The Experts below are selected from a list of 324 Experts worldwide ranked by ideXlab platform
Aura Ganz - One of the best experts on this subject based on the ideXlab platform.
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Evaluation of a scalable information analytics system for enhanced situational awareness in mass casualty events
International Journal of Telemedicine and Applications, 2016Co-Authors: Aura Ganz, James M. Schafer, Zhuorui Yang, Graydon Lord, Jun Yi, Gregory CiottoneAbstract:We investigate the utility of DIORAMA-II system which provides enhanced situational awareness within a disaster scene by using real-time visual analytics tools and a collaboration platform between the Incident Commander and the emergency responders. Our trials were conducted in different geographical areas (feature-rich and featureless regions) and in different lighting conditions (daytime and nighttime). DIORAMA-II obtained considerable time gain in efficiency compared to conventional paper based systems. DIORAMA-II time gain was reflected in reduction of both average triage time per patient (up to 34.3% average triage time reduction per patient) and average transport time per patient (up to 76.3% average transport time reduction per red patient and up to 66.3% average transport time reduction per yellow patient). In addition, DIORAMA-II ensured that no patients were left behind or transported in the incorrect order compared to the conventional method which resulted in patients being left behind and transported in the incorrect order.
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Urban Search and Rescue Situational Awareness using DIORAMA Disaster Management System
Procedia Engineering, 2015Co-Authors: Aura Ganz, Zhuorui Yang, Jun Yi, James Schafer, Jingyan Tang, Gregory R. CiottoneAbstract:Abstract In this paper we introduce the DIORAMA based system that provides situational awareness for urban search and rescue operations in both indoor and outdoor settings, significantly improving the operations’ efficiency. Using a Smartphone, DIORAMA enables the responders to triage patients with active RFID tags, and to mark the locations of trapped patients and points of interest (e.g. fire, chemical spill, collapse buildings). In addition, the tagged patients’ location will be automatically tracked and updated on the interface. The Incident Commander can also interact with the responders on-site using the DIORAMA interface either on a Smartphone or a tablet. The DIORAMA system uses active RFID technology as well as visual analytics tools.
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EMBC - Autonomous mobile platform for enhanced situational awareness in Mass Casualty Incidents
Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and, 2014Co-Authors: Dongyi Yang, James Schafer, Sili Wang, Aura GanzAbstract:: To enhance the efficiency of the search and rescue process of a Mass Casualty Incident, we introduce a low cost autonomous mobile platform. The mobile platform motion is controlled by an Android Smartphone mounted on a robot. The pictures and video captured by the Smartphone camera can significantly enhance the situational awareness of the Incident Commander leading to a more efficient search and rescue process. Moreover, the active RFID readers mounted on the mobile platform can improve the localization accuracy of victims in the disaster site in areas where the paramedics are not present, reducing the triage and evacuation time.
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Autonomous mobile platform for enhanced situational awareness in Mass Casualty Incidents
2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014Co-Authors: Dongyi Yang, James Schafer, Sili Wang, Aura GanzAbstract:To enhance the efficiency of the search and rescue process of a Mass Casualty Incident, we introduce a low cost autonomous mobile platform. The mobile platform motion is controlled by an Android Smartphone mounted on a robot. The pictures and video captured by the Smartphone camera can significantly enhance the situational awareness of the Incident Commander leading to a more efficient search and rescue process. Moreover, the active RFID readers mounted on the mobile platform can improve the localization accuracy of victims in the disaster site in areas where the paramedics are not present, reducing the triage and evacuation time.
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Mobile DIORAMA-II: Infrastructure less information collection system for mass casualty Incidents
2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014Co-Authors: Aura Ganz, James M. Schafer, Zhuorui Yang, Graydon Lord, Jun Yi, Gregory CiottoneAbstract:In this paper we introduce DIORAMA-II system that provides real time information collection in mass casualty Incidents. Using a mobile platform that includes active RFID tags and readers as well as Smartphones, the system can determine the location of victims and responders. The system provides user friendly multi dimensional user interfaces as well as collaboration tools between the responders and the Incident Commander. We conducted two simulated mass casualty Incidents with 50 victims each and professional responders. DIORAMA-II significantly reduces the evacuation time by up to 43% when compared to paper based triage systems. All responders that participated in all trials were very satisfied. They felt in control of the Incident and mentioned that the system significantly reduced their stress level during the Incident. They all mentioned that they would use the system in an actual Incident.
Timo Ropinski - One of the best experts on this subject based on the ideXlab platform.
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SSRR - An interactive visualization system for urban search & rescue mission planning
2014 IEEE International Symposium on Safety Security and Rescue Robotics (2014), 2014Co-Authors: Alexander Bock, Alexander Kleiner, Jonas Lundberg, Timo RopinskiAbstract:We present a visualization system for Incident Commanders in urban search & rescue scenarios that supports the inspection and access path planning in post-disaster structures. Utilizing point cloud data acquired from unmanned robots, the system allows for assessment of automatically generated paths, whose computation is based on varying risk factors, in an interactive 3D environment increasing immersion. The Incident Commander interactively annotates and reevaluates the acquired point cloud based on live feedback. We describe design considerations, technical realization, and discuss the results of an expert evaluation that we conducted to assess our system.
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An interactive visualization system for urban search & rescue mission planning
2014 IEEE International Symposium on Safety Security and Rescue Robotics (2014), 2014Co-Authors: Alexander Bock, Alexander Kleiner, Jonas Lundberg, Timo RopinskiAbstract:We present a visualization system for Incident Commanders in urban search & rescue scenarios that supports the inspection and access path planning in post-disaster structures. Utilizing point cloud data acquired from unmanned robots, the system allows for assessment of automatically generated paths, whose computation is based on varying risk factors, in an interactive 3D environment increasing immersion. The Incident Commander interactively annotates and reevaluates the acquired point cloud based on live feedback. We describe design considerations, technical realization, and discuss the results of an expert evaluation that we conducted to assess our system.
Jun Yi - One of the best experts on this subject based on the ideXlab platform.
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Evaluation of a scalable information analytics system for enhanced situational awareness in mass casualty events
International Journal of Telemedicine and Applications, 2016Co-Authors: Aura Ganz, James M. Schafer, Zhuorui Yang, Graydon Lord, Jun Yi, Gregory CiottoneAbstract:We investigate the utility of DIORAMA-II system which provides enhanced situational awareness within a disaster scene by using real-time visual analytics tools and a collaboration platform between the Incident Commander and the emergency responders. Our trials were conducted in different geographical areas (feature-rich and featureless regions) and in different lighting conditions (daytime and nighttime). DIORAMA-II obtained considerable time gain in efficiency compared to conventional paper based systems. DIORAMA-II time gain was reflected in reduction of both average triage time per patient (up to 34.3% average triage time reduction per patient) and average transport time per patient (up to 76.3% average transport time reduction per red patient and up to 66.3% average transport time reduction per yellow patient). In addition, DIORAMA-II ensured that no patients were left behind or transported in the incorrect order compared to the conventional method which resulted in patients being left behind and transported in the incorrect order.
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Urban Search and Rescue Situational Awareness using DIORAMA Disaster Management System
Procedia Engineering, 2015Co-Authors: Aura Ganz, Zhuorui Yang, Jun Yi, James Schafer, Jingyan Tang, Gregory R. CiottoneAbstract:Abstract In this paper we introduce the DIORAMA based system that provides situational awareness for urban search and rescue operations in both indoor and outdoor settings, significantly improving the operations’ efficiency. Using a Smartphone, DIORAMA enables the responders to triage patients with active RFID tags, and to mark the locations of trapped patients and points of interest (e.g. fire, chemical spill, collapse buildings). In addition, the tagged patients’ location will be automatically tracked and updated on the interface. The Incident Commander can also interact with the responders on-site using the DIORAMA interface either on a Smartphone or a tablet. The DIORAMA system uses active RFID technology as well as visual analytics tools.
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Mobile DIORAMA-II: Infrastructure less information collection system for mass casualty Incidents
2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014Co-Authors: Aura Ganz, James M. Schafer, Zhuorui Yang, Graydon Lord, Jun Yi, Gregory CiottoneAbstract:In this paper we introduce DIORAMA-II system that provides real time information collection in mass casualty Incidents. Using a mobile platform that includes active RFID tags and readers as well as Smartphones, the system can determine the location of victims and responders. The system provides user friendly multi dimensional user interfaces as well as collaboration tools between the responders and the Incident Commander. We conducted two simulated mass casualty Incidents with 50 victims each and professional responders. DIORAMA-II significantly reduces the evacuation time by up to 43% when compared to paper based triage systems. All responders that participated in all trials were very satisfied. They felt in control of the Incident and mentioned that the system significantly reduced their stress level during the Incident. They all mentioned that they would use the system in an actual Incident.
Zhuorui Yang - One of the best experts on this subject based on the ideXlab platform.
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Evaluation of a scalable information analytics system for enhanced situational awareness in mass casualty events
International Journal of Telemedicine and Applications, 2016Co-Authors: Aura Ganz, James M. Schafer, Zhuorui Yang, Graydon Lord, Jun Yi, Gregory CiottoneAbstract:We investigate the utility of DIORAMA-II system which provides enhanced situational awareness within a disaster scene by using real-time visual analytics tools and a collaboration platform between the Incident Commander and the emergency responders. Our trials were conducted in different geographical areas (feature-rich and featureless regions) and in different lighting conditions (daytime and nighttime). DIORAMA-II obtained considerable time gain in efficiency compared to conventional paper based systems. DIORAMA-II time gain was reflected in reduction of both average triage time per patient (up to 34.3% average triage time reduction per patient) and average transport time per patient (up to 76.3% average transport time reduction per red patient and up to 66.3% average transport time reduction per yellow patient). In addition, DIORAMA-II ensured that no patients were left behind or transported in the incorrect order compared to the conventional method which resulted in patients being left behind and transported in the incorrect order.
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Urban Search and Rescue Situational Awareness using DIORAMA Disaster Management System
Procedia Engineering, 2015Co-Authors: Aura Ganz, Zhuorui Yang, Jun Yi, James Schafer, Jingyan Tang, Gregory R. CiottoneAbstract:Abstract In this paper we introduce the DIORAMA based system that provides situational awareness for urban search and rescue operations in both indoor and outdoor settings, significantly improving the operations’ efficiency. Using a Smartphone, DIORAMA enables the responders to triage patients with active RFID tags, and to mark the locations of trapped patients and points of interest (e.g. fire, chemical spill, collapse buildings). In addition, the tagged patients’ location will be automatically tracked and updated on the interface. The Incident Commander can also interact with the responders on-site using the DIORAMA interface either on a Smartphone or a tablet. The DIORAMA system uses active RFID technology as well as visual analytics tools.
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Mobile DIORAMA-II: Infrastructure less information collection system for mass casualty Incidents
2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014Co-Authors: Aura Ganz, James M. Schafer, Zhuorui Yang, Graydon Lord, Jun Yi, Gregory CiottoneAbstract:In this paper we introduce DIORAMA-II system that provides real time information collection in mass casualty Incidents. Using a mobile platform that includes active RFID tags and readers as well as Smartphones, the system can determine the location of victims and responders. The system provides user friendly multi dimensional user interfaces as well as collaboration tools between the responders and the Incident Commander. We conducted two simulated mass casualty Incidents with 50 victims each and professional responders. DIORAMA-II significantly reduces the evacuation time by up to 43% when compared to paper based triage systems. All responders that participated in all trials were very satisfied. They felt in control of the Incident and mentioned that the system significantly reduced their stress level during the Incident. They all mentioned that they would use the system in an actual Incident.
Alexander Kleiner - One of the best experts on this subject based on the ideXlab platform.
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SSRR - An interactive visualization system for urban search & rescue mission planning
2014 IEEE International Symposium on Safety Security and Rescue Robotics (2014), 2014Co-Authors: Alexander Bock, Alexander Kleiner, Jonas Lundberg, Timo RopinskiAbstract:We present a visualization system for Incident Commanders in urban search & rescue scenarios that supports the inspection and access path planning in post-disaster structures. Utilizing point cloud data acquired from unmanned robots, the system allows for assessment of automatically generated paths, whose computation is based on varying risk factors, in an interactive 3D environment increasing immersion. The Incident Commander interactively annotates and reevaluates the acquired point cloud based on live feedback. We describe design considerations, technical realization, and discuss the results of an expert evaluation that we conducted to assess our system.
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An interactive visualization system for urban search & rescue mission planning
2014 IEEE International Symposium on Safety Security and Rescue Robotics (2014), 2014Co-Authors: Alexander Bock, Alexander Kleiner, Jonas Lundberg, Timo RopinskiAbstract:We present a visualization system for Incident Commanders in urban search & rescue scenarios that supports the inspection and access path planning in post-disaster structures. Utilizing point cloud data acquired from unmanned robots, the system allows for assessment of automatically generated paths, whose computation is based on varying risk factors, in an interactive 3D environment increasing immersion. The Incident Commander interactively annotates and reevaluates the acquired point cloud based on live feedback. We describe design considerations, technical realization, and discuss the results of an expert evaluation that we conducted to assess our system.
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SSRR - Towards CSP-based mission dispatching in C2/C4I systems
2012 IEEE International Symposium on Safety Security and Rescue Robotics (SSRR), 2012Co-Authors: Gerald Steinbauer, Alexander KleinerAbstract:One challenging problem in disaster response is to efficiently assign resources such as fire fighters and trucks to local Incidents that are spatially distributed on a map. Existing systems for command and control (C2/C4I) are coming with powerful interfaces enabling the manual assignment of resources to the Incident Commander. However, with increasing number of local Incidents over time the performance of manual methods departs arbitrarily from an optimal solution. In this paper we introduce preliminary results of building an interface between existing professional C2/C4I systems and Constraint Satisfaction Problem (CSP)-solvers. We show by using an example the feasibility of scheduling and assigning missions having deadlines and resource constraints.
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Towards CSP-based mission dispatching in C2/C4I systems
2012 IEEE International Symposium on Safety Security and Rescue Robotics (SSRR), 2012Co-Authors: Gerald Steinbauer, Alexander KleinerAbstract:One challenging problem in disaster response is to efficiently assign resources such as fire fighters and trucks to local Incidents that are spatially distributed on a map. Existing systems for command and control (C2/C4I) are coming with powerful interfaces enabling the manual assignment of resources to the Incident Commander. However, with increasing number of local Incidents over time the performance of manual methods departs arbitrarily from an optimal solution. In this paper we introduce preliminary results of building an interface between existing professional C2/C4I systems and Constraint Satisfaction Problem (CSP)-solvers. We show by using an example the feasibility of scheduling and assigning missions having deadlines and resource constraints.
