Exploiting Semantic Trajectories Using HMMs and BIM for Worker Safety in Dynamic Environments

International audience; Understanding dynamic behaviors of moving objects using positioning technologies for construction safety monitoring is still an open research issue. One task; that is a small subset in the widespread field of objects dynamics is the enrichment of the location data of users with the semantic information for studying their mobility patterns in the context of the environment. However, incorporating the semantics related to the environment gets complex in case of the dynamic construction sites where the site spaces are kept evolving with time. For instance, new walls and infrastructure supports are added often on sites, while others are detached. Similar situations open …

A Review on Applications of Big Data for Disaster Management

International audience; The term " disaster management " comprises both natural and man-made disasters. Highly pervaded with various types of sensors, our environment generates large amounts of data. Thus, big data applications in the field of disaster management should adopt a modular view, going from a component to nation scale. Current research trends mainly aim at integrating component, building, neighborhood and city levels, neglecting the region level for managing disasters. Current research on big data mainly address smart buildings and smart grids, notably in the following areas: energy waste management, prediction and planning of power generation needs, improved comfort, usability …

Understanding the human behaviors in dynamic urban areas of interest

International audience; The fast growth of urban populations across evolving cities is resulting in new types of technical, physical, material, and safety-related challenges and constraints (Chen et al. 2019). Humans perceive, move, and perform actions (called behaviors) in different urban areas, and make interactions with the objects, the other humans, and the environment for achieving their goals for attaining the desired level of satisfaction (Wagner et al., 2018; Chen et al., 2015). More formally, human behaviors are observable actions or reactions of humans in response to external or internal stimuli (Wagner et al., 2018; Hong et al., 2015; Yan et al., 2015). Over the last decade, huma…

Powering Complex Business Signals' Classification using Enriched Taxonomy by Existing Data Sources

Movement Behavior Analysis of Workers using Spatio-temporal Trajectories for Safety Management

International audience

SARS-CoV-2 infection and venous thromboembolism after surgery: an international prospective cohort study

SARS-CoV-2 has been associated with an increased rate of venous thromboembolism in critically ill patients. Since surgical patients are already at higher risk of venous thromboembolism than general populations, this study aimed to determine if patients with peri-operative or prior SARS-CoV-2 were at further increased risk of venous thromboembolism. We conducted a planned sub-study and analysis from an international, multicentre, prospective cohort study of elective and emergency patients undergoing surgery during October 2020. Patients from all surgical specialties were included. The primary outcome measure was venous thromboembolism (pulmonary embolism or deep vein thrombosis) within 30 da…

Leveraging BIM and Big Data to deliver well maintained highways

The Highway infrastructure is one of the most valuable assets for any state or national Government. Efficient operations of Highways lead to success of national and local economies as well as improve the quality of life of the general public dependent on it.  In order to ensure aging road networks continues to move with its ever increasing number of users, requires maintenance and improvements to the road network at the highest standard. Increasing scrutiny over the cost of maintenance along with increasing pressure from Government and the public for transparency over road network spending, has made a strong case for more efficient management of the Highway road asset and traffic management…

Big Data Applications for Disaster Management

International audience; The term "disaster management" comprises both natural and man-made disasters. Highly pervaded with various types of sensors, our environment generates large amounts of data. Thus, big data applications in the field of disaster management should adopt a modular view, going from a component to nation scale. Current research trends mainly aim at integrating component, building, neighborhood and city levels, neglecting the region level for managing disasters. Current research on big data mainly address smart buildings and smart grids, notably in the following areas: energy waste management, prediction and planning of power generation needs (based on smart meter readings,…

Building Information Modeling (BIM) Enabled Facilities Management Using Hadoop Architecture

International audience; Protecting the safety of occupants and the environment is a core value within Facilities Management. Data acquisition systems such as wireless sensor networks can help to monitor facilities to reduce hazards such as fire, water flooding and burglaries. Building Information Modeling (BIM) is a revolutionary development that is reshaping the Architecture Engineering and Construction (AEC) industry. BIM is both a process and a technology, offers wide solutions for facilities management. In order to monitor and manage facilities data in a BIM based simulated environment, this work reports upon a development of a system that uses BIM software and a wireless sensor technol…