Documents occupational safety 504 results

"At the end of 1992, the European Trade Union Technical Bureau for Health and Safety organized a conference in Luxembourg on " Prevention in the workplace as the Community Framework Directive enters into force ". Various background papers were prepared for the conference, the main one being that produced by Laurent Vogel of the TUTB 's own staff to provide a frame of reference for the proceedings. This has now been published in a newly edited version which incorporates the two interim reports from the TUTB 's survey of preventive services in Western Europe updated to the end of 1993. The TUTB also commissioned from Professor David Walters and his team of researchers at the South Bank University of London a comparative study on worker representation on health and safety in Europe. The study, which covers a sample of European Community countries and Sweden, aims to identify the types of worker representation established in the countries concemed and to assess their effectiveness in practice.

"About one year ago, we wrote about how the COVID-19 pandemic was unfolding worldwide and started to impact our personal and professional lives (1). Little did we know that, one year later, more than 2.5 million people would have died, with the highest death tolls in Europe, North America, and Latin America (2). Whereas in many countries, life expectancy has increased steadily over the past decades with a couple of months per year, emerging evidence shows that the COVID-19 pandemic will abruptly end this trend in various countries. As one of the most affected countries, life expectancy at birth in the US was down during the first half of 2020 already 1.0 per year compared to 2019 (3). Projections indicate a potential loss in life expectancy of 1.13 years in 2020 for the total US population, resulting in the lowest life expectancy since 2003. ..."

"This study presents a responsive analysis of the role of artificial intelligence (AI) in risk management, contrasting traditional approaches with those augmented by AI and highlighting the challenges and opportunities that emerge. AI, intense learning methodologies such as convolutional neural networks (CNNs), have been identified as pivotal in extracting meaningful insights from image data, a form of analysis that holds significant potential in identifying and managing risks across various industries. The research methodology involves a strategic selection and processing of images for analysis and introduces three case studies that serve as benchmarks for evaluation. These case studies showcase the application of AI, in place of image processing capabilities, to identify hazards, evaluate risks, and suggest control measures. The comparative evaluation focuses on the accuracy, relevance, and practicality of the AI-generated findings alongside the system's response time and comprehensive understanding of the context. Results reveal that AI can significantly enhance risk assessment processes, offering rapid and detailed insights. However, the study also recognises the intrinsic limitations of AI in contextual interpretation, advocating for a synergy between technological and domain-specific expertise. The conclusion underscores the transformative potential of AI in risk management, supporting continued research to further integrate AI effectively into risk assessment frameworks."

"The advent of the digital industry, also known as Industry 4.0 is a transformation period in manufacturing, where the integration of digital technologies with physical systems is underlined. This transformation is crucial for the pillars of cyber-physical systems (CPS), cyber resilience protection, and workers' safety, which collectively from the cornerstone of Industry 4.0. Ensuring the secure exploitation of Industry 4.0's advantages necessitates a dedicated focus on workers' safety, cyber resilience protection, and the security and privacy of human-centric CPS systems. However, the full realization of Industry 4.0's potential hinges upon effectively addressing these challenges and aligning the benefits of digitalization with the exigencies of worker well-being and safeguarding critical infrastructure. This study is a comprehensive literature review on this digital era, focusing on CPS, resilience, and workers' safety. The review aims to summarise current research and advancements, offering insights for researchers, practitioners, and decision-makers. By identifying gaps in knowledge, the study lays the foundations for additional research and supports ongoing progress in the digital industry. Industry 4.0 embodies a new era of manufacturing integrating digital technologies with a focus on sustainability and human-centric design, supported by CPS, resilience, and worker's safety. This necessitate addressing challenges to ensure benefits align with worker needs and infrastructure protection."

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"The comfort of a worker while performing any activity is extremely important. If that activity extends beyond a person's capacity to withstand physical and psychological stress, the worker may suffer from both physical and mental ailments. Over time, if the stress persists, these conditions can become chronic diseases and can even be the cause of workplace accidents. In this research, a methodology was developed for the rapid assessment of ergonomic risks and for calculating the level of ergonomic comfort in the workplace. This methodology uses artificial intelligence through a specific algorithm and takes into account a number of factors that, when combined, can have a significant impact on workers. To achieve a more accurate simulation of a work situation or to evaluate an ongoing work situation, and to significantly correlate these parameters, we used logarithmic calculation formulas. To streamline the process, we developed software that performs these calculations, conducts a rapid assessment of ergonomic risks, estimates a comfort level, and proposes possible measures to mitigate the risks and effects on workers. To assist in diagnosing the work situation, we used a neural network with five neurons in the input layer, one hidden layer, and two neurons in the output layer. As a result, most work situations, in any industrial field, can be quickly analyzed and evaluated using this methodology. The use of this new analysis and diagnosis tool, implemented through this new research technology, is beneficial for employers and workers. Moreover, through further developments of this methodology, achieved by increasing the number of relevant input parameters for ergonomics and integrating advanced artificial intelligence systems, we aim to provide high precision in assessing ergonomic risk and calculating the level of ergonomic comfort."

"Infrastructures critiques manipulées à distance, chiffrement de données sensibles contre rançon... Les cyberattaques sont connues pour leurs conséquences parfois dévastatrices, aussi bien sur le plan économique que pour la réputation des entreprises. Mais qu'en est-il des conséquences humaines ? Qu'en est-il des risques qu'elles font peser sur la santé et la sécurité des travailleurs ? Si ces questions ne font pas encore la une des journaux, elles n'en demeurent pas moins préoccupantes."