• Journal of the Korean Professional Engineers Association
• /
• v.42 no.5
• /
• pp.37-40
• /
• 2009

Engineered nanoparticles are materials purposefully produced with at least one dimension between 1 and 100 nanometers. Nanotechnology has the potential to dramatically improve the effectiveness of a number of existing consumer and industrial products and could have a substantial impact on the development of new products in all sectors. However, nanoparticles is little known about what effect these properties may have on human health. This materials provide an overview of what is known about the potential hazards of engineered nanoparticles and measures that can be taken to minimize workplace exposures.

• Proceedings of the Korean Society for Agricultural Machinery Conference
• /
• 2017.04a
• /
• pp.136-136
• /
• 2017

By-products has been considered lately in Total Mixed Ration (TMR) as an alternative to livestock feed around the world. This is due to the high cost of using forage as feed, less expense in exploring by-products of agriculture origin and environmental concerns with their disposal. However, by-products usually contain contaminants and the production process requires fermentation using a storage and fermentation tank. Animal feed is the start point of the food safety chain in the 'farm-to-fork' model. This necessitated a study to model a protocol that will culminate to safe feed production. Hazard analysis and critical control points (HACCP), a systematic preventive approach to food safety from biological, chemical and physical hazards in production processes that can cause the finished product to be unsafe was explored. Implementation of this model provides a mechanism that ensures product safety is continuously achieved. The entire production process of By-products feed production was evaluated using HACCP wizard software. This includes the plant layout, technical standards, storage and fermentation tank cleansing method, staff assignment, safety control method, and distribution. The potential biological, chemical, and physical hazards that may exist in every step of the production process were identified, and then critical control points (CCPs) were selected. This will ensure the safety of products made from livestock that consumes by-product feed. These includes cheese, milk, beef, etc.

• Korean Journal of Construction Engineering and Management
• /
• v.24 no.6
• /
• pp.91-98
• /
• 2023

Construction accidents result from a combination of factors, including both the actions of workers and the safety conditions on site. Despite advancements in enhancing construction site safety, there remains a gap in comprehending the cognitive processes underlying workers' unsafe behavior. This paper investigates and validates a qualitative model that delves into the potential causes of workers' unsafe actions by examining their cognitive processes, employing a system dynamics approach. By analyzing the interplay of various loops within this model, it offers both short- and long-term safety strategies for managers intent on minimizing unsafe behavior among workers. Specifically, safety managers should prioritize increasing workers' awareness of hazards through education and fostering a positive safety mindset. Moreover, they should task frontline supervisors with directly addressing and rectifying instances of unsafe behavior by workers. Lastly, construction safety managers ought to formulate safety strategies that take into account the cognitive states of workers to mitigate any adverse consequences of biased safety management. The outcomes of this research contribute to our comprehension of methods to enhance hazard perception among workers, curtail unsafe actions, and ultimately reduce construction accidents from a cognitive standpoint.

• International conference on construction engineering and project management
• /
• 2022.06a
• /
• pp.1202-1208
• /
• 2022

Techniques based on computer vision are becoming increasingly important in construction safety monitoring. Using AI algorithms can automatically identify conceivable hazards and give feedback to stakeholders. However, the construction site remains various potential hazard situations during the project. Due to the site complexity, many visual devices simultaneously participate in the monitoring process. Therefore, it challenges developing and operating corresponding AI detection algorithms. Safety information resulting from computer vision needs to organize before delivering it to safety managers. This study proposes a framework for computer vision-aided construction safety monitoring using collaborative 4D BIM information to address this issue, called CSM4D. The suggested framework consists of two-module: (1) collaborative BIM information extraction module (CBIE) extracts the spatial-temporal information and potential hazard scenario of a specific activity; through that, Computer Vision-aid Safety Monitoring Module (CVSM) can apply accurate algorithms at the right workplace during the project. The proposed framework is expected to aid safety monitoring using computer vision and 4D BIM.

• Proceedings of the KIEE Conference
• /
• 2007.07a
• /
• pp.2076-2077
• /
• 2007

To find out abnormal electrical conditions, periodic inspections for residential houses are being performed every 3 years. According to data from KESCO, the number of uninspected houses is rising as the number of empty houses during normal working hours is rising by dramatic increase in the number of nuclear families and double income families. As a result, potential hazards are increased by them. In this paper, a model of a national electric safety network is presented. In the model, functions for ubiquitous environments were partially realized.

• Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
• /
• v.17 no.1
• /
• pp.95-106
• /
• 2019

The decommissioning of nuclear power plants should be prepared by quantitative and qualitative risk assessment. Radiological and non-radiological hazards arising during decommissioning activities must be assessed to ensure the safety of decommissioning workers and the public. Decommissioning experiences by U.S. operators have mainly focused on deterministic risk assessment, which is standardized by the U.S. Nuclear Regulatory commission (NRC) and focuses only on the consequences of risk. However, the International Atomic Energy Agency (IAEA) has suggested an alternative to the deterministic approach, called the risk matrix technique. The risk matrix technique considers both the consequence and likelihood of risk. In this study, decommissioning stages, processes, and activities are organized under a work breakdown structure. Potential accidents in the decommissioning process of NPPs are analyzed using the composite risk matrix to assess both radiological and non-radiological hazards. The levels of risk for all potential accidents considered by U.S. NPP operators who have performed decommissioning were estimated based on their consequences and likelihood of events.

• Journal of the Korean Society for Aviation and Aeronautics
• /
• v.29 no.4
• /
• pp.160-165
• /
• 2021

In order to identify and analyze potential aviation safety hazards, analysis of aviation safety report data must be preceded. Therefore, in consideration of the provisions of the Aviation Safety Act and the recommendations of ICAO Doc 9859 SMM Edition 4th, personal information in the reporting data and sensitive information of the reporter, etc. It identifies the scope of de-identification targets and suggests a method for applying de-identification processing technology to personal and sensitive information including unstructured text data.

• Journal of the Korean Society of Safety
• /
• v.24 no.2
• /
• pp.42-47
• /
• 2009

The flash point and the AIT(auto-ignition temperature) are the most important combustible properties used to determine the potential for the fire and explosion hazards of flammable material. In order to know the accuracy of data in MSDS(Material Safety Data Sheet), the flash point of n-acids were measured by using Pensky-Martens closed cup tester(ASTM D93), Setaflash closed cup tester(ASTM D3278), Tag open cup tester(ASTM D1310) and Cleveland open cup tester(ASTM D92). Also, the AIT of n-acids were measured by using ASTM E659-78 tester. The measured the flash points and the AIT were compared with literatures and MSDS in KOSHA. The measured the flash points and the AIT were different from those in literatures and MSDS. Therefore, This paper shows that it is needed to investigate the MSDS compatibility of n-acids for the fire safety objectives.

• Journal of the Korean Society of Safety
• /
• v.21 no.1 s.73
• /
• pp.72-78
• /
• 2006

In many chemical plants the change or modification is carried out without proper technical review and hazard analysis, and also without adequate technical staff and procedures for comprehensive monitoring of potential hazards resulting from the change. Such changes sometimes affect to the process safety badly if it is not managed properly. Therefore, in order to prevent major industrial accidents caused by change or modification, and also in order to apply Management of Change procedure easily in the field and minimize economic burden of company caused by plant changes, K-MOC(KOSHA-Management of Change) software has been developed and provided to the chemical industry.

• International conference on construction engineering and project management
• /
• 2015.10a
• /
• pp.248-251
• /
• 2015

High injury and fatality rates remain a serious problem in the construction industry. Many construction injuries and fatalities can be prevented if workers can recognize potential hazards and take actions in time. Many efforts have been devoted in improving workers' ability of hazard recognition through various safety training and education methods. However, a reliable approach for evaluating this ability is missing. Previous studies in the field of human behavior and phycology indicate that the visual focus of attention (VFOA) is a good indicator of worker's actual focus. Towards this direction, this study introduces an automated approach for estimating the VFOA of equipment operators using a head orientation-based VFOA estimation method. The proposed method is validated in a virtual reality scenario using an immersive head mounted display. Results show that the proposed method can effectively estimate the VFOA of test subjects in different test scenarios. The findings in this study broaden the knowledge of detecting the visual focus and distraction of construction workers, and envision the future work in improving work's ability of hazard recognition.