• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2013.10a
• /
• pp.270-272
• /
• 2013

플로팅 건축공사의 새로운 공종이나 고위험 작업에 대한 위험성 평가가 미흡하다. 이에 기존 건설업에서 사용하는 위험성 평가를 사례분석하여 플로팅 건축공사의 특수성에 맞는 고려사항을 제시하였다.

• Annual Conference of KIPS
• /
• 2019.05a
• /
• pp.539-541
• /
• 2019

오프라인 소비자의 의사결정은 크게 라이프스타일, 동기, 개성, 학습 등 개인적인 영향요인과 문화, 기후, 가족 등 기타 상황적 요인을 포함하는 환경적 영향요인에 의해 결정된다. 이러한 요인들을 입력 값으로 하는 다양한 딥러닝 모델을 이용한 소비예측 연구들이 진행되고 있다. 딥러닝을 이용한 예측모델을 사용하기 위해서는 먼저 요인들이 의사를 결정하는데 있어 얼마나 상관관계가 있는지 파악하는 작업이 중요하다. 본 논문에서는 이를 위해 다양한 상관관계 분석모델을 이용해 소비 의사결정 요소 중 기후, 문화와 같은 상황적 요인과 소비와의 상관관계를 도출하고, 기후, 문화를 대변하는 미세먼지 데이터와, SNS 버즈량 데이터와 소비데이터를 학습하는 소비예측 LSTM모델을 제안하고자 한다.

• Journal of Korea Port Economic Association
• /
• v.34 no.4
• /
• pp.85-104
• /
• 2018

Globally, more than 90 percent of all international commerce takes place via sea freight. In terms of container cargo volume, Busan Port is the world's sixth largest port, given its geographical conditions. Regarding geographic advantages, a cargo-working operation that met customers' demand using a 24-hour operating delivery system also contributed to the growth of Busan Port as a global hub. However, research and studies on the working conditions for stevedores are lacking, even though the port industry relies heavily on human resources. Therefore, this study identifies the awareness of the working environment by cargo-working employees at Busan Port and their satisfaction level related to their working environment, such as working two shifts in a 24-hour period.

• Therapeutic Science for Rehabilitation
• /
• v.7 no.4
• /
• pp.19-30
• /
• 2018

Objective: The purpose of this study was to suggest predictors of participation restriction in community-dwelling Spinal Cord Injury (SCI) based on environmental, functional, injury-related, psychosocial, and sociodemographic factors. Methods: The participants were 82 community-dwelling SCI adults over the age of 18. They were all included in the American Spinal Injury Association's (ASIA) Levels A, B, and C. This study surveyed participants' participation using the CHART-K-SF, environmental factors using the CHIEF-25 Korean version, and functional factors using the SCIM III. Further, pain and distress were surveyed using Zung's Self-rating Pain and the PAD, self-esteem was assessed using the RSES, and self-efficacy using the GSS. Finally, information concerning injury levels, post-injury period, causes of injury-related factors, and sociodemographic factors such as gender, age, marriage, education level, and residence information were collected. The collected data were analyzed using SPSS Version 21.0 Results: Participants' risk factors were environmental and functional. The Nagelkerke's $R^2$ was.737. The OddsRatio(OR) of environmental factors(referent,0-1) was 40.346. Moreover, the OR of the $1^{st}$ quartile functional factor(referent,4thquartile) was 236. 621, and that of the$2^{nd}$ quartile was 21.174. In addition, the occupational predictors included the "policies" subscales in the CHART-K-SF, "physical/structural" in the CHIEF-25, and "mobility" in the SCIM III. Further, the predictors of "physical independence" were "services/assistance" in CHIEF-25, and "respiration and sphincter management' on the SCIM III. Additionally, "mobility" was predicted by "physical/structural" on the CHIEF-25 and "mobility" on the SCIM III. Conclusions: This study multidimensionally confirmed predictors of participation restriction. Through these facts, we investigated occupational therapists' roles in community setting. Therefore, this study's results will provide useful information for occupational therapy services, for which the goal is SCI participation improvement within the community.

• Proceedings of the Korean Society of Disaster Information Conference
• /
• 2022.10a
• /
• pp.155-157
• /
• 2022

기존의 안전교육 교수방법은 강의 방식으로 전달하고 있어 근로자의 참여를 이끌어내는데 한계점이 있으며, 불안전한 행동에 의한 안전사고를 예방하기 위해서는 스마트 체험식 안전교육으로 패러다임을 전환할 필요성이 있다. [연구배경/목적]:스마트 체험식 안전교육은 건설현장에서 근로자들이 보다 더 빠르게 위험을 인지하고 여기에 맞는 안전작업 이행과 위험발생 시 응급대처 능력 등을 향상시키므로 사전사후 학습전이의 효과성을 검정할 수 있다. 이러한 관점에서 안전사고를 예방하기 위한 본 연구는 안전교육의 체험학습방법과 참여방법, 교육콘텐츠 접근방법을 통하여 근로자의 안전행동 유도와 불안전행동 감소에 미치는 영향검증이 목적이다. [연구방향/범위]:실제 건설현장과 동일하게 작업환경을 구성해 놓은 스마트 체험식 안전교육시설에서 추락체험, 낙하물체험, 장비협착체험, 화재, 감전재해 등의 실제 사고를 체험해 볼 수 있도록 만들어진 체험학습 방법과 가상(VR, AR, 메타버스)공간에서 간접경험 할 수 있는 참여방법을 다룰 것이다. 그리고 안전체험교육 사전사후의 분석을 통하여 안전 학습전이 성과를 분석한다. [연구 분석방법]:연구의 주요 변인으로는 Human-Error, 안전행동요인, 불안전행동요인, 위험감수성, 조직특성, 조직의 안전문화, 조직의 역량, 안전교육특성, 교육콘텐츠 변화가 사전사후 분석을 통하여 현장 작업 시 안전 학습전이의 효과성을 검정하였다.

• Journal of Korea Society of Industrial Information Systems
• /
• v.24 no.1
• /
• pp.45-63
• /
• 2019

The number of domestic construction company is expanding every year while the construction workers' exposure to disaster risk is increasing due to technological advancements and popularity of high-rise buildings. In particular, the industry faces greater fatalities and severe large scale accidents because of construction industry characteristics including influx of foreign workers with different language and culture, large number of aged workers, outsourcing, high place work, heavy machine construction. The construction industry is labor-intensive, which is to be completed under given timeline and consists of unique working environment with a lot of night shifts. In addition, when a fixed construction budget is not secured, there is less investment in safety management resulting in poor risk management at the construction site. Taking account that the construction industry has higher accident risk rate and fatality rate, risky and unique working environment, and various labor pool from foreign to aged workers, preemptive safety management through risk factor identification is a mandatory requirement for the construction industry and site. The study analyzes about 8,500 cases of construction accidents that occurred over the past 10 years and identified risk factor by construction industry sector to secure a systematic insight for risk management. Based on interrelation analysis between accident types, work types, original cause materials and assailing materials, there is correlation between each analysis factor and work industry. Especially for work types, there is great correlation between work tasks and industry type. For reinforced concrete and earthwork are among the most frequent types of accidents, and they are not only high in frequency of accidents, but also have a high risk in categories of occurrence.

• Korean Journal of Environment and Ecology
• /
• v.11 no.3
• /
• pp.316-325
• /
• 1997

The purpose of this study was to understand landscape edstruction and intrusion problems in national parks in Japan. Literature survey focused on the related journals was attempted for classifying landscape problems in period, cause, regional base. In period base, landscape problems in national parks can be classified into four representative time periods(1960~1967, 1968~1975, 1976~1985 and 1990's). Eight categories, such as dam construction, forest practices, visitor impacts, park planning, and others, were also found as the major causes on landscape destruction. In addition, the survey results showed that these problems have been more concentrated in KANTO(FUJI-HAKONE-IZU, NIKKO National Park) and CHUBU region(CHUBUSANKAKU National Park) than other regions in Japan. This seemed to be caused by increased visitor numbers, development of tourist facilities, forest practices and so on.

• Korean Journal of Construction Engineering and Management
• /
• v.11 no.3
• /
• pp.97-104
• /
• 2010

The expressway construction work is being recently diversified even the working environments and the working kinds due to getting large scale, complexity, and high technology. The accidents are increasing according to large scale even in construction equipment and to a rise in high-ground work, thereby being required an effort of reducing accidents. However, it is insufficient in a means of coping with the technically safety management of using specific and scientific method. In order to prevent accident, a specific plan is needed that can apply each in variables to safety management by analyzing the accident types and accident factors with statistical method. Accordingly, this study carried out investigate on accidents for 12 years in the expressway construction work, and aimed to analyze characteristics on the accident type and conversion disaster-victim number according to factors with occurrence of accidents. Thus, the empirical analysis was performed. As a result of research, first, as a result of verifying significant difference with accident type by accident factor, the significant difference was shown between a cause for occurrence of accident and height with occurrence of accident. Second, among factors by period, the time with occurrence of accident was indicated to have significant difference from conversion disaster-victim number. Among factors by work condition, the cause for occurrence of accident, the height with occurrence of accident, and the type with occurrence of accident were indicated to have significant difference from conversion disaster-victim number. What suggested by analyzing characteristics in these factors and variables has important significance as a countermeasure for safety management.

• Journal of the Society of Disaster Information
• /
• v.19 no.1
• /
• pp.216-230
• /
• 2023

Purpose: The purpose is to prevent accidents by predicting disasters through the analysis of near-miss. Method: In this study, a near-miss literature review and data were collected at construction sites, and a questionnaire survey was conducted to use logistic regression analysis and decision tree analysis to classify the possibility of near-miss connection. Result: As a result of analyzing the effects of near-miss types on mental, physical, and safety habits and behaviors, the factor with a high influence on the body is the need for near-miss management, the type of job is electricity·information communication, and health status in order, and the mental factor is the construction scale The influence was high, and the factors with the highest influence on the habit behavior factors were analyzed in the order of experience, number of serious injuries, and occupation in order of illusion, inappropriate work instructions, and body parts. Through decision tree analysis, factors and patterns that affect the possibility of a near-miss being a surprise accident were identified. Conclusion: Construction site officials consider the observation of near-miss and mentally and physically. Specific management of the relevance of physical aspects to near-miss should be implemented, and a work environment in which serious accidents are reduced is expected through personnel allocation, work plans, work procedures and methods, and feedback so that inappropriate work instructions do not lead to near-miss.

• Journal of Navigation and Port Research
• /
• v.32 no.10
• /
• pp.837-844
• /
• 2008

In an automated container terminal, various factors affect the operation of container handling equipment such as quay cranes and AGVs, and thus calculating the exact operation time is nearly infeasible. This uncertainty makes it difficult to dispatch AGVs well. In this paper, we propose a simulation-based AGV dispatching algorithm When dispatching an AGV to an operation, the proposed algorithm conducts multiple stochastic simulation for the succeeding AGV operations for the predetermined period to collect stochastic samples of the result of the dispatching. In the stochastic simulation, the uncertainty of crane operations is represented as a simple probability distribution and the operation time of a crane is determined according to this. A dispatching option is evaluated by the total delay time of quay cranes which is estimated by averaging the quay crane delay of each simulation In order to collect a sufficient number of samples that guarantee the credibility of the evaluation, we devised a high-speed simulator that simulates AGV operation The effectiveness of the proposed algorithm is validated by simulation experiments.