0000000000337761

AUTHOR

Muhammad Arslan

showing 9 related works from this author

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

2020

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 …

business.industryComputer science0211 other engineering and technologiesContext (language use)02 engineering and technologySemanticsmobilityField (computer science)Task (project management)Semantic trajectoriesBuilding information modelingHuman–computer interactionBuilding Information Modeling (BIM)021105 building & construction0202 electrical engineering electronic engineering information engineering[INFO]Computer Science [cs]020201 artificial intelligence & image processingHealth and Safety (H&S)businessHidden Markov model2018 International Conference on Computational Science and Computational Intelligence (CSCI)
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A Review on Applications of Big Data for Disaster Management

2017

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 …

[ INFO ] Computer Science [cs]Computer scienceBig data02 engineering and technology[INFO] Computer Science [cs]7. Clean energydisasters12. Responsible consumptionbig data020204 information systemsComponent (UML)11. Sustainability0202 electrical engineering electronic engineering information engineering[INFO]Computer Science [cs]Building automationEmergency managementbusiness.industry020207 software engineeringUsabilityEnergy consumptionDisaster managementsensor dataSystematic reviewSmart gridRisk analysis (engineering)13. Climate actionbusiness
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Understanding the human behaviors in dynamic urban areas of interest

2020

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…

[INFO.INFO-ET] Computer Science [cs]/Emerging Technologies [cs.ET][INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET]
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Movement Behavior Analysis of Workers using Spatio-temporal Trajectories for Safety Management

2019

International audience

[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing[INFO.INFO-IU] Computer Science [cs]/Ubiquitous Computing[INFO]Computer Science [cs][INFO] Computer Science [cs]ComputingMilieux_MISCELLANEOUS
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Leveraging BIM and Big Data to deliver well maintained highways

2017

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…

Engineeringbusiness.industry020209 energySupply chainData managementBig data0211 other engineering and technologiesHuman Factors and Ergonomics02 engineering and technologyBuilding and ConstructionPredictive analyticsTransport engineeringFacility managementProduct life-cycle managementBuilding information modeling021105 building & constructionArchitecture0202 electrical engineering electronic engineering information engineeringAsset managementbusinessFacilities
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Big Data Applications for Disaster Management

2017

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,…

big datadisaster management[SHS.GESTION]Humanities and Social Sciences/Business administration[INFO]Computer Science [cs][INFO] Computer Science [cs]ChallengesNetworks[SHS.GESTION] Humanities and Social Sciences/Business administrationClouddisasterssensor data
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Building Information Modeling (BIM) Enabled Facilities Management Using Hadoop Architecture

2017

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…

business.industryComputer science020209 energyData managementBig data0211 other engineering and technologiesIntegration02 engineering and technology[SPI.TRON] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/ElectronicsFacility managementData visualizationData acquisitionBuilding information modeling021105 building & constructionManagement system0202 electrical engineering electronic engineering information engineeringSystems engineeringbusinessWireless sensor network
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Powering Complex Business Signals' Classification using Enriched Taxonomy by Existing Data Sources

2022

[INFO] Computer Science [cs]
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SARS-CoV-2 infection and venous thromboembolism after surgery: an international prospective cohort study

2021

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…

Malepulmonary embolismInternationalitySettore MED/18 - CHIRURGIA GENERALEDeep veinVascular damage Radboud Institute for Health Sciences [Radboudumc 16]infectious diseasesCardiovascularSARS‐CoV‐2surgeryCOVID-19 ; SARS-CoV-2 ; deep vein thrombosis ; pulmonary embolism ; venous thromboembolismCohort StudiesPostoperative ComplicationsAnesthesiologyMedicine and Health SciencesProspective Studies610 Medicine & healthProspective cohort studyLung11 Medical and Health SciencesConfoundingHematologyMiddle AgedThrombosis17 Psychology and Cognitive SciencesCOVID-19; deep vein thrombosis; pulmonary embolism; SARS-CoV-2; venous thromboembolismPulmonary embolismCOVID-19; SARS-CoV-2; deep vein thrombosis; pulmonary embolism; venous thromboembolism.medicine.anatomical_structureCohortCOVID-19/complicationsPostoperative Complications/etiologyOriginal ArticleFemalePatient SafetyLife Sciences & BiomedicineCOVID-19; SARS-CoV-2; deep vein thrombosis; pulmonary embolism; venous thromboembolismHumanAdultmedicine.medical_specialtyAdolescentClinical Sciencesvenous thromboembolism610 Medicine & healthGlobalSurg CollaborativeVenous Thromboembolism/etiologydeep vein thrombosisNOCOVIDSurg CollaborativeYoung AdultMedicine General & InternalAge DistributionClinical ResearchCOVID‐19General & Internal MedicinemedicineHumansSex DistributionAgedScience & Technologybusiness.industrySARS-CoV-2PreventionNeurosciencesdeep vein thrombosiCOVID-19PneumoniaOdds ratioOriginal Articlesmedicine.diseaseSurgeryReconstructive and regenerative medicine Radboud Institute for Health Sciences [Radboudumc 10]Prospective StudieGood Health and Well BeingAnesthesiology and Pain MedicineHuman medicinePostoperative ComplicationCohort StudiebusinessVenous thromboembolism[SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
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