• International conference on construction engineering and project management
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• 2009.05a
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• pp.1094-1099
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• 2009

Workforce information is important in production planning because production planning requires matching a production unit's capacity to loads of assignments. However, tracking and managing workforce information such as skills and accident history is not an easy job. This paper describes a prototype database system for a workforce database system that employs RFID technology. This system tracks daily workforce production capacity on sites. A pilot project is described to explore the benefits and possibility of using radio-frequency identification (RFID) to track and manage workforce information, and is followed by the results of a survey to identify benefits. In addition to the survey identifying the benefits of the database system, the paper also presents a list of challenges through a series of interviews.

• Transactions of the Korean Society of Automotive Engineers
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• v.21 no.2
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• pp.63-71
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• 2013

The estimation of occupant injury risk at crash accident is one of the most important assessments for the vehicle crashworthiness performance. The design of safety devices such as occupant restraining system also depend on the kinematics of occupant and its injury risk. The real world in-depth accident investigation provides detailed and realistic information of vehicle damage and occupant injury as well as the accident conditions. This paper introduces a statistical analysis of NASS/CDS database and domestic accident data to correlate speed change, vehicle damage extend, and occupant injury at frontal crash. The maximum crush extend shows a linear relationship with the effective impact speed. The injury risks of the occupant with and without restraining were also respectively quantified with the crush extend. This result can be effectively used for the emergent rescue of crash victims with automatic crash notification system.

• Journal of the Korean Society of Safety
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• v.29 no.3
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• pp.98-106
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• 2014

This study proposes severity analysis for pedestrian accidents by improving variables which were used for general severity analysis. The existing variables were collected based on the interviews with policeman or witnesses and evidence of accidents. Therefore, existing variables were subjective and had several measurement errors. In order to improve such problems, this study collected variables from vehicle recorder of taxi which recorded the moment of accidents. As a result, explanatory power of independent variables was enhanced and the complete objective variables could be collected. After collecting variables, ordered probit model was developed by utilizing vehicle recorder database. Fitness of ordered probit model was 0.23. Vehicle speed and pedestrian's eye direction variables were the most critical factors for severity of pedestrian accident. In addition, severity analysis for vulnerable pedestrian was carried out. As a result, it was revealed that vehicle speed, pedestrian's eye direction and safety zone variables affected the severity of pedestrian accidents most. Particularly, vehicle speed variable is the most important factor. Consequently, driver's defensive driving and compliance to the regulations are the priority to reduce severity of pedestrian accidents and prevent pedestrian accident.

• Journal of Advanced Navigation Technology
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• v.22 no.3
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• pp.198-204
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• 2018

In this paper, It proposed the development of integrated data management's prototype system for aviation accident and incident system. With the recent development of the aviation accident investigation equipment, accident investigation system should collect and manage the various types of jpg, avi, and wav data files. However, the ECCAIRS system does not have a separate database for managing the various generated data during the accident investigation. And the Korea aviation accident management system also has the same problem. Therefore, in this paper, we analyze the aviation accident report system of major foreign countries and prepare a method to apply it to the domestic environment. Through the prototype of the integrated data management system, we confirmed the performance through inputting the existing data and the recently investigated data. We will use this result as basic data for completion of final integrated data management system.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2005.11a
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• pp.452-455
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• 2005

In order to reproduce the traffic accident, It must save the data automatically which traffic accident 30 seconds before using black box. The Black Box can detect traffic crash accidents automatically, and record the vehicle's motion and driver's maneuvers during a pre-defined time Belied before and after the accident. But it is not easy for the police to catch running away criminal. Because, criminal can remove proof if it is 2 hours or 3 hours at least. Therefore, in this paper, in order to catch a hit and run driver in the traffic accident road, it developed an structured Query Language Server and made parts database algorithm.

• Journal of the Korean Society for Railway
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• v.12 no.5
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• pp.819-828
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• 2009

This paper suggests to standardize railway accident restoration types as the code and standard operation system for efficient railway accident management. First of all, the damage types of have been carefully analyzed and reclassified. This study suggested the combination of 3 distinct code factors: restoration class, restoration object, and restoration location to standardize them. In addition, this study suggested procedures to make the standard operation system of emergency restoration, defined the worst case of emergency restoration and the important events. Therefore, the standard operation system of emergency restoration is developed. It shall play a major role as the database system for railway accident management, minimum of damage and rapid control of accident.

• Korea Journal of Hospital Management
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• v.26 no.1
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• pp.17-25
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• 2021

This study aimed to analysis factors related to in-hospital death of injured patients by patient safety accident. A total of 1,529 inpatients were selected from Korea Centers for Disease Control and Prevention database(2013-2017). Frequency, Fisher's exact test, t-test, ANOVA, logistic regression analyses by using STATA 12.0 were performed. Analysis results show that the mortality rate was lower for female than male but the mortality rate was higher for the older age, the higher the CCI, head (or neck), multiple, systemic damage sites, internal and others, metropolitan cities based on Seoul and 300-499 based on the bed size of 100-299. Based on these findings, the possibility of using the in-depth investigation of discharge damage from the Korea Centers for Disease Control and Prevention as a data source for the patient safety survey conducted to understand the actual status of patient safety accident types, frequency, and trends should be reviewed. Also, it is necessary to prevent injury and minimize death by identifying factors that affect death after injury by patient safety accident.

• Journal of Auto-vehicle Safety Association
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• v.9 no.3
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• pp.46-52
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• 2017

In this study, safety evaluation scenarios on "cut-in" situation are presented to assess the performance of automatic emergency braking systems. The ASSESS project in EU is surveyed for derive efficient test scenarios for cut-in situation. The TASS database are also analyzed to find representative accident scenarios in Korea. With the results of the ASSESS and TASS, the safety evaluation scenarios in cut-in situations are suggested and the scenarios are tested with simulation software PRESCAN.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2004.10a
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• pp.576-579
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• 2004

Recently, using GPS and equipment that recognizes the position of the car such a computer system inside the car are very universalized. Specially, the technique that diagnoses troubles and prevents troubles through scanning engine ECU is very popularized also. However, because these data have to be directly transferred and received from the car, in cases of traffic accident such as serious damage or car theft, it is impossible to receive the data at the time of accident. In order to receive and preserve the data safely regardless of these situations, it is possible to provide data for analyzing reasons of accident and prevent accidents from occurring by using wireless communication to receive the transferred information of the car, then saving into a Database system DB, or grasping the situation of the car and the driving pattern of drivers through analyzing stored data. Moreover, due to developing some related services such as providing the information about the real time of the accident, diagnoses of the car and alarms, etc. It is expected to contribute to creating added values.

• Journal of the Korean Society of Safety
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• v.27 no.5
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• pp.203-210
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• 2012

Traffic accident risk of young drivers(less than 25) is reported to have 8 times as high as that of middle aged drivers(between 30 and 49). Despite the rise of traffic accident risk, few have been attempted to take a look into driving characteristics of young drivers. The purpose of this paper is to analyze age-specific risks of young driver by means of database of insurance and vehicle inspection, thereby collecting data such as age, vehicle mileage, injuries and so on. We conducted Data-Mining(CART) and Portfolio analysis according to age groups(every 10 years). The conclusions which can be drawn from this empirical study are as follows: (1) Despite the fact that young drivers have low vehicle mileage, the rate of fatality is relatively high. (2) Being concerned of vehicle mileage, 24,000km of driving experience is thought to be critical in differing in fatality rate. Having annual average mileage fewer than 24,169 km, accident frequency is relatively lower than that exceeding 24,169 km(1,571 cases). Backed upon these, some recommendations about driver's license system for young driver to improve are given.