• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.1
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• pp.240-257
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• 2022

Autonomous vehicles use various local sensors such as camera, radar, and lidar to perceive the surrounding environment. However, it is difficult to predict the movement of vulnerable road users using only local sensors that are subject to limits in cognitive range. This is true especially when these users are blocked from view by obstacles. Hence, this paper developed an algorithm for collision avoidance with VRU using V2X information. The main purpose of this collision avoidance system is to overcome the limitations of the local sensors. The algorithm first evaluates the risk of collision, based on the current driving condition and the V2X information of the VRU. Subsequently, the algorithm takes one of four evasive actions; steering, braking, steering after braking, and braking after steering. A simulation was performed under various conditions. The results of the simulation confirmed that the algorithm could significantly improve the performance of the collision avoidance system while securing vehicle stability during evasive maneuvers.

• Journal of Korean Society of Archives and Records Management
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• v.24 no.2
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• pp.89-112
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• 2024

Metadata is a crucial component of record management, playing a vital role in properly managing and understanding the record. In cases where automatic metadata assignment is not feasible, manual input by records professionals becomes necessary. This study aims to alleviate the challenges associated with manual entry by proposing a method that harnesses ChatGPT technology for extracting records management metadata elements. To employ ChatGPT technology, a Python program utilizing the LangChain library was developed. This program was designed to analyze PDF documents and extract metadata from records through questions, both with a locally installed instance of ChatGPT and the ChatGPT online service. Multiple PDF documents were subjected to this process to test the effectiveness of metadata extraction. The results revealed that while using LangChain with ChatGPT-3.5 turbo provided a secure environment, it exhibited some limitations in accurately retrieving metadata elements. Conversely, the ChatGPT-4 online service yielded relatively accurate results despite being unable to handle sensitive documents for security reasons. This exploration underscores the potential of utilizing ChatGPT technology to extract metadata in records management. With advancements in ChatGPT-related technologies, safer and more accurate results are expected to be achieved. Leveraging these advantages can significantly enhance the efficiency and productivity of tasks associated with managing records and metadata in archives.

• Journal of Wetlands Research
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• v.26 no.3
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• pp.266-271
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• 2024

In order to minimize damage from disasters, rapid initial measures using disaster response manuals are needed. However, the existing disaster response manual is written in the form of a vast booklet, so there is a limit to accurately understanding the contents of the manual and using it for disaster response. Therefore, this study established an e-SOP system based on the disaster response manual, and suggested countermeasures using the e-SOP in the event of a disaster. Based on the guidelines for preparing the on-site action manual, the main functions of the e-SOP consisted of situation propagation, situation reporting, and situation management. In order to increase the on-site responsiveness and usability of the system, the bottom-up reporting system was strengthened so that the person in charge could report the response situation of the site to the situation room using the situation reporting function. In addition, the situation room was able to identify and manage the progress of disaster response work and support decision-making through situation reports delivered from the field.

• Proceedings of the Korean Society of Disaster Information Conference
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• 2016.11a
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• pp.366-367
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• 2016

과거 활용되던 재난관련 정보는 재난 발생을 신속하게 전파하거나, 피해규모, 복구자원 현황을 파악하는 등 재난피해 복구에 초점이 맞춰져 있었다. 그러나 최근에는 IT 기반이 확충되고 컴퓨팅 성능이 향상됨에 따라 그 양상이 변화하고 있다. 정형 및 비정형 데이터를 활용한 빅데이터 분석 기술은 재난의 예방과 대비를 위한 기술에 활용되고 있으며, 재난현장의 실시간 정보획득을 위해 IoT 기술이 도입되고 있다. 이처럼 재난정보의 수집, 관리, 분석 제공에 관한 중요성이 증대됨에 따라서 재난의 양상에 능동적으로 대처하고 정보의 효율적인 관리 및 이용을 위해 클라우드 컴퓨팅에 대한 관심이 부각되고 있다. 이에 본 논문에서는 재난관련 정보 활용 양상 변화에 대처하기 위해 재난관리시스템에 클라우드 컴퓨팅 서비스의 적용 방안을 검토하고자 한다. 사회가 복잡해짐에 따라 재난은 이제 사회 전반의 모든 정보를 다뤄야 하기 때문에, 과거 빅데이터의 3대 요소인 크기(Volume), 속도(Velocity), 다양성(Varsity)을 넘어 정확성(Veracity)과 가치(Value)를 뽑아낼 수 있는 방안에 대해 설명한다. 나아가 재난정보시스템의 효율적인 활용을 위한 클라우드 컴퓨팅 서비스의 활용방안에 대해 논의한다.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.255-255
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• 2022

안정적이고 효율적인 물 배분과 관리를 위해 하천유량 외에도 하천수 사용량 파악에 대한 관심이 높아짐에 따라 다양한 하천수 사용량 계측방법의 검증 및 표준화로 하천수 사용량 자료의 신뢰도 및 활용성을 개선할 필요가 있다. 다양한 계측방법 중에서도 전자파표면유속계는 비접촉식 유속계이므로 안전적인 측면으로 유리하고 실시간 자료처리 및 계측이 용이하여 활용도가 높다. 본 연구에서는 만경강의 하천수 사용량 파악을 위해 어우보 취수로에 설치된 전자파 표면유속계(RQ-30)를 활용하여 보정계수(K-factor)가 적용된 표면유속을 활용한 유량산정방법, 표면유속과 평균유속의 일정비율로 유량을 산정하는 방법(ISO 748), Chiu의 유속분포법을 활용한 유량산정방법, 지표유속과 인력(人力)에 의한 측정유속과의 관계인 지표유속-평균유속관계곡선식으로 환산된 유량산정 방법등을 비교·검토하고 최적의 유량산정방법을 제시하였다. 향후 전자파표면유속계를 활용한 하천수 사용량의 비교결과를 통하여 더욱 효율적이며 신뢰도 높은 하천수 관리와 실시간 물배분 효과를 기대할 수 있다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.10
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• pp.3885-3892
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• 2010

Safety-Critical systems, such as Plant Protection Systems in nuclear power plant, plays a key role that the facilities can be operated without undue risk to the health and safety of public and environment, and those systems shall be designed, fabricated, installed, and tested to quality standards commensurate with the importance of the functions to be performed. Computer-based Instrumentation and Control Systems to perform the safety-critical function have Real Time Operating Systems to control and monitoring the sub-system and executing the application software. The safety-critical Real Time Operating Systems shall be designed, analyzed, tested and evaluated to have capability to maintain a high integrity and quality. However, local nuclear power plants have applied the real time operating systems on safety critical systems through Commercial Grade Item Dedication method, and this is the reason of lack of detailed methodology on assessing the safety of real time operating systems, expecially to the new developed one. This paper presents the methodology and experiences of safety evaluation on safety-critical Real Time Operating Systems based upon design requirements. This paper may useful to develop and evaluate the safety-critical Real Time Operating Systems in other industry to ensure the safety of public and environment.

• Korean Journal of Construction Engineering and Management
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• v.14 no.1
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• pp.101-114
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• 2013

This paper presents the findings relative to the influence factors on the safety of construction worker's actions. It identifies the factors which are involved in the safety behavior exercised by construction worker. They are compiled from existing studies that investigates the factors relative to the safety behavior. This study finds some factors which have powerful direct effects on safety behavior of construction workers. In addition, a model which defines the relationship between the factors and the behaviors of workers is established to analyze the effects. This study contributes to designe a theoretical model that shows workers' behaviors and analyzes the effects attributed to these factors: i.e., organizational commitment, stress reaction, safety motivation, safety knowledge, and safety climate. Survey questionaries are administered to the workers on the construction job sites located in Daegu metropolitan city. using SPSS18.0 and AMOS18.0, Exploratory Factor Analysis, Cronbach's alpha, Confirmatory Factor Analysis, Structural Equations Model analysis were performed. The research findings are as follows; The communication and educational training have the direct effect on the safety behavior. The factors of the safety climate constraints and/or contributes to the safety motivation, safety knowledge, and organizational commitment.

• Fire Science and Engineering
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• v.32 no.5
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• pp.112-121
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• 2018

In the present study, a group of subjects consisting of "Fire Professional Engineers" was selected to examine the effects of life safety awareness and safety behaviors of the subjects on life safety through an analyses of the descriptive statistics, factors, reliability, and correlation; simple regression and three-stage regression analyses on mediation were also carried out based on the hypotheses developed. The results showed that the degree of safety behavior increased by 72.1% in accordance with the increased safety awareness of fire professional engineers; the life safety was also increased by 61.5% and 64.5% by the increases in safety awareness and safety behavior of fire professional engineers, respectively. In addition, the safety behaviors demonstrated a partial mediatory effect in the relationship between safety awareness and life safety. All hypotheses (H1, H2, H3, H4), established for the present study, were accepted based on statistical verifications that justified an amendment of the Acts pertinent to firefighting service focusing on life safety; the data are expected to be exploited to reflect significance of life safety.

• Journal of the Korea Institute of Building Construction
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• v.23 no.5
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• pp.607-618
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• 2023

Pervasive research underscores the direct correlation between an enhanced safety climate and a marked reduction in accidents. The intricacies of safety climate are governed by three pivotal strata: organizational management, on-site operations, and the broader enterprise framework. Within an organizational context, sustaining optimal performance across these layers poses a considerable challenge, often attributable to the constraints of available managerial bandwidth. It becomes imperative, then, to conceive a phased enhancement blueprint for the safety climate. To orchestrate this blueprint with precision, a discerning understanding of the hierarchy of safety climate metrics is essential, which subsequently guides judicious managerial resource allocation. This investigation is anchored in elucidating the hierarchical significance of safety climate metrics through the Analytical Hierarchy Process(AHP). Implementing the AHP framework, both a questionnaire was disseminated and a subsequent analysis undertaken, culminating in the extraction of relative priorities of safety climate determinants. Consequent to this analysis, "workers' safety prioritization and risk aversion" emerged as the foremost dimension, holding a significance weight of 0.1900. Furthermore, within the detailed elements, "unwavering adherence to safety mandates amidst demanding operational constraints" ranked supreme, manifesting a weight of 0.6663. The findings encapsulated in this study are poised to be foundational in sculpting improvements at an institutional level and devising policies, all with the end goal of fostering an exemplar safety climate within construction arenas.

• Journal of Food Hygiene and Safety
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• v.33 no.4
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• pp.248-254
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• 2018

To assess the risk of V. parahaemolyticus infection caused by consumption of raw oysters in Korea, contamination levels during the retail-to-table route of oysters was modeled to predict V. parahaemolyticus growth based on temperature and time. The consumed amount data of the KNHANES and the standard recipe of RDA were applied. A consumption scenario for exposure assessment was developed and combined with a Beta-Poisson dose-response model. The estimated probability of illness from consumption of pathogenic V. parahaemolyticus in raw oysters during three separate months (April, October, and November) was $5.71{\times}10^{-5}$ (within the 5th and 95th percentile ranges of $2.71{\times}10^{-8}$ to $1.03{\times}10^{-4}$). The results of the quantitative microbial-risk assessment indicated that the major factors affecting the probability of illness were the initial contamination level at the retailer, the consumed amount, the prevalence of pathogenic strains [tdh or trh genes], and exposure temperature and time.