The Experts below are selected from a list of 234 Experts worldwide ranked by ideXlab platform
Sungjoo Hwang - One of the best experts on this subject based on the ideXlab platform.
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Information Retrieval Framework for Hazard Identification in Construction
Journal of Computing in Civil Engineering, 2015Co-Authors: Moonseo Park, Booyoung Chung, Sungjoo HwangAbstract:AbstractThe repetitive occurrence of similar Accidents in construction is one of the most prevalent characteristics of construction Accidents. Similar Accident Cases provide direct information for determining the risks of scheduled activities and for planning safety countermeasures. Moreover, understanding these Cases gives laborers the chance to evade and prepare for an expected Accident in their workspaces. Researchers have developed many systems in order to retrieve and use past Accident Cases. Although the developed systems have a clear and limited target (user), most of them were developed under retrieval methods based on ad hoc systems, which can cause inconvenience to users in using the retrieval system. To overcome these limitations, this study proposes an automated information (about past Accident Case) retrieval system that can automatically search for and provide (as a push system) similar Accident Cases. The retrieval system extracts building information modeling (BIM) objects and composes a q...
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Information Retrieval Framework for Hazard Identification in Construction
Journal of Computing in Civil Engineering, 2015Co-Authors: Hyunsoo Kim, Booyoung Chung, Hyun Soo Lee, Moonseo Park, Sungjoo HwangAbstract:The repetitive occurrence of similar Accidents in construction is one of the most prevalent characteristics of construction Accidents. Similar Accident Cases provide direct information for determining the risks of scheduled activities and for planning safety countermeasures. Moreover, understanding these Cases gives laborers the chance to evade and prepare for an expected Accident in their workspaces. Researchers have developed many systems in order to retrieve and use past Accident Cases. Although the developed systems have a clear and limited target (user), most of them were developed under retrieval methods based on ad hoc systems, which can cause inconvenience to users in using the retrieval system. To overcome these limitations, this study proposes an automated information (about past Accident Case) retrieval system that can automatically search for and provide (as a push system) similar Accident Cases. The retrieval system extracts building information modeling (BIM) objects and composes a query set by combining BIM objects with a project management information system (PMIS). In this Case, a query set is composed based on work, work conditions, and laborers. The suggested information retrieval system compares a query set with past Accident Cases and retrieves similar Cases with their similarity score. The result includes the coordination where similar past Accident Cases can occur on the current site and the past Accident Cases are automatically pushed to the highly relevant laborers. Based on the results of this study, the end users (managers and laborers) can excessively reduce query generation. Furthermore, laborers can easily avoid risks by being provided with similar past Accident Cases that can happen while they work. © 2014 American Society of Civil Engineers.
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Information Retrieval in Construction Hazard Identification
Korean Journal of Construction Engineering and Management, 2011Co-Authors: Moonseo Park, Sungjoo HwangAbstract:The repetitive occurrence of similar Accident is one of the biggest feature in construction disasters. Similar Accident Cases provide direct information for finding risk of scheduled activities and planning safety countermeasure. Many systems are developed to retrieve and use past Accident Cases by researchers. However, these researches have some limitations for performing too much retrieval to obtain results considering construction site conditions or not reflecting characteristics of safety planning steps or both. To overcome these limitations, this study proposes Accident Case retrieval system that can search similar Accident Cases. It also helps safety planning using information retrieval and building information modeling. The retrieval system extracts BIM objects and composes a query set combining BIM objects with site information DB. With past Accident Cases DB compares a query set, it seeks the most similar Case. And results are provided to safety managers. Based on results of this study, safety managers can reduce excessive query generation. Furthermore, they can be easy to recognize risk of a construction site by obtaining coordinations of objects where similar Accidents occurred.
Byung-mo Yang - One of the best experts on this subject based on the ideXlab platform.
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Validating the Applicability of MACCS2 on the Assessment of Radionuclide Deposition Over the Ocean in Fukushima Daiichi Nuclear Power Plant Accident Case
Journal of Coastal Research, 2017Co-Authors: Kihyun Park, Byung-mo YangAbstract:ABSTRACT Kim, S.; Park, K., and Yang, B.-M., 2017. Validating the applicability of MACCS2 on the assessment of radionuclide deposition over the ocean in Fukushima Daiichi nuclear power plant Accident Case. In: Lee, J.L.; Griffiths, T.; Lotan, A.; Suh, K.-S., and Lee, J. (eds.), The 2nd International Water Safety Symposium. Journal of Coastal Research, Special Issue No. 79, pp. 55–59. Coconut Creek (Florida), ISSN 0749-0208. On 11 March 2011, an enormous earthquake and tsunami occurred and caused a severe nuclear Accident at the Fukushima Daiichi Nuclear Power Plant (FDNPP) in Japan. Following the FDNPP Accident, a significant amount of radionuclides were released into the environment. The radionuclides were released into the ocean by direct emission in liquid form or by atmospheric deposition onto the sea surface. According to the 2013 UNSCEAR report, atmospheric deposition of radionuclides significantly contributed to the contamination of the ocean, as did direct emission. The MELCOR Accident Consequence...
Seiichi Oshita - One of the best experts on this subject based on the ideXlab platform.
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radioactive nuclides in vegetables and soil resulting from low level radioactive fallout after the fukushima daiichi nuclear power plant Accident Case studies in tokyo and fukushima
2013Co-Authors: Seiichi OshitaAbstract:Vegetables and field soils about 60 and 230 km away from the Fukushima Daiichi nuclear power plant were examined for 134Cs and 137Cs radioactivity. The total 134Cs and 137Cs transferred was <7 Bq/kg wet weight in potato tubers grown in fields where the total 134Cs and 137Cs concentration in the soil was ≤1,235 Bq/kg dry weight. For the edible parts of lettuce and cabbage, the total 134Cs and 137Cs concentrations were lower than the detection limit. In this Case, the maximum value in soil was 651.2 Bq/kg dry weight.
Rémy Willinger - One of the best experts on this subject based on the ideXlab platform.
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In-depth real-world bicycle Accident reconstructions
International Journal of Crashworthiness, 2013Co-Authors: Nicolas Bourdet, Caroline Deck, Thierry Serre, Christophe Perrin, Maxime Llari, Rémy WillingerAbstract:Use of bicycles on a large scale, encouraged in the context to develop an eco-friendly environment, is facing today a range of barriers. One of these barriers identified by researchers and governments is observed to include ‘road safety’. Hence, it is necessary to set up a protection system for bicyclists especially for the cephalic segment. Currently only few studies are available concerning the head impact loading in Case of real Accidents. Therefore, the objective of this work is to improve the knowledge of bicyclist head trauma by following a methodology to reconstruct real-world Accidents. A step is to identify the initial condition of head impact in Case of real Accidents. Head impact velocity and head impact area are extracted and implemented in the last generation of head injury prediction tool to simulate the head trauma by impacting directly the Strasbourg University Finite Element Head Model (SUFEHM) on the vehicle structures. The present study can be divided into three activities, i.e. obtain real bicyclist Accidents’ data issued from in-depth Accident investigation databases, reconstruct cyclist body kinematics to obtain the initial conditions of the head just before the impact, and simulate head impact to evaluate the head loading during impact and the injury risk. A total of 24 bicyclists’ Accident Cases with head injuries have been selected from both French and German Accident databases. For each Accident Case, body kinematics has been simulated using Madymo® software. Two human multi-body models were used: 8 Accident Cases have been reconstructed by IFSTTAR using its owned developed human model and 18 Accident Cases have been reconstructed by Unistra using the human pedestrian TNO model. The results show that head is impacted more often on top parietal zone, and the mean impact velocity is 6.8 ± 2.7 m/s with 5.5 ± 3.0 m/s and 3.4 ± 2.1 m/s for normal and tangential components, respectively. Among these real Accidents, 19 Cases were selected for finite element computations by coupling the human head model and a windscreen model whose properties were extracted from literature. All reconstructed head impact gave results in accordance with the damage actually incurred to the victims.
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Methodology for a global bicycle real world Accidents reconstruction
2012Co-Authors: Nicolas Bourdet, Caroline Deck, Thierry Serre, Christophe Perrin, Maxime Llari, Rémy WillingerAbstract:The use of the bicycle on a large scale encouraged in the context to develop an eco friendly environment is facing today on a range of barriers. One of these barriers identified by researchers and governments is observed to include ‘road safety’. Hence, it is necessary to set up a protection system for bicyclists especially for the cephalic segment. Currently only few studies are available concerning the head impact loading in Case of real Accidents. Therefore, the objective of this work is to identify the initial condition of head impact in Case of real Accident. Head impact velocity and head impact area are extracted and implemented in the last generation of head injury prediction tool to simulate the head trauma by impacting directly the Strasbourg University Finite Element Head Model (SUFEHM) on the vehicle structures. The present study can be divided into three activities i.e. obtain real bicyclist Accidents data issued from in depth Accident investigation databases, cyclist body kinematic reconstruction to obtain the initial conditions of the head just before the impact and head impact simulation to evaluate the head loading during impact and the injury risk. A total of 26 bicyclists’ Accident Cases with head injuries have been collected from both a French and a German Accident database. For each Accident Case, body kinematic has been simulated using Madymo® software. Two methodologies and human multibody models were used: 10 Accident Cases have been reconstructed by IFSTTAR using its owned developed human model and 16 Accident Cases have been reconstructed by Unistra using the human pedestrian TNO model. The results show that the head is impacted more often on top parietal zone, and the mean impact velocity is 6.8 ± 2.7 m/s with 5.5 ± 3.0 m/s and 3.4 ± 2.1 m/s for normal and tangential components respectively. Among these real Accidents, 19 Cases have been selected to be simulated by finite element computations by coupling the human head model and a windscreen model whose properties were extracted from literature. All reconstructed head impact gave results in accordance with the damage actually incurred to the victims. The objective of this study is to demonstrate the feasibility of numerical reconstruction as an understanding tool of the head impact conditions in bicyclist's Accident Cases, and hence providing knowledge for helmet optimization using biomechanical criteria.
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Behaviour of helmets during head impact in real Accident Cases of motorcyclists
International Journal of Crashworthiness, 2012Co-Authors: Nicolas Bourdet, Caroline Deck, V. Tinard, Rémy WillingerAbstract:A motorcyclist is a vulnerable road user and the most often injured body segment is the head. The present study deals with motorcyclist's head protection and is focused on the behaviour of the helmet during simulated head impact in real Accident Cases. The analysis of real-world motorcyclist head trauma can be divided into three steps, i.e. Accidentology to collect several real Accident Cases, kinematics reconstruction to obtain the initial conditions of the head just before the impact and helmeted head impact simulation to evaluate the behaviour of the helmet during impact and to assess the head injury risk. For each Accident Case, body kinematics has been simulated using MADYMO software. The initial condition, in terms of velocity and impact location, of the head just before the impact was then extracted and implemented in the finite element model of the human head coupled with a validated finite element model of a helmet in order to reconstruct the head impact. This impact analysis on the helmeted head...
Moonseo Park - One of the best experts on this subject based on the ideXlab platform.
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Information Retrieval Framework for Hazard Identification in Construction
Journal of Computing in Civil Engineering, 2015Co-Authors: Moonseo Park, Booyoung Chung, Sungjoo HwangAbstract:AbstractThe repetitive occurrence of similar Accidents in construction is one of the most prevalent characteristics of construction Accidents. Similar Accident Cases provide direct information for determining the risks of scheduled activities and for planning safety countermeasures. Moreover, understanding these Cases gives laborers the chance to evade and prepare for an expected Accident in their workspaces. Researchers have developed many systems in order to retrieve and use past Accident Cases. Although the developed systems have a clear and limited target (user), most of them were developed under retrieval methods based on ad hoc systems, which can cause inconvenience to users in using the retrieval system. To overcome these limitations, this study proposes an automated information (about past Accident Case) retrieval system that can automatically search for and provide (as a push system) similar Accident Cases. The retrieval system extracts building information modeling (BIM) objects and composes a q...
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Information Retrieval Framework for Hazard Identification in Construction
Journal of Computing in Civil Engineering, 2015Co-Authors: Hyunsoo Kim, Booyoung Chung, Hyun Soo Lee, Moonseo Park, Sungjoo HwangAbstract:The repetitive occurrence of similar Accidents in construction is one of the most prevalent characteristics of construction Accidents. Similar Accident Cases provide direct information for determining the risks of scheduled activities and for planning safety countermeasures. Moreover, understanding these Cases gives laborers the chance to evade and prepare for an expected Accident in their workspaces. Researchers have developed many systems in order to retrieve and use past Accident Cases. Although the developed systems have a clear and limited target (user), most of them were developed under retrieval methods based on ad hoc systems, which can cause inconvenience to users in using the retrieval system. To overcome these limitations, this study proposes an automated information (about past Accident Case) retrieval system that can automatically search for and provide (as a push system) similar Accident Cases. The retrieval system extracts building information modeling (BIM) objects and composes a query set by combining BIM objects with a project management information system (PMIS). In this Case, a query set is composed based on work, work conditions, and laborers. The suggested information retrieval system compares a query set with past Accident Cases and retrieves similar Cases with their similarity score. The result includes the coordination where similar past Accident Cases can occur on the current site and the past Accident Cases are automatically pushed to the highly relevant laborers. Based on the results of this study, the end users (managers and laborers) can excessively reduce query generation. Furthermore, laborers can easily avoid risks by being provided with similar past Accident Cases that can happen while they work. © 2014 American Society of Civil Engineers.
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Information Retrieval in Construction Hazard Identification
Korean Journal of Construction Engineering and Management, 2011Co-Authors: Moonseo Park, Sungjoo HwangAbstract:The repetitive occurrence of similar Accident is one of the biggest feature in construction disasters. Similar Accident Cases provide direct information for finding risk of scheduled activities and planning safety countermeasure. Many systems are developed to retrieve and use past Accident Cases by researchers. However, these researches have some limitations for performing too much retrieval to obtain results considering construction site conditions or not reflecting characteristics of safety planning steps or both. To overcome these limitations, this study proposes Accident Case retrieval system that can search similar Accident Cases. It also helps safety planning using information retrieval and building information modeling. The retrieval system extracts BIM objects and composes a query set combining BIM objects with site information DB. With past Accident Cases DB compares a query set, it seeks the most similar Case. And results are provided to safety managers. Based on results of this study, safety managers can reduce excessive query generation. Furthermore, they can be easy to recognize risk of a construction site by obtaining coordinations of objects where similar Accidents occurred.