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230 articles for “mitigation”
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Strategies for Preventing Injuries in In-line Skating: A Comprehensive Guide
Abstract: Inline skating combines competitive sports and physical fitness with recreational enjoyment, appealing to a diverse demographic. However, the sport carries inherent risks such as fractures, sprains, abrasions, and head injuries, emphasizing the critical need for effective safety measures. This article synthesizes insights from comprehensive literature reviews and expert opinions to propose evidence-based strategies for injury prevention in inline skating. Key recommendations include wearing proper protective gear such as helmets, wrist …
Published in Recent Trends in Sports · Vol. 1, Issue 1, 2024 · pp. 27–34 Read article
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Development of Formulation for Dry Powder Inhalation of Amino Acids Aimed at Smoking Cessation: A Biomedical Perspective
Abstract: This study aims to develop an effective and compliant therapy targeting the lungs through the strategic utilization of amino acids, which play a crucial role in modulating mood and behavior during activities like smoking. L-Tryptophan and L-Tyrosine were finely micronized within the 2–4 µm range, with lactose serving as a carrier, to create a dry powder inhalation formulation. The combination of these amino acids is anticipated to elicit a synergistic …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 2, Issue 2, 2024 · pp. 18–36 Read article
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Advanced Private Cloud Security and Privacy Preservation Through the Integration of Machine Learning and Cryptography
Abstract: In modern technological landscapes, private cloud security is of paramount concern due to the ever-increasing volume and complexity of cyber threats. This research work explores the integration of machine learning and cryptography to enhance security within private cloud environments. This study aims to mitigate vulnerabilities that may compromise data integrity, confidentiality, and availability in private cloud infrastructures by using machine learning algorithms and strong cryptography. By detecting anomalous cloud patterns …
Published in International Journal of Advanced Control and System Engineering · Vol. 2, Issue 1, 2024 · pp. 1–10 Read article
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Integral Sliding Mode Control: A Review of Applications
Abstract: Integral Sliding Mode Control (ISMC) has emerged as a robust and efficient method for handling nonlinear systems with uncertainty, turbulence and external disturbances. This study provides a detailed review of ISMC and its design foundations, design methods, practical application aspects and recent developments are included. ISMC design methodology is explored, to be extended with various design methods with different design methods. Recent advances in research, chatter reduction techniques, applications in …
Published in International Journal of Advanced Control and System Engineering · Vol. 2, Issue 1, 2024 · pp. 25–35 Read article
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Machine Learning Approaches in Breast Cancer Diagnosis: Current Trends and Future Perspectives
Abstract: Since cancer is still one of the world's top causes of death, precise and effective detection techniques must be developed. Machine learning (ML) approaches have shown promise in recent years for enhancing cancer prognosis and detection. This paper presents a comprehensive review of the application of ML in cancer detection, focusing on various modalities including medical imaging, genomic data, and clinical records. We highlight the challenges associated with traditional cancer …
Published in International Journal of Radio Frequency Innovations · Vol. 2, Issue 1, 2024 · pp. 14–20 Read article
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Hybrid Battery Swapping Station for EV Using Robotic Arms
Abstract: The Robotic Arm-Based Battery Swapping System indeed marks a significant stride in merging technology and sustainability. Its integration of robotics, computer vision, and renewable energy positions it as a ground breaking solution, reshaping the landscape of electric vehicle charging. This automated approach not only tackles inefficiencies in current methods but also serves as a blueprint for future advancements in the domain. The inefficiencies inherent in conventional electric vehicle battery replacement …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 2, Issue 1, 2024 · pp. 16–23 Read article
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Exploring the Synergistic Effects of Heavy Metal contaminants on Aquatic Organisms
Abstract: Human activities have a profound effect on aquatic habitats by altering water and sediment quality, which in turn impacts resident organisms. These changes are primarily caused by pollutants from agricultural, industrial, and health-related sources. Industrial effluents, often containing hazardous heavy metals such as chromium, manganese, and lead, are a major source of environmental toxicity. The discharge of these pollutants makes water unsafe for drinking, irrigation, and industrial uses, necessitating effective …
Published in International Journal of Marine Life · Vol. 1, Issue 2, 2024 · pp. 17–20 Read article
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Artificial Neural Network Based Prediction of Impact Loads and Thickness in CFRP and GFRP Composite Laminates
Abstract: Recent technological advancements, particularly the integration of neural networks, have facilitated a predictive approach to complex engineering problems, especially those involving composite materials with directional properties. The scarcity of literature on predicting impact damage using experimental and ultrasonic flaw detection data motivated this study. Experimental assessment of impact damage on carbon fiber/epoxy (CFRP) and glass fiber/epoxy (GFRP) composites was conducted using low-velocity drop weight impact testing. Damage assessment employed an …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 2, Issue 1, 2024 · pp. 34–45 Read article
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Iot Based Industrial Pollution Monitoring System
Abstract: This paper introduces a robust IoT-based industrial pollution monitoring system aimed at addressing the critical need for effective environmental management in industrial settings. By leveraging sensor networks and real-time data analytics, the system provides continuous monitoring of various pollutants emitted from industrial activities. The integration of IoT devices streamlines data collection, transmission, and analysis, offering timely insights for proactive decision-making. This system not only facilitates compliance with environmental regulations but …
Published in International Journal of Pollution: Prevention & Control · Vol. 2, Issue 2, 2024 Read article
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Mechanically Operated Portable Hydrotesting Setup
Abstract: Hydrostatic testing is a crucial process in ensuring the integrity and safety of pressure vessels, pipelines, and various other industrial equipment. Traditional hydrostatic testing setups often require significant infrastructure and resources, limiting their accessibility and flexibility, especially in remote or constrained environments. This research paper presents the design, development, and implementation of a portable hydro testing setup tailored to address these challenges. The proposed setup offers a compact, versatile, and …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 2, Issue 1, 2024 · pp. 21–27 Read article
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Robust Control System for Missiles in the Presence of Uncertainty and Disturbances: A Comprehensive Review
Abstract: In today's warfare and defense systems, when precise and quick maneuvering is essential for mission accomplishment, missiles play a critical role. Nonetheless, the intricacy of missile dynamics by itself, combined with external disruptions and unpredictabilities in operational circumstances, provides challenging but ambitious conditions for achieving precise trajectory tracking and robust flight control. Missiles perform in highly dynamic and uncertain environments where factors such as aerodynamic disturbances, various atmospheric conditions, and …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 1, 2024 · pp. 27–34 Read article
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Secondary Metabolites in Drug Development: Tracing Their Historical and Therapeutic Impact
Abstract: Secondary metabolites, also known as natural products, exhibit a level of structural and chemical diversity unmatched by synthetic small molecule libraries. These compounds, which have evolved to possess drug-like properties, continue to be a primary source for new medications and drug leads. Their discovery has significantly impacted advancements in chemistry, biology, and medicine, influencing drug development and therapeutic strategies throughout history. Derived from primary metabolic pathways such as photosynthesis, glycolysis, …
Published in Emerging Trends in Metabolites · Vol. 1, Issue 2, 2024 · pp. 51–55 Read article
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Optimized Web-based Online Food Ordering System: Design and Implementation
Abstract: Online food ordering systems have undergone a profound metamorphosis with the advent of digital technologies, catalyzing a pivotal shift in the operational dynamics of the gastronomic sector. This paper elucidates the conceptualization, design, and implementation of an advanced, web-based food ordering system, meticulously engineered to elevate the efficiency and sophistication of food service operations. Employing the rigorously structured Systems Analysis and Design Methodology (SSADM), this system represents a transformative departure …
Published in International Journal of Computer Science Languages · Vol. 2, Issue 2, 2024 · pp. 1–25 Read article
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Experimental Study on the Wear Mechanisms of Cutting Tools in High-Performance Machining
Abstract: Because high-performance machining (HPM) may increase output and improve product quality, it is essential for modern production. The quick wear of cutting tools under high-stress circumstances, however, presents serious difficulties that affect surface smoothness, tool life, and cost-effectiveness. Through an analysis of the impacts of cutting speed, feed rate, tool material, and cooling techniques, this work explores the wear processes impacting cutting tools in HPM. Advanced spectroscopy and microscopy procedures …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 2, Issue 1, 2024 · pp. 9–14 Read article
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Impact of Climate Change on Economy of Nepal with Special Edges on Tourism Industry: Threats to Development and Stability
Abstract: Nepal is rich in biodiversity with Himalayan ecosystems and natural resources. Nepal's natural resources are a valuable and cultural asset for local communities, as well as supporting many of the country's industries. Safety is an important part of nature tourism and can attract or repel tourists. Climatic factors include temperature, precipitation, clouds, air, wind, and humidity. A key component of the industry's expansion is making traveler access safe and simple. …
Published in International Journal of Climate Conditions · Vol. 1, Issue 2, 2024 · pp. 31–38 Read article
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Silkworm Growth and Silk Yield under Changing Climatic Conditions: Challenges and Adaptations
Abstract: Climate change is emerging as a critical factor affecting agriculture and sericulture industries worldwide. Rising global temperatures, shifting rainfall patterns, and the growing frequency of extreme weather events present ever challenges to the growth and productivity of silkworms (Bombyx mori L.). Silkworms are extremely sensitive to environmental conditions like temperature, humidity, and photoperiod, all altered by climate change. Higher temperatures can accelerate silkworm metabolism, reduce silk yield, and increase susceptibility …
Published in International Journal of Insects · Vol. 1, Issue 2, 2024 · pp. 1–5 Read article
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Geochemometric Assessment of Primordial Radionuclides and Trace Elements in Coastal Sediments: Environmental and Radiological Implications for South India
Abstract: This study focuses on environmental radioactivity and trace element contamination in coastal sediments along the southern region of the Indian subcontinent, from the Palar River to Pulicat Lake. Utilizing gamma-ray spectroscopy with a NaI (Tl) detector, along with atomic absorption spectroscopy, the research examines the spatial distribution and activity concentrations of primordial radionuclides—namely, 238U, 232Th, and 40K—as well as trace elements such as Ni, Pb, Mn, Zn, Cu, Co, Fe, …
Published in International Journal of Minerals · Vol. 1, Issue 1, 2024 · pp. 33–37 Read article
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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
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Dodging Data Breaches: Cybersecurity for Developers
Abstract: In today’s rapidly evolving digital landscape, coding professionals serve as the architects shaping our technological future. Whether they are web developers, software engineers, cybersecurity specialists, or data analysts, these experts are responsible for building, designing, and securing the digital frameworks that power modern society. Their work ensures that systems function seamlessly, and vast amounts of data are kept safe. However, the growing dependence on technology and digital infrastructure has attracted …
Published in International Journal of Information Security Engineering · Vol. 2, Issue 2, 2024 · pp. 8–13 Read article
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Machine Learning Innovations for Effective Spam Comment Filtering in Social Networks
Abstract: The increasing prevalence of social media platforms has revolutionized communication, fostering unparalleled levels of connectivity and data exchange. However, the widespread increase in spam comments presents a serious threat to the integrity of online discussions, potentially undermining the quality of interactions. To confront this issue, our proposed model utilizes machine learning techniques to bolster spam comment detection across various social media platforms. This endeavor involves a thorough investigation encompassing data …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 2, Issue 2, 2024 · pp. 19–24 Read article