In this paper, in order to study the relationship between the safety culture of highway management agencies and disaster reduction activities (BCMS), a measurement tool was identified through previous research on safety culture, and the validity of the measurement tool was confirmed through exploratory factor analysis. I want to check. The subjects of the study were workers belonging to disaster reduction activity management system certification organizations among highway management organizations. The highway management agencies are the Korea Expressway Corporation, which manages the functional continuity of national highways nationwide, and 8 of the 21 private road agencies that manage the functional continuity of the highways. The safety culture measurement tool is an indicator that measures safety culture factors, and is reorganized by the researcher based on survey items from previous studies, with management/manager safety values and attitudes, safety communication, safety education and training, and safety regulations/ management system as subfactors. A total of 24 questions were comprised of the survey tool. As a result of the study, the result of exploratory factor analysis was that the safety culture scale was extracted into four factors based on theoretical grounds, and the total cumulative variance was 80.360%. When checking the questions for each factor, it was found that all the questions loaded on the factor that was originally intended to be measured. Factor 1 is management, factor 2 is safety, and factor 3 is communication., Factor 4 was named education. Number of questions: 4 management questions, 3 safety questions, communication It consisted of 4 questions and 2 education questions.

Recently, ESG management has become a global trend, receiving increasing attention from stakeholders such as consumers, investors, and governments, as regulations related to ESG disclosure and supply chain due diligence have been strengthened since the United Nations Principles of Responsible Investment (UN PRI) was announced in 2006. ESG is an acronym for the environment (E), social (S), and governance (G) and is accepted as a key factor for the continuous survival and growth of a company. As a result, there are over 600 ESG management evaluation indicators operated domestically and internationally, and numerous global initiatives have emerged. Korea’s Ministry of Trade, Industry and Energy also announced “K-ESG Guidelines (December 2011)” and “K-ESG Guidelines for Supply Chain Response (December 22)” to help SMEs introduce ESG management and respond to supply chain due diligence. However, small-scale manufacturing companies with poor financial, human resources, and technological capabilities face significant challenges in introducing ESG management. Accordingly, this study aims to examine the current status of ESG management adoption in small-scale manufacturing companies with less than 150 people in Korea and propose activation plan ESG management based on the diagnostic requirements of the “Supply Chain Response K-ESG Guidelines.”

This paper presents data capturing Korean university students’ familiarity with English online acronyms, examines factors that may predict this familiarity, and presents an explicit instruction intervention involving vocabulary knowledge of online acronyms. The Vocabulary Size Test (VST) measured stude nts’ vocabulary size, while a self-report survey measured social media engagement and the percentage of engagement that occurred in English. The Vocabulary Knowledge Scale (VKS) measured initial familiarity and gains in vocabulary knowledge. The results suggest that English learners in Korean universities are not well-acquainted with English online acronyms, but that receptive vocabulary size and English-language social media engagement may offer some predictive power regarding their level of familiarity. An explicit treatment of acronym expansions and their uses resulted in a significant and robust gain in vocabulary knowledge, suggesting that explicit instruction of online acronyms may improve digital literacy and comprehension of computer-mediated communication (CMC) more effectively than simply relying on incidental gains through repeat exposures over time.

A Smart factories are systems that enable quick response to customer demands, reduce defect rates, and maximize productivity. They have evolved from manual labor-intensive processes to automation and now to cyber-physical systems with the help of information and communication technology. However, many small and medium-sized enterprises (SMEs) are still unable to implement even the initial stages of smart factories due to various environmental and economic constraints. Additionally, there is a lack of awareness and understanding of the concept of smart factories. To address this issue, the Cooperationbased Smart Factory Construction Support Project was launched. This project is a differentiated support project that provides customized programs based on the size and level of the company. Research has been conducted to analyze the impact of this project on participating and non-participating companies. The study aims to determine the effectiveness of the support policy and suggest efficient measures for improvement. Furthermore, the research aims to provide direction for future support projects to enhance the manufacturing competitiveness of SMEs. Ultimately, the goal is to improve the overall manufacturing industry and drive innovation.

생물다양성협약 당사국총회 결의에 따르면, 환경영향평가란 제안된 계획 또 는 개발이 환경에 미칠 것 같은 영향을 이익적 측면과 불리한 측면에서 사회경 제적, 문화적 및 인간의 건강에 미치는 영향과 연계하여 평가하는 과정을 의미한다. 해양에서의 환경영향평가 제도는 다수의 국가에 의해 국내법적으로 수용 하여 수행되어왔으며, 국제적으로도 많은 환경협약과 하위 지침들로부터 의무 화하여 수행되고 있다. 국제법상 국가관할권 이원지역에 대한 환경영향평가의 수행의무는 분명히 존재한다. 최근 채택된 BBNJ협정은 국가관할권 이원지역에 대한 종합적인 환경 및 해양생물다양성 보호를 목적으로 하는데, 그중 제4부는 환경영향평가의 발동요건, 절차, 평가의 내용, 협의과정, 의사결정 등 환경영향 평가 수행 전반에 대한 요건을 서술하고 있다. 본 연구에서는 다수의 환경영향 평가와 관련된 기존제도들 중 국가관할권 이원지역만을 협약의 적용지역으로 하고, 명확히 환경영향평가의 의무를 부과하고 있는 남극조약체제 및 국제해저 기구 주관하의 심해저 광업규칙상 환경영향평가제도와 BBNJ협정상 환경영향 평가제도의 비교를 통해 환경보호의 대응기조가 어떻게 유사하게 반영되었는 지 또는 차이점이 있는지 살펴보고 그 실효성에 대하여 논한다. 결론적으로 1) 기존제도와 달리 BBNJ협정은 call-in mechanism의 적용을 통 해 환경영향평가서에 대한 최종 의사결정권을 당사국에게 부여하고 있다. 2) 국가관할권 내측 지역으로부터의 월경 오염에 대한 환경영향평가 절차를 포함 함으로써 월경오염에 대한 준수의 효과성을 보장하고자 하였다. 3) 대중통고 및 협의, 활동의 영향에 대한 검토 조항을 통해 환경영향평가의 절차에서 넓은 범위의 이해관계자를 포함하고, 기존제도와 달리 국가관할권 이원지역에서의 활동으로부터 야기된 월경오염으로 영향을 받을 수 있는 연안국을 명시하여 환 경영향평가 절차에서 역할을 부여하고 있다. 4) 기존제도상 환경영향평가시 고 려되던 누적영향 및 잔존영향에 더하여 전략환경평가라는 현대적 보전기법을 규정하고 있다. 남극조약체제 및 국제해저기구 주관하의 심해저 광업규칙상 환 경영향평가제도 역시 과거 작성되었던 규칙에 대비하여 비교적 최근의 규칙 및 현재 작성중인 문서에서 대중통고 절차 신설, 확장된 이해관계자의 참여 근거 규정 마련 등에 따라 환경보호를 위한 국제사회의 강화된 기조에 대응하고 있 음을 살펴볼 수 있었다. 향후 당사국 총회를 통해 환경영향평가의 세부 지침이 보완될 것임에 따라, 기존의 관련 제도상 환경영향평가 절차 및 내용에 대한 정확한 숙지를 기반으로 하여 대응해 나가야 할 것이다. 또한 관련 전문기관을 지정하고 과학 전문가 양성에 집중해야 할 것이다.

Lee, En Hye, & Lee, Chee Hye. (2024). “Phonological Aspects of American and British Englishes Embedded in Korean English: A Perspective of Linguistic Realities”. The Sociolinguistic Journal of Korea, 32(1), 43-74. This paper explores the rationale behind the shift from Quirk’s deficit linguistics to Kachru’s liberation linguistics in English widely used in Korea. Despite the Korean government’s efforts to enhance communicative competence aligned with Inner Circle-oriented American Standard English, the study questions the perception of Korean English being solely dominated by American English from sociolinguistic perspectives. To delve into both psychological and empirical perspectives on English in Korea, a questionnaire survey involving 100 Korean college students is employed. The focus is on assessing the extent of influence from both American English and British English on Korean English. Additionally, the study examines how linguistic realities, disregarding sociolinguistic or functional aspects, contribute to the current state of Korean English. The analysis of survey data reveals that Korean linguistics, especially phonology, plays a role in shaping the dynamics of Korean English, supporting Kachru’s liberation linguistics. This contributes to the shift from the stage of aspiring to be more native-like American English to the stage of World Englishes, establishing itself as a variant of English in its own right.

Korea is facing a significant problem with historically low fertility rates, which is becoming a major social issue affecting the economy, labor force, and national security. This study analyzes the factors contributing to the regional gap in fertility rates and derives policy implications. The government and local authorities are implementing a range of policies to address the issue of low fertility. To establish an effective strategy, it is essential to identify the primary factors that contribute to regional disparities. This study identifies these factors and explores policy implications through machine learning and explainable artificial intelligence. The study also examines the influence of media and public opinion on childbirth in Korea by incorporating news and online community sentiment, as well as sentiment fear indices, as independent variables. To establish the relationship between regional fertility rates and factors, the study employs four machine learning models: multiple linear regression, XGBoost, Random Forest, and Support Vector Regression. Support Vector Regression, XGBoost, and Random Forest significantly outperform linear regression, highlighting the importance of machine learning models in explaining non-linear relationships with numerous variables. A factor analysis using SHAP is then conducted. The unemployment rate, Regional Gross Domestic Product per Capita, Women's Participation in Economic Activities, Number of Crimes Committed, Average Age of First Marriage, and Private Education Expenses significantly impact regional fertility rates. However, the degree of impact of the factors affecting fertility may vary by region, suggesting the need for policies tailored to the characteristics of each region, not just an overall ranking of factors.

In order to prevent accidents via defective ammunition, this paper analyzes recent research on ammunition life prediction methodology. This workanalyzes current shelf-life prediction approaches by comparing the pros and cons of physical modeling, accelerated testing, and statistical analysis-based prediction techniques. Physical modeling-based prediction demonstrates its usefulness in understanding the physical properties and interactions of ammunition. Accelerated testing-based prediction is useful in quickly verifying the reliability and safety of ammunition. Additionally, statistical analysis-based prediction is emphasized for its ability to make decisions based on data. This paper aims to contribute to the early detection of defective ammunition by analyzing ammunition life prediction methodology hereby reducing defective ammunition accidents. In order to prepare not only Korean domestic war situation but also the international affairs from Eastern Europe and Mid East countries, it is very important to enhance the stability of organizations using ammunition and reduce costs of potential accidents.

In the post-COVID-19, the food industry is rapidly reshaping its market structure toward online distribution. Rapid delivery system driven by large distribution platforms has ushered in an era of online distribution of fresh seafood that was previously limited. This study surveyed 1,000 consumers nationwide to determine their online seafood purchasing behaviors. The research methodology used factor analysis of consumer lifestyle and Heckman’s ordered probit sample-selection model. The main results of the analysis are as follows. First, quality, freshness, selling price, product reviews from other buyers, and convenience are particularly important considerations when consumers purchase seafood from online shopping. Second, online retailers and the government must prepare measures to expand seafood consumption by considering household characteristics and consumer lifestyles. Third, it was analyzed that consumers trust the quality and safety of seafood distributed online platforms. It is not possible to provide purchase incentives to consumers who consider value consumption important, so improvement measures are needed. The results of this study are expected to provide implications on consumer preferences to online platforms, seafood companies, and producers, and can be used to establish future marketing strategies.

본 연구는 급변하는 디지털 환경 하에서 개인의 정보추구 행동에 영향 을 미치는 변인들을 확인하는 것이 목적이었다. 이를 위해 디지털 리터 러시와 미디어 교육 경험을 독립변인으로 하여 각 변인의 하위 구성요소 가 정보추구 행동(검색과 공유)에 어떠한 영향을 미치는지 조사하였다. 대학생 총 226명을 대상으로 온라인 설문조사를 실시한 결과, 디지털 리 터러시의 구성요소인 정서와 참여, 비판적 읽기는 검색행동과 공유행동 에 정적(+) 영향력을 보여주었으나, 가치는 공유행동에 부(-)적 영향을 미치고 있음을 알 수 있었다. 미디어 교육 경험은 학교와 가정의 미디어 교육 경험이 모두 정보추구 행동(검색과 공유)에 정(+)적 영향을 보여주 고 있었다. 이러한 연구결과는 추후 적극적인 정보추구 행동을 위해 디 지털 리터러시의 정서와 참여, 비판적 읽기를 향상시킬 수 있는 학교와 가정의 미디어 교육에 단초를 제공한다.

In this paper, as there are many cases of fires occurring due to the failure or inoperability of the thermostat of electronic products, the purpose is to test and analyze the risks and probabilities through fire cases and reproduction experiments, and suggest countermeasures. Among electronic products, water purifiers are composed of a refrigerant system with a compressor to make cold water, a heating device to make hot water, and an electric device used as an energy source. Due to the nature of the water purifier manufacturing, these devices are subject to a lot of moisture and dust. etc. exist in large quantities and use electrical energy, so there is a possibility of fire due to short circuit in the wire, electrical abnormal overheating (tracking phenomenon) in the thermostat, electronic board, starting relay, etc., and overheating of the heating device (Band Heater). there is. Therefore, in order to prevent fires from these devices, a system to remove foreign substances inside the water purifier is necessary, the use of heat-resistant (fire-resistant) wires for electrical devices is essential, and the use of non-combustible materials (semi-combustible materials) for each part is necessary to prevent fire. The risk must be eliminated through prevention and combustion expansion prevention devices.

Maintaining the permanence of a company in the current rapidly changing business environment is not an easy task. Rather, the lifespan of a company can be said to be gradually decreasing. As such, the author of this paper, which describes the current market environment, is the sales organization of a large company. While leading the company, I thought about how to overcome the rapidly changing market and create an organization that continues to grow. As a result, I succeeded in creating an organization that continued to grow over the past two years, and the main activity of this result was the use of sales computer. It was clear that it was an information sharing activity. This can be said to be a result of proving that a series of activities to create and share information is important for the sales organization of ICT companies to actively respond to the rapidly changing market environment. Therefore, this study attempted to examine the relationship between knowledge management and business performance in the sales field of ICT companies, which has not been covered so far. Knowledge management is a four-stage activity from a process perspective, divided into knowledge creation, knowledge storage, knowledge transfer, and knowledge utilization. did. As a result of the study, first, knowledge management activities, such as knowledge creation and knowledge storage, were found to have a significant impact on financial performance. Second, knowledge management activities such as knowledge creation, knowledge storage, knowledge transfer, and knowledge utilization were all found to have an impact on non-financial performance. In the end, this study confirmed that efforts to turn tacit knowledge into knowledge in order to respond to the ever-changing ICT market are ultimately an important factor in growing a company.

This study addresses the scarcity of research examining technology’s impact on learners of English as a foreign language in English for specific purposes (ESP) courses within English-medium instruction (EMI) programs. Focusing on a business communication course using a social question-answering platform, this study explores the interplay among English proficiency, motivational orientations, and online engagement. Surveying 126 university students via a mixed-method approach, this research identifies distinct motivational orientations (intrinsic, extrinsic, and self-efficacy) existing during class activities, influenced by proficiency levels, with notable differences in online participation between beginner and advanced learners. The findings suggest that while online activities enhance peer interaction and teacher feedback, they may trigger anxiety in beginners, potentially diminishing motivation and self-efficacy. These results emphasize the need to tailor technology integration to proficiency levels and motivational orientations in ESP/EMI settings. Practical recommendations are offered for educators aiming to implement effective online activities and provide targeted support, particularly for beginner learners, thereby bolstering their motivation and selfefficacy.

Considering the difficulties of the manufacturing industry by improving production efficiency in the era of high wages and aging in domestic automation facilities, automation facilities are considered an irreversible trend, but many serious related disasters are occurring due to the problems of increasing automation facilities due to the enlargement of manufacturing processes, line-up, and automation. The purpose of this study is to review the usage conditions and safety measures for industrial robots that are experiencing serious industrial accidents and are expected to continue to increase in facilities among automation facilities at the automation industrial site and propose ways to ensure the fundamental safety of the facilities at all times The suggestions are as follows. The purpose is to prevent safety accidents in advance by applying safety door aids to industrial sites and installing additional safety devices in safety slide door lock systems applied to safety fence doors of new and already installed facilities to detach safety keys and ensure that workers carry them at all times.

In this study, we collected and analyzed the current status of licenses for the limited fishery business and divided the problems related to licenses for the limited fishery business into partial damage compensation and cancellation compensation areas. In the case of partial damage compensation areas due to existing public water use projects, it is suggested that the issuance of licenses for limited fishery businesses should be reconsidered. In the case of cancellation compensation areas, it is recommended that the disposition of communal fishery businesses that do not require capital investment should be the principle. If capital such as facilities are invested, compensation should be made by Article 52 of the Enforcement Decree of the Land Compensation Act if the licenses for limited fishery business are closed due to other development projects. In addition, we proposed an improvement plan to establish a rational management system for licenses for limited fishery businesses. In addition to these improvement measures, we hope that further investigation and research on licenses for limited fishery business, which have been insufficient so far, will be conducted to promote the comprehensive use of fisheries resources and waters and the sustainable development of fisheries that are the objectives of the Fisheries Act, and contribute to the improvement of the quality of life of the people and the balanced development of the national economy.

Determining the number of operators who set up the machines in a human-machine system is crucial for maximizing the benefits of automated production machines. A man-machine chart is an effective tool for identifying bottlenecks, improving process efficiency, and determining the optimal number of machines per operator. However, traditional man-machine charts are lacking in accounting for idle times, such as interruptions caused by other material handling equipment. We present an adjusted man-machine chart that determines the number of machines per operator, incorporating idleness as a penalty term. The adjusted man-machine chart efficiently deploys and schedules operators for the hole machining process to enhance productivity, where operators have various idle times, such as break times and waiting times by forklifts or trailers. Further, we conduct a simulation validation of traditional and proposed charts under various operational environments of operators’ fixed and flexible break times. The simulation results indicate that the adjusted man-machine chart is better suited for real-world work environments and significantly improves productivity.

The purpose of this study is to improve the stack effect of the staircase and the failure to take into account the opening of the outside door of the staircase, which are the disadvantages of the existing smoke control only vestibule. As a result of the study, the new vestibule and the staircase simultaneous smoke control are equipped with an exhaust flap damper with an effective opening area of about 0.25 m² in the upper part of the staircase, and a ventilator-type air supply fan of about 5 m³/s in the lower part, and take measures to prevent overpressure in the staircase. If you use the new simultaneous smoke control method of the vestibule and staircase, you can achieve the following effects. First, it is possible to open the external entrance door. Second, it can reduce the stack effect. Third, the staircase door closes automatically without fail. And a new method of preventing overpressure was proposed for the vestibule.

최근 전 세계적으로 주목받는 자연 재난 중 하나는 폭염이다. 지구온난화로 세계의 기온이 상승함에 따라 피해도 꾸준히 발 생하고 있으며, 우리나라 역시 2011년 443명이던 온열질환자가 2018년 4,526명으로 10배가 넘게 증가하였다. 그로 인해 대한민국 정 부는 지속적인 기온상승과 폭염 피해 증가로 2018년 9월에「재난 및 안전관리 기본법」을 개정하여 기존 자연재난 분류에 포함되어 있지 않던 폭염을 추가함으로써 폭염으로 발생한 피해에 대한 지원, 보상을 위한 법적 근거를 마련하고 이전보다 폭염에 대해 주의 깊 은 관심과 저감 대책을 마련하기 위해 노력하고 있다. 높아진 관심처럼 폭염에 관한 연구는 2018년 이후 꾸준히 증가하였지만, 대부분 의 선행연구는 폭염 당일의 기온과 온열질환자에 대해 분석하였고, 폭염의 지속성이나 풍속이 온열질환자 발생에 미치는 영향에 대한 선행연구는 매우 미비한 형편이다. 따라서 본 연구에서는 폭염의 지속성의 영향을 평가하기 위하여 온열질환자 발생 당일을 기준으로 3일~7일 이전 기간을 포함한 기간의 기상 데이터, 즉 일 최고기도, 일 최저기온, 일 최고 체감기온, 일 평균 풍속의 이동 평균을 고려하 여 온열질환자 발생 이전의 기온과 발생 당일의 기온이 온열질환자에게 어떠한 영향을 미치는지 분석하였다. 연구 결과 최고기온, 최 저기온의 이동 평균 기간별로 온열질환자 발생에 영향을 미치는 것을 확인하였으며, 일 평균 풍속이 2 m/s 이상일 경우 온열질환자 발 생률이 감소하는 것을 확인하였다. 하지만 기상데이터를 지자체별로 수집할 수 없어 인접 데이터를 사용한 한계와 온열질환 발생 이 전의 기상 환경 분석을 단순 산술평균을 이용하였다는 한계를 지니고 있다.

Restraints of Branch Lines are used as earthquake-resistant support devices for fire-fighting pipes along with sway brace devices. The central types are aligned and fixed in a straight line with center of the pipe, but the eccentric types are fixed to on side of the pipe, so a bending moment occurs. In this study, three specimens each of central type and eccentric type were installed at an angle of 45° from the vertical and a monotonic compression load of 1340N was applied. All central type samples satisfied 17.8mm of the allowable displacement, but all eccentric type samples failed to meet the target load and buckled. Therefore, when considering the performance of eccentric type restraints, both compressive load and bending moment must be considered. Even through material mechanics calculations, the yield stress of eccentric type - 3/8 inch all threaded steel bolt - exceeds 320Mpa of the allowable stress. A experiment standards need to be established for eccentric type restraints.

Deep learning-based computer vision anomaly detection algorithms are widely utilized in various fields. Especially in the manufacturing industry, the difficulty in collecting abnormal data compared to normal data, and the challenge of defining all potential abnormalities in advance, have led to an increasing demand for unsupervised learning methods that rely on normal data. In this study, we conducted a comparative analysis of deep learning-based unsupervised learning algorithms that define and detect abnormalities that can occur when transparent contact lenses are immersed in liquid solution. We validated and applied the unsupervised learning algorithms used in this study to the existing anomaly detection benchmark dataset, MvTecAD. The existing anomaly detection benchmark dataset primarily consists of solid objects, whereas in our study, we compared unsupervised learning-based algorithms in experiments judging the shape and presence of lenses submerged in liquid. Among the algorithms analyzed, EfficientAD showed an AUROC and F1-score of 0.97 in image-level tests. However, the F1-score decreased to 0.18 in pixel-level tests, making it challenging to determine the locations where abnormalities occurred. Despite this, EfficientAD demonstrated excellent performance in image-level tests classifying normal and abnormal instances, suggesting that with the collection and training of large-scale data in real industrial settings, it is expected to exhibit even better performance.