• The Journal of Sustainable Design and Educational Environment Research
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• v.21 no.4
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• pp.13-20
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• 2022

The proportion of old buildings over 40 years among all school facilities is about 20%. The degree of deterioration is also increasing, resulting in safety risks that reduce the residential safety of faculty and students or a poor environment that does not meet the new curriculum and educational conditions is rapidly increasing the need for repair and renovation of school facilities. In order to fully fulfill its role as a space for implementing education, school architecture requires an understanding of the national curriculum and a clear criterion for determining the relationship between education and space. In order to set the evaluation criteria for deteriorated school architecture, this study presents judgment data centered on quantification and accuracy so that relevant personnel can utilize scientific analysis, research and development of detailed and systematic comprehensive evaluation indicators, and quantified evaluation methods.

• International conference on construction engineering and project management
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• 2024.07a
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• pp.558-565
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• 2024

This paper presents the development of an optimization framework for road slope design. Recognizing the limitations of current manual stability analysis methods, which are time-consuming, are error-prone, and suffer from data mismatches, this study proposes a systematic approach to improve efficiency, reduce costs, and ensure the safety of infrastructure projects. The framework addresses the subjectivity inherent in engineers' decision-making process by formalizing decision variables, constraints, and objective functions to minimize costs while ensuring safety and environmental considerations. The necessity of this framework is embodied by the review of existing literature, which reveals a trend toward specialization within sub-disciplines of road design; however, a gap remains in addressing the complexities of road slope design through an integrated optimization approach. A genetic algorithm (GA) is employed as a fundamental optimization tool due to its well-established mechanisms of selection, crossover, and mutation, which are suitable for evolving road slope designs toward optimal solutions. An automated batch analysis process supports the GA, demonstrating the potential of the proposed framework. Although the framework focuses on the design optimization of single cross-section road slopes, the implications extend to broader applications in civil engineering practices. Future research directions include refining the GA, expanding the decision variables, and empirically validating the framework in real-world scenarios. Ultimately, this research lays the groundwork for more comprehensive optimization models that could consider multiple cross-sections and contribute to safer and more cost-effective road slope designs.

• Journal of the Korean Institute of Landscape Architecture
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• v.46 no.1
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• pp.115-126
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• 2018

A new urban paradigm that moves from a vehicle-centric to pedestrian-centric culture should be considered to improve the quality of the pedestrian environments for women, children, senior citizens, and disabled persons as well as to promote community unification by providing general movement rights to everyone. This study was implemented to provide decent alternatives to improve street spaces. The street spaces around the Commercial and Residential Area No.1 located in the Administrative-Centered City, Sejong Special Autonomic City, were selected to analyze and define the status of the walkways and the street spaces. Satellite imagery and numerical maps were used to collect geographic data. Practical and actual surveys for the selected sites were performed to analyze the street status and the pedestrian status. Based on the all collected data, analysis results, and literature reviews, the questionnaire was made, and 315 inquiries qualified for analysis. The physical status of all four study sites was the highest level, Grade A, and green open spaces were relatively sufficient. As a result, the factors obtained from the factor analysis have an impact on the satisfaction of the pedestrian streets in the commercial area. The factors are as followed Design > Convenience > Roadside trees and rest areas > Safety > Safety protective facilities > Transportation and information facilities > Continuity > Basic state of road surfaces > Comfortability, and in the residential area: Transportation and information facilities > Basic state of road surfaces > Comfort > Convenience > Continuity > Design > Illumination and crime prevention facilities > Safety > Roadside trees and rest areas.

• Safety and Health at Work
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• v.12 no.3
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• pp.346-350
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• 2021

Background: The high sensitivity of individuals toward safety information in production activities, that is, attentional bias toward safety (ABS), can positively predict safe behaviors. It has become a hot topic in current organizational safety behavior research. However, there is no literature on its modification method. Methods: Based on the modified dot-probe task, we designed a modification training method of ABS. The training method required subjects to respond to the location of detection points that presented after safety stimulus and neutral stimulus pictures. Subjects' attentional bias values of safety and neutral pictures were measured during the experiment. Twenty-one students were selected and divided into a control group and training group to gain comparable results. Results: A novel training method was developed in this study to promote the efficacy of safety stimulus by activating ABS of the subjects. Moreover, repeated trainings and preacquired relative knowledge can enhance this effect. Conclusion: This study develops an experimental approach to evaluate the effectiveness of safety education and safety training, and also provides a new research idea for accident prevention.

• International conference on construction engineering and project management
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• 2011.02a
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• pp.249-255
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• 2011

Poor safety management in construction management may adversely affect cost, schedule and quality of a project. Heavy fines upon safety offence becomes a burden to the budget; losing working hours as a result of safety incident impacts on the schedule, and compromising quality is always an indirect consequence when workers perform duties in an unsafe site environment. Therefore, promotion of safety management becomes the top priority in any construction manager's agenda. Working safely will benefit construction project and lead to a "real" success. This paper is a case study, based upon "Geller's 10 principles for achieving a total safety culture", reviewing how a Hong Kong leading construction company fosters the safety culture and possesses a pleasant safety record over years. Its safety performance is not only well ahead the local industry, but also ranges top within the Asia Pacific region and comparable to those mature Western industries. The review concluded that safety culture is one of the major components in construction management and collaboration is the essence to realize this positive culture within an organization. Safety management is not merely a "top down" approach, but requires the positive "bottom up" actions from the other end. The successful story of this company can demonstrate the contribution of safety management in construction management.

• Journal of Ocean Engineering and Technology
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• v.26 no.1
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• pp.60-63
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• 2012

The accident risks in the marine environment are increasing because of the tendency to build faster and larger ships. To secure ship safety, risk-based ship design (RBSD) was recently suggested based on a formal safety assessment (FSA). In the process of RBSD, a ship designer decides which risk reduction option is most cost-effective in the design stage using a cost-benefit analysis (CBA). There are three dimensions of risk in this CBA: fatality, environment, and asset. In this paper, we present an approach to estimate the environmental costs based on the size of an oil tanker involved in an accident using a neural network. An appropriate neural network model is suggested for the estimation,and the neural network is trained using IOPCF data. Finally,the learned neural network is compared with the cost regression equation by IMO MEPC 62/WP.13 (2011).

• Journal of the Korean Society of Marine Environment & Safety
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• v.20 no.2
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• pp.228-233
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• 2014

In this paper, the motion performance in waves for the training ship Kaya of Pukyong National University is obtained by using a computer program based on Strip method. To guarantee the pleasant seafaring in ocean, the vertical acceleration of ship motion is calculated according to the location of the ship. The results of calculation by changes of ship speed are compared with the guideline of MSI(Motion Sickness Incidence). The degree of motion sickness is shown and discussed through the comparison between calculated vertical acceleration spectrum and MSI guideline. The computational results of MSI were as follow; when ship speed increased in the order of 5 knots, 10 knots, 12 knots and encounter angle became the bow quartering sea of $120^{\circ}$ compared to $180^{\circ}$ and $150^{\circ}$, the vertical acceleration values grew higher.

• Journal of the Korean Institute of Rural Architecture
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• v.19 no.4
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• pp.1-8
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• 2017

The purpose of this study is to deduce dwelling selection criterion and to consider change of values and consciousness of dwelling on people who return to farming & going to village. For that, questionnaire of evaluation of housing choice is conducted by people who return to farming & going to village in Jellanam-do by the AHP. The results are as follows. First, four factors as the primary hierarchy structure and 12 factors as the secondary hierarchy structure of dwelling selection criterion are deduced. The primary hierarchy are "education environment", "economic & Convenience in life", "residence safety and image", and "economic value". Second, weight value deduced from the primary hierarchy structure is showed that "economic & convenience in life(0.345)" is the highest and next is "education environment(0.262)". "Residence safety and image(0.237)", and e "economic value(0.157)" is relatively low(C.I. 0.213). Third, for the secondary hierarchy structure, the case of life convenience is showed that economic condition(0.403) is the highest, the case of educational condition is showed that education facilities(0.479), the case of residence safety and image is showed that residence area(0.490) is the highest, and the case of economic importance is showed that financial technology(0.470) is the highest.

• Journal of The Korea Institute of Healthcare Architecture
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• v.26 no.1
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• pp.39-49
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• 2020

Purpose : The purpose of this study is to investigate the current status of operation and ward environment of psychiatry in regional public hospitals. Methods: The method of this study utilized legal system and statistical data analysis, and drawing analysis of psychiatric ward. Results: In addition to treatment, psychiatric wards require additional space for special purposes such as psychological stability, social rehabilitation, and psychotherapy and so on. The room should improve the quality of the environment, taking into account the patient's psychological state, privacy, safety, amenity and hygiene. In addition, various types of room are needed to ensure sufficient area per bed. Implications: Psychiatric wards should be provided with a preference for psychological consideration of patients. The result of this study would be useful as a reference to plan psychiatric wards.

• International conference on construction engineering and project management
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• 2024.07a
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• pp.471-478
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• 2024

Effective physical fatigue monitoring is crucial for ensuring the health, safety, and productivity of construction workers, given the physically demanding nature of their work and the challenging environment in which they operate. In recent years, wearable sensors have shown growing potential for physical fatigue monitoring among construction workers. However, such fatigue assessment methods exhibit a significant gap as they often overlook the impact of inter-individual variability, such as differences in height, weight, and body mass index, on physiological signals that indicate physical fatigue. Therefore, this study aimed to investigate the role of personal factors in altering physiological responses, thereby improving the reliability and accuracy of fatigue monitoring using wearable physiological sensors. To explore the impact of these inter-individual factors, we experimentally analyzed the relationship between personal characteristics, physiological signals, and physical fatigue. Our findings reveal that although the inter-individual factors may not be directly correlated with fatigue levels, they significantly affect fatigue through their influence on physiological signals. Incorporation of these factors into a random forest predictive model significantly enhanced its predictive performance. Furthermore, integrating personal features with other variables to create new features in the physical fatigue prediction model notably improves its accuracy, highlighting the potential for developing personalized fatigue detection systems.