This study tried to analyze the keywords of the papers published in the Korea Safety Management Science by using the social network analysis. In order to extract the keywords, information on journal articles published from 2018 to 2021 was extracted from the SCIENCE ON. Among the keywords extracted from a total of 129 papers, the keywords with similar meanings were standardized. The keywords used in the same paper were visualized by connecting them through a network. Four centrality indicators of the social network analysis were used to analyze the effect of the keyword. Safety, Safety management, Apartment, Fire hose, SMEs, Virtual reality, Machine learning, Waterproof time, R&D capability, and Job crafting were selected as the keywords analyzed with high influence in the four centrality indicators.

국제해상충돌예방규칙은 선박이 다른 선박이나 해저 등 어떠한 물체에도 충돌하지 아니하도록 제정된 국제협약이다. 선박의 충돌예방을 위한 규칙은 19세기 중반부터 성문화되고 다듬어져 현재에 이르고 있다. 따라서 COLREGs에서 사용된 용어와 문장 또한 뚜렷 한 학문적, 법률적 의미를 갖고 있다. 그러나 COLREGs를 국내법으로 반영한 해사안전법에서는 ‘충돌의 위험성’과 ‘충돌의 위험’을 구분하 지 않은 채 혼용하고 있다. 이에 ‘위험성’의 정의에 대하여 국제연합 산하의 권위 있는 국제기구인 국제해사기구 및 널리 알려진 비정부 간 기구인 국제표준화기구에서 정의한 내용을 살펴봄으로써 ‘위험’과 ‘위험성’의 차이를 분석하였으며, COLREGs에서 관련 문장을 살펴봄 으로써 이를 구분해야할 근거를 제시하였다. 안전한 항해라는 측면에서 볼 때 향후 해사안전법에 ‘위험’과 ‘위험성’의 구분이 명확해 짐으 로써 이를 준수해야 하는 해기사들의 해상충돌예방을 위한 노력이 한층 체계화되기를 기대하였다.

With the implementation of the “Critical Disaster Punishment Act” in 2022, the safety and health management system within the organization is being established and awareness of the importance of safety culture is spreading. Measuring the level of safety culture in an organization can grasp the perception and attitude of members about safety. You can also identify the safety-related problems and improvements of the organization. In this study, prior studies on the safety culture level scale were considered, focusing on domestic literature studied from 2001 to 2021. Domestic literature was analyzed by research period, research field, author, core terms, and constituent factors of scale. The implications of the research trend analysis results of the safety culture level scale were derived.

We analyzed work safety risk factors, which are likely to occur during fishing in gillnet fishing vessels using the written verdict of the Korea Maritime Safety Tribunal from 2016 to 2020, and considered work safety management. Of the total of 37 fatal accidents, three cases in the East Sea, six cases in the South Sea, and 28 cases in the West Sea were very frequent. The accident rate per vessel by sea area (%) was 0.08% in East Sea, 0.12% in South Sea, and 0.40% in the West Sea. Based on the East Sea, the number of fatal accidents was 1.6 times higher in the South Sea and 5.4 times higher in the West Sea. Six cases (16.2%) occurred during departure and preparation for fishing in the fishing process, and all other 31 cases (83.8%) occurred during fishing operation. In the order of accident types, 21 cases (56.8%) of being struck by object, eight cases (21.6%) of contact with machinery and six cases (16.2%) of falls from height were found to be fatal accidents in gillnet fishery. Human factors, such as fishers’ carelessness and negligent safety management by captain accounted for 27 cases (73.0%) of the main cause, and 35 cases (94.6%) of the secondary cause. In addition to human factors such as fisher’s carelessness and negligent safety management by captain, mechanical factors, environmental factors and management factors must be improved together to reduce human casualties. These results are expected to be utilized as basic data for reducing safety accidents during the work of fishers.

Tuna purse seine fishery (TPF) constitute more than 60% of distant water fishery production in Korea based on a statistic of 2018, and 28 ships from four different companies were under operation at the western and central Pacific Ocean. On this research, common risk factors during TPF were investigated via enumeration of five years Korean fisherman’s insurance payment statement, followed by some counterplans to diminish the accident rate. The accident rate of TPF on the Pacific Ocean peaked by 43.0% in 2014 and constantly decreased to 23.0% until 2018, presenting an average of 33.6%. Meanwhile, the accident rate on the Indian Ocean reached the highest point 55.1% in 2014 and declined to 11.6% in 2016, having an average of 24.7%. The average accident rate of the Indian Ocean scored 8.9% lower than the rate of the Pacific Ocean, but no statistic significance was observed. Depending on the process of operation, ‘casting or hauling of net’ was the most frequent part that people received an injury (40.4%). When the accidents were classified by their types, ‘falling down’ was the most recurrent cause of the injuries (28.5%). At the point of severity, the worst injuries were induced by crush hazard. Considering aforementioned accident frequency and severity, all the factors on the accident type list were divided into three different groups including high risk, moderate risk, and common risk. This study is expected to contribute to the reduction of occupational accidents during the work of fishermen and establishment of a safety management system for distance water fishing vessels.

The detection of the genome-based antibiotic resistance gene is an essential analysis process for the purpose of verifying the safety of probiotic strains, including lactic acid bacteria. In this study, 4 analysis platforms (AMRFinderPlus, staramr, rgi, ABRicate) were used for cross-comparison of 782 genomes corresponding to 19 kinds of probiotic species notified as functional foods. As a result of the analysis, the relatively fewest number of antibiotic resistance genes were detected in strains belonging to the order Lactobacillales, and antibiotic resistance genes were detected in 322 genomes used in the case of 2 types of Enterococcus genus. In addition, the presence and type of antibiotic resistance gene detection showed a lot of difference even for the same genome sequence depending on the database and analysis algorithm used by the analysis platform. These results can be confused in evaluating the potential for transmission of antibiotic resistance genes inherent in specific lactic acid bacteria and predicting potential risks that may occur in the future. Accordingly, it is judged that the antibiotic resistance gene-related analysis criteria need to be established more clearly and specifically in the safety evaluation of probiotic bacteria.