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249 articles for “Safety Factors”
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REALIZATION OF SUSTAINABLE CIVIL INFRASTRUCTURES THROUGH EFFECTIVE PROJECT MANAGEMENT IN A CHALLENGING ECONOMY
Abstract: Infrastructure and effective project management is a great challenge facing sustainable development of infrastructure in Third World Cities and Civil Engineers have a lot of roles to play in sustainable infrastructural development in a challenging economy. This paper examines ways of realizing sustainable infrastructures through project management and civil engineering practice. Secondary data from works of literature and notable information from engineers were utilized. Project management is very essential for …
Published in Journal of Construction Engineering, Technology & Management · Vol. 12, Issue 3, 2022 · pp. 1–10 Read article
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A Review Paper of Automated Driving & ADAS Technologies
Abstract: Automated driving and Advanced Driver Assistance Systems (ADAS) are transforming road mobility, promising enhanced safety, improved traffic efficiency, and greater accessibility. This review presents a comprehensive synthesis of core technologies, system architectures, sensor modalities, perception and decision-making algorithms, and evaluation methodologies underpinning contemporary ADAS and automated driving. We provide a detailed discussion of the functional components—sensors (camera, radar, LiDAR, ultrasonic), localization, perception, prediction, planning, control, and human–machine interfaces—and how these …
Published in Journal of Automobile Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 1–8 Read article
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Development of a Generative AI Model for Early Detection and Prevention of Electrical Faults in Thermal Power Plants
Abstract: Electrical faults in thermal power plants can lead to severe equipment damage, production downtime, and safety hazards if not detected in advance. This study presents the development of a Generative Artificial Intelligence (GenAI) model for the early detection and prevention of electrical faults using predictive analytics. The proposed framework integrates Generative Adversarial Networks (GANs) with deep learning (CNN) and machine learning algorithms (Random Forest, Logistic Regression) to enhance data diversity, …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 45–54 Read article
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A Brief Review on Perovskite Materials: Synthesis, Properties, and Applications
Abstract: Perovskite materials have emerged as a transformative class of compounds, capturing widespread interest due to their remarkable properties and diverse applications across various fields, including optoelectronics, catalysis, energy storage, and environmental technologies. The synthesis techniques, classification, and unique properties of perovskite materials are thoroughly examined in this paper, which highlights the materials' potential to completely transform a number of sectors. One of the standout features of perovskites is their highly …
Published in International Journal of Advance in Molecular Engineering · Vol. 3, Issue 1, 2025 · pp. 42–49 Read article
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Evaluation of Emergency Response Plans in Industrial Environments Using Simulation Techniques
Abstract: Industrial facilities, particularly those in the chemical, manufacturing, and energy sectors, face significant hazards due to their complex operations and the handling of hazardous materials. Ensuring the safety of workers and minimizing the impact of incidents require robust and effective emergency response plans (ERPs). Traditional evaluation methods, such as drills and tabletop exercises, often fall short in replicating the complexities of real-world emergencies. These methods may lack the realism needed …
Published in Journal of Industrial Safety Engineering · Vol. 11, Issue 3, 2024 · pp. 6–10 Read article
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Neurotoxic Effects of Chronic Arsenic Exposure Among Leather Tannery Workers in Kanpur
Abstract: Chronic arsenic exposure is a known health risk, with potential neurotoxic effects. In industrial settings like leather tanneries, workers are particularly vulnerable due to prolonged exposure to chemicals, including arsenic. This study aims to investigate the neurotoxic effects of chronic arsenic exposure among leather tannery workers in Kanpur, focusing on symptoms of neurological damage and related health outcomes. To evaluate the prevalence of neurotoxic symptoms among leather tannery workers in …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 2, 2025 · pp. 39–46 Read article
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Current Trends and Modernization of Construction Industry in Pakistan
Abstract: The construction industry is the second largest industry of the country after agriculture. However, contrary to its share in local economic market, the development in this sector is not at par with market demands. Though the use of various new technologies and deployment of project management strategies has made it possible to undertake projects of mega scale yet the industry direly needs a developmental strategy that could maintain its competitiveness …
Published in Journal of Construction Engineering, Technology & Management · Vol. 6, Issue 2, 2016 · pp. 116–129 Read article
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An in-silico toxicity study of the phytocompounds found in Pongamia pinnata leaves using the ProTox-II web server
Abstract: The aim of the current study was to determine the Insilco toxicity of the phytocompound present in the leaves of Pongamia pinnata. The leaves of Pongamia pinnata have long been used in traditional medicine for their therapeutic properties. Nowadays, herbal toxicity is a common problem caused by incorrect dosage. The FDA reviews the safety and effectiveness of herbal products only in response to patient or health care provider complaints—problems with …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 13, Issue 1, 2024 Read article
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Tank Water Quality Analysis Using Machine Learning
Abstract: Tank Water quality is a critical factor for public health, agriculture, as well as industry. Continuous monitoring of tank water quality: temperature, humidity, water level, CO2 concentration, and pH, is vital for safe usage. Using machine learning, real-time data analysis can detect anomalies, predict issues, and optimize water management, ensuring timely responses and improved safety. This intelligent approach enhances decision-making and maintains water quality effectively in various environments.We develop an …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 2, 2025 · pp. 27–34 Read article
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Advancements and Challenges in Automated Guided Vehicles for Smart Industrial Automation
Abstract: Automated Guided Vehicles (AGVs) are increasingly central to modern industrial automation, enhancing operational efficiency in manufacturing, warehousing, and logistics. Traditionally reliant on fixed paths using magnetic tapes or wired tracks, AGVs were limited in flexibility. However, recent technological advances have enabled the development of autonomous AGVs equipped with sensor fusion, LiDAR, computer vision, and artificial intelligence (AI). These features support real-time obstacle detection, dynamic path planning, and robust performance in …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 4, Issue 1, 2026 · pp. 1–5 Read article
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Criticality Risk Assessment during Transportation and Storage of MTR Spent Fuel Elements
Abstract: Abstract This study aims to evaluate the criticality condition during transporting the spent fuel elements from the temporary storage to the permanent storage by using a Latin American cask. The cask was developed to transport the material testing reactor (MTR) fuel element type. MCNP5 code was used to calculate the criticality, expressed in terms of the neutron multiplication factor (k-effective), for normal and accidental situations using 21 fresh fuel elements. …
Published in Journal of Nuclear Engineering & Technology · Vol. 9, Issue 1, 2019 · pp. 1–6 Read article
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Role of Machine Vision in Autonomous Vehicles: A Review
Abstract: The integration of machine vision in autonomous vehicles (AVs) is a critical advancement in the field of intelligent transportation systems. Machine vision systems enable AVs to perceive their environment, understand road conditions, detect obstacles, and make real-time decisions necessary for safe navigation. These systems rely heavily on image processing techniques, which have evolved significantly over the past decade, leading to improved performance in complex driving scenarios. These developments are largely …
Published in Trends in Machine design · Vol. 12, Issue 1, 2025 · pp. 38–43 Read article
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Drug-Induced Liver Injury: Hepatotoxicity and Treatment - A Literature Review
Abstract: Drug-induced liver injury (DILI) is a major clinical and regulatory challenge, posing risks to patient safety and drug development worldwide. As the primary organ responsible for xenobiotic metabolism, the liver is particularly susceptible to toxic injury from prescription drugs, over-the-counter medications, herbal products, and dietary supplements. Drug-induced liver injury (DILI) accounts for a substantial proportion of acute liver failure cases and remains a leading cause of post-marketing drug withdrawal. Its …
Published in Research and Reviews: A Journal of Toxicology · Vol. 16, Issue 1, 2026 · pp. 1–17 Read article
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Reasons behind Patients Who Leave the Emergency Department without being seen by a Physician - A Qualitative Study
Abstract: Background & Objectives: Left without being seen patients (LWBS) is a serious problem that has safety and quality implications on hospitals. This study is aimed to assess long waiting time as a reason behind the patients' decision to leave the Emergency Department without being seen and to seek other reasons behind it. Methods & Materials: A descriptive cross-sectional study design was performed at a tertiary teaching hospital in Riyadh. Demographic …
Published in Research and Reviews: A Journal of Health Professions · Vol. 10, Issue 2, 2020 · pp. 48–55 Read article
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Smart SwitchBoard With Auto Safety Control
Abstract: The Intelligent Smart Switch Board, with Automatic Safety Control, is designed as an IoT-based intelligent power management system to enhance electrical safety by providing the user with real-time monitoring of electrical energy consumption and the ability to remotely control electrical loads in their home or small industrial facility. The Smart Switch Board is built around an ESP32 Microcontroller and uses a PZEM-004T Energy Meter Module to accurately measure voltage, current, …
Published in Journal of Microcontroller Engineering and Applications · Vol. 13, Issue 2, 2026 · pp. 16–23 Read article
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Soldiers Security System using Arduino
Abstract: AbstractIn today’s era enemy’s warfare is imp factor in our nation’s security, and soldiers play a vital role in it. Soldiers is one of the most imp aspects of any country, they have a responsibility of whole nation so the security of soldiers is considered as an most imp role. It’s our duty to equip soldiers with better advanced technology. There are many concerns regarding the safety of soldier and …
Published in Journal of Microcontroller Engineering and Applications · Vol. 7, Issue 2, 2020 · pp. 35–40 Read article
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Sensitivity of Shape Factor Impacts in Water Works Infrastructure Failure
Abstract: Simple geometry used in water software and hydride sign works was failed here. Comprehensive real data with complex irregular geometries were incorporated provided for wider application and feasible solutions. A realistic and more practical approach was tested, found reliable and compatible with water engineering principles considered for calculation of volumetric water rates by three types of Ogee shapes. Results indicated proximity between numerical and experimental data accurately predicted based on …
Published in Journal of Water Resource Engineering and Management · Vol. 4, Issue 1, 2017 · pp. 25–34 Read article
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Automatic Railway Horn System Using Node MCU
Abstract: The Automatic Railway Horn System (ARHS) presented in this project employs techniques to dynamically adjust the frequency of the train horn based on various parameters such as train speed, proximity to crossings, and other safety considerations. Traditional railway horn systems often lack adaptability and may not adequately address changing environmental conditions. The proposed ARHS aims to enhance safety and minimize noise pollution by intelligently modulating the horn frequency in real-time. …
Published in Journal of Control & Instrumentation · Vol. 15, Issue 1, 2024 · pp. 11–19 Read article
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Smoking and Body Weight: Is There Any Relation?
Abstract: Tobacco is a tall, green leafy plant, originally grown in South and Central America, but now cultivated throughout the world. The link between smoking and body weight is evident as early as adolescence. Nicotine acts on nicotinic cholinergic receptors in the brain and autonomic ganglia. The binding of nicotine to the nicotinic receptors opens ion channels, allowing entry of sodium and calcium, thereby; augment the release of various neurotransmitters. This …
Published in Research and Reviews: A Journal of Health Professions · Vol. 3, Issue 3, 2013 · pp. 33–36 Read article
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Virtual Reality in Civil Engineering: A Comprehensive Review of Applications, Challenges, and Future Trends
Abstract: Virtual reality (VR) technology has gained significant attention in civil engineering, offering immersive and interactive environments that enhance visualization, safety training, and project management. This review paper comprehensively examines the current applications of VR in civil engineering, focusing on construction safety training, design visualization, and stakeholder collaboration. VR’s ability to simulate hazardous scenarios allows for effective safety awareness and risk mitigation without real-world exposure. Additionally, the integration of VR with …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 3, 2025 · pp. 20–24 Read article