Weaning, Allergies, and Food Storage for Healthy Growth and Development
Abstract: This review paper examines the critical nutritional needs of infants, focusing particularly on the growth and development of children aged 6-12 months. During this phase, infants experience rapid physical, cognitive, and emotional development, which is heavily dependent on adequate nutrition. The paper explores various aspects of infant nutrition, including the roles of essential nutrients, the challenges posed by malnutrition, and the specific implications of protein energy malnutrition (PEM). It also …
Published in International Journal of Trends in Horticulture · Vol. 2, Issue 1, 2025 · pp. 13–17 Read article
-
Experimental Analysis of Axially Compressed Precast Concrete Pressure Pipes Filled with Concrete
Abstract: Humanity has always been at the mercy of natural disasters, which frequently result in widespread devastation and displacement. However, scientific advancements, technological innovations, and extensive research have significantly mitigated the loss of life, property, and essential resources. One of the critical challenges in the aftermath of disasters is providing adequate and timely shelter, food, and medicine to the affected populations, often under constrained resources and logistical difficulties. In response to …
Published in Recent Trends in Civil Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 28–37 Read article
-
Kinetic Analysis of Structural Acrylic Curing by DSC: Polymerization and Phase Transition Optimization
Abstract: Differential Scanning Calorimetry (DSC) was used to analyse the thermal properties and curing behaviour of a structural acrylic adhesive at heating rates of 5, 10, and 15 °C/min. The study focused on the curing kinetics, glass transition temperature (Tg), specific rate (k), and activation energy (Ea) of the polymerization reaction. The material is tested according to ASTM 3418 standards. Results showed that increasing the heating rate shifted the endothermic curing …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 726–733 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
-
SMART HOSPITAL MANAGEMENT SYSTEM:USING CLOUD, IOT & WEB DEVELOPMENT
Abstract: The Smart Hospital Management System (SHMS) leverages cloud computing, Internet of Things (IoT) technologies, and web development to address the inefficiencies in healthcare management, particularly in the context of the COVID-19 pandemic. With India’s doctor-to-patient ratio below WHO standards, there is a need for innovative solutions to enhance patient care and hospital resource management. This system integrates SpO2, temperature, and ECG sensors with the Raspberry Pi, enabling continuous and real-time …
Published in Journal of Telecommunication, Switching Systems and Networks Read article
-
Critical Nutritional Needs of Infants: A Review of Challenges and Solutions in Infant Nutrition
Abstract: This review paper examines the critical nutritional needs of infants, focusing particularly on the growth and development of children aged 6-12 months. During this phase, infants experience rapid physical, cognitive, and emotional development, which is heavily dependent on adequate nutrition. The paper explores various aspects of infant nutrition, including the roles of essential nutrients, the challenges posed by malnutrition, and the specific implications of protein energy malnutrition (PEM). In addition, …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 1, 2025 · pp. 11–14 Read article
-
Intrusion Eye Detector
Abstract: Uncertainty about security risks and illegal access are becoming more prevalent in a variety of settings, such as private homes, business buildings, and critical government buildings. Conventional security systems, which may not offer real-time warnings or prompt reactions, frequently rely on passive monitoring, including CCTV cameras and motion sensors. Artificial intelligence (AI) and computer vision-based intelligent systems are becoming more and more popular as a means of improving security and …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 1, 2025 · pp. 28–32 Read article
-
A Systematic Study of AI-Powered Robotics for Ocean Cleanup of Plastics
Abstract: The escalating crisis of plastic pollution in marine ecosystems demands innovative solutions beyond conventional cleanup methods. This paper presents a systematic study of artificial intelligence (AI)-powered robotics for ocean plastic cleanup, evaluating their efficiency, technological advancements, and challenges. Autonomous systems, such as AI-driven surface drones (ASVs), underwater robots (autonomous underwater vehicles/remotely operated vehicles [AUVs/ROVs]), and swarm robotics, leverage machine learning (ML) and computer vision to detect, classify, and collect plastic …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 2, 2025 · pp. 1–10 Read article
-
Routing Protocols in FANETs with Future Enhancements
Abstract: Flying Ad Hoc Networks (FANETs), which are swarms of Unmanned Aerial Vehicles (UAVs), are an emerging solution which revolutionized the area of mission-critical and infrastructure-less communication systems. These networks provide real-time data transfer for use cases such as disaster relief, battlefield observation, environmental monitoring, and 6G-based smart cities. However, the dynamic profile of FANETs, which is defined by high 3D mobility, limited energy resources, unstable wireless links, and constant topology …
Published in Journal of Aerospace Engineering & Technology · Vol. 15, Issue 3, 2025 · pp. 8–13 Read article
-
Pneumonia Identification Using Explainable Artificial Intelligence
Abstract: Pneumonia, including tuberculosis (TB), remains one of the leading causes of death worldwide, especially in regions where access to healthcare is limited. Early and accurate diagnosis is critical for effective treatment and better patient outcomes, but traditional methods are time-consuming and require specialized expertise. This study explores the use of advanced deep learning models VGG16, VGG19, and ResNet50 to detect pneumonia and TB from chest X-ray images. By leveraging transfer …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 3, 2025 · pp. 01–11 Read article
-
A Threshold-Weighted Mathematical Fusion Model for Epidemic Outbreak Prediction Using SEIR Residual Dynamics and Cloud-Based Machine Learning
Abstract: Accurate prediction of epidemic outbreaks is critical for effective public health management, resource planning, early warning generation, and timely intervention by municipal authorities. Traditional compartmental models such as Susceptible–Exposed–Infectious–Recovered (SEIR) offer valuable epidemiological insights and mathematical interpretability; however, they may not adequately capture the complex nonlinear relationships present in real-world urban health systems. Conversely, data-driven machine learning techniques can identify hidden patterns in large datasets but often lack epidemiological structure …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 2, 2026 · pp. 12–19 Read article
-
Exploring Additive Manufacturing Technologies in Engineering: A Comprehensive Study
Abstract: The objective of this research was to systematically elucidate various pathways in casting, focusing on the utilization of Additive Manufacturing (AM) technology and its transformative impact on investment casting. The purpose of this systematic review is to ascertain whether AM may be a practical solution for investment casting production. Diverse databases, including Google Scholar, Research Gate, Mendeley, and Science Direct, were utilized for comprehensive research. When compared to creative techniques …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 2, Issue 1, 2024 · pp. 16–19 Read article
-
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
-
Design and Validation of an Artificial Intelligence-Driven Digital Twin for Real-Time Monitoring and Control in Polymer Composite Manufacturing
Abstract: Polymer Matrix Composites (PMCs) have become indispensable in high-performance sectors such as aerospace and automotive engineering, offering exceptional strength-to-weight ratios that outperform traditional metals in many demanding applications. However, the reliability of manufacturing PMCs via Vacuum-Assisted Resin Transfer Molding (VARTM) is frequently undermined by stochastic process variabilities. Unpredictable fluctuations in thermal history, preform permeability, resin rheology, and ambient conditions often lead to some defects; namely voids, dry spots, and incomplete …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 224–233 Read article
-
Leveraging Arduino Nano for Developing a User-Friendly and Automated Medicine Dispensing System
Abstract: The goal of the "MED BUDDY" project is to address the urgent need for medication management, particularly for elderly individuals, those with chronic illnesses, and those who must adhere to a rigorous medication schedule. An Arduino Nano microcontroller powers the automated medication dispenser known as the MED BUDDY system. By dispensing the appropriate dosage of medication at the appropriate time, it lowers the possibility that users will forget or take …
Published in Journal of Mechatronics and Automation · Vol. 13, Issue 1, 2026 · pp. 37–46 Read article
-
Optimization of Structural Health Monitoring Using Artificial Neural Network and Comparison with Traditional Method: A Comprehensive Review
Abstract: Structural health monitoring (SHM) has a critical role in ensuring civil infrastructure safety, reliability, and durability through real-time, condition-based monitoring. Traditional SHM systems employ hundreds of sensors such as accelerometers, strain gauges, and displacement transducers for monitoring vast amounts of data for structural inspection, but do not effectively manage complicated nonlinear data. This research paper, “Optimization of Structural Health Monitoring Using Artificial Neural Network and Comparison with Traditional Methods,” investigates …
Published in Journal of Structural Engineering and Management · Vol. 13, Issue 1, 2026 · pp. 23–33 Read article
-
64 Bit ALU DESIGN USING VEDIC MATHEMATHICS
Abstract: High-speed arithmetic operations are crucial for better performance in contemporary digital systems. Particularly for high bit-width operations, conventional arithmetic logic units (ALUs) frequently experience increased latency and complexity. This work presents the design and implementation of a 64-bit Arithmetic Logic Unit (ALU) using notions from Vedic mathematics. The suggested design makes use of a Kogge-Stone Adder for effective addition and the Urdhva Tiryagbhyam sutra for quick multiplication. Among other mathematical …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 4, Issue 1, 2026 Read article
-
Intelligent Medical Devices and Robotics in Modern Healthcare: Technological Advancements and Economic Considerations
Abstract: The integration of robots and intelligent medical devices in intensive care units (ICUs) represents a significant advancement in healthcare technology. These systems, including robotic assistants, automated monitoring tools, and AI-powered diagnostic devices, are designed to enhance patient care, streamline workflows, and reduce human error. Robots in the ICU can assist with routine tasks such as medication delivery, patient repositioning, and even basic surgeries, enabling healthcare professionals to focus on critical …
Published in Journal of Advancements in Robotics · Vol. 11, Issue 3, 2024 · pp. 18–27 Read article