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.

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.

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.

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.

현재 우리나라 청소년들의 사망률에 있어서 자살은 압도적인 수치를 기록하고 있다. 그러나 자살시도는 우발적으로 일어나기보다는 자살생각 의 빈도가 높을수록 자살시도가 많아진다는 것에 주목하였다. 이에 본 연구는 청소년기에 가장 많은 시간을 보내는 학교와 오프라인을 넘어 지 속되는 SNS에서 일어나는 사건에 초점을 맞추어 청소년의 학교생활만족 도와 자살생각의 관계에서 사이버불링 피해 경험의 매개효과를 검증하는 것을 목적으로 하였다. 이를 위해 ‘2020 아동·청소년 인권실태조사’에 응 답한 고등학생 2,460명을 대상으로 부트스트랩 검증을 한 결과 첫째, 학 교생활만족도는 사이버불링 피해 경험과 자살생각을 감소시키는 것으로 나타났다. 둘째, 사이버불링 피해 경험은 자살생각을 높이는 것으로 확인 되었다. 마지막으로 학교생활만족도와 자살생각의 관계에서 사이버불링 피해 경험은 부(-)의 방향에서 부분매개하였다. 이러한 결과는 학교생활 만족도가 사이버불링 피해 경험을 감소시킨 뒤 차례로 자살생각을 낮추 는 것으로 볼 수 있다. 즉, 자살생각을 감소시키기 위해서는 사이버불링 의 피해를 낮추는 것과 동시에 학교생활만족도를 높이기 위한 접근이 필 요하다. 본 연구결과를 바탕으로 후속연구를 위한 제언을 하였다.

해양안전심판원은 해양수산부장관 소속의 국가기관으로서 해양안전심판의 모든 과정은 기본적으로 행정작용에 해당한다. ｢해양사고의 조사 및 심판에 관 한 법률｣(이하 ‘해양사고심판법’이라고 한다)은 지방해양심판원(이하 ‘지방심판 원’이라 한다) 소속 조사관의 해양사고조사부터 지방심판원의 재결과 중앙해양안전심판원(이하 ‘중앙심판원’이라 한다)의 재결, 그리고 중앙심판원의 재결에 대한 취소소송에 이르기까지 일련의 과정들을 아우르면서도, 일반적인 행정처 분과 그에 대한 불복절차와는 다른 매우 특수한 체계를 형성하고 있다. 그 이 유는 해양사고의 특수성과 그에 관한 해양안전심판원의 전문성이 반영되었기 때문이다. 하지만 현재 해사법원의 설치 논의에서는 해양안전심판원의 전문성 의 합리적인 활용방안에 관한 논의는 이루어지고 있지 않다. 이 논문은 해사법 원 설치에 있어 해양안전심판원의 전문성을 활용하기 위한 방안을 마련하기 위 한 기초적인 논의로서 해양안전심판원의 지위와 기능을 행정법의 관점에서 검 토하는 것을 목적으로 한다. 우선 조사관의 조사절차는 행정조사에 해당한다. 조사관이 행하는 조사절차 에는 해양사고심판법이 기본적으로 적용되고, 행정조사기본법이 보충적으로 적 용된다. 특히 행정조사기본법 중 조사대상자의 권익을 보호하기 위한 규정들이 적용된다. 지방심판원의 재결 중 해기사나 도선사에 대한 징계재결, 해양사고관련자에 대한 시정 또는 개선 권고나 명령 재결은 행정처분에 해당한다. 해양사고심판 법이 기본적으로 적용되지만, 행정절차법은 적용되지 않는다. 반면 행정기본법은 보충적으로 적용되는데, 그 중 행정법의 일반원칙에 관한 규정들이 적용된다. 중앙심판원의 심판 및 재결은 지방심판원의 재결에 대한 행정심판의 성질을 가진다. 중앙심판원의 심판절차는 지방심판원 재결의 직근상급행정기관에 대한 심판절차일 뿐만 아니라 헌법 제107조 제3항에서 요구하는 바에 따라 사법절차가 준용되기 때문이다. 또한 중앙심판원의 전문성과 특수성을 고려하여 예외적 으로 인정되는 특별행정심판에 해당한다. 행정심판법 중 증거조사에 관한 규정 이 적용된다. 중앙심판원의 재결에 대한 취소소송은 기본적으로 행정소송법 제4조 제1호, 제2조 제1항 제1호에 따른 행정심판의 재결에 대한 취소소송의 성질을 가지나 관할, 당사자적격, 대상적격, 행정심판과의 관계, 제소기간, 본안심리의 대상 및 방법, 판결의 효력 등과 관련하여 해양안전심판원의 전문성과 특수성에서 비롯 되는 여러 가지 특징이 있다. 이상과 같이 해양사고의 특수성과 그에 관한 해양안전심판원의 전문성은 우 리나라의 해양사고심판에 내재된 핵심적인 구성요소로서 해양사고심판과 관련 된 제도들은 이러한 특수성과 전문성을 반영하여 설계되어야 한다. 향후 해사법원을 설치함에 있어서도 해양안전심판원의 전문성을 활용할 수 있는 방향으 로 제도를 구성·운용할 필요가 있다.

본 연구에서는 공기역학적 형상변화의 풍하중 저감 측면에서의 효율성을 평가하기 위해 평면의 모서리 부분이 개선된 고층 건물에 대해 사례연구 기반의 비탄성 내풍설계를 수행하였다. 비선형 시간이력해석을 통해 다양한 설계풍속 및 항복 후 강성에 대한 구조물의 응답을 산정하였으며, 최근 국내 설계기준(KDS 41)에 도입된 성능기반내풍설계 개념을 토대로 구조물의 성능을 평가하였다. 해석 결과 공기역학적 형상변화를 갖는 구조물의 경우나 성능기반내풍설계를 적용했을 경우(또는 모두에 해당할 경우) 공진성분을 줄 여 구조물의 응답이 크게 감소함을 확인하였다.

This study develops and validates an English communicative competence model for Korean high school students, in response to the need to redefine the relevant concepts and components of competence that are demanded by the rapidly evolving future society. Drawing on Celce-Murcia’s (2008) theoretical model on communicative competence, this research conceptualized a model that could assess high school students’ English communicative competence by examining relevant domestic and international studies as well as theoretical reflections. Expert opinions from a two-stage Delphi survey were compiled and incorporated to revise, supplement, and validate the English communicative competence among high school students reflecting Korea’s English education environment. Following this process, the conceptual model for English communicative competence was reorganized into five sub-competences (sociolinguistic, discourse, linguistic, interactional, and strategic competence) and 15 corresponding subfactors. The content validity ratio values for the conceptual definition and factor structure of this model were all above 0.64, thus affirming the validity of the conceptual definition and factor structure.

Among Japan's agriculture, forestry, fisheries and regional revitalization plans established in June 2018, the key matters related to aquaculture include ① a new perspective on the sponge use system for the development of aquaculture and coastal fisheries, ② a comprehensive strategy for growth and industrialization of aquaculture, and ③ expansion of suitable aquaculture areas. There are four countermeasures including ④ research and development trends. In accordance with these key points, the Japanese government established a comprehensive strategy for aquaculture growth and industrialization by strategically setting aquaculture items in consideration of domestic and international demand, establishing a comprehensive strategy from production to sales and export, and then working in earnest to promote the aquaculture industry. This study analyzes environmental changes surrounding aquaculture in Japan and trends in fish farming and marine products, and summarizes the key points of the June 2018 Agriculture, Forestry, Fisheries and Regional Revitalization Plan to suggest measures that can be utilized in Korea’s aquaculture policy.

This study explores the impact of technostress on the intention to use telemedicine applications (apps) in the post-COVID19 era, a period marked by the rapid popularization of such apps to mitigate COVID19 infection risks. Utilizing the Technology Acceptance Model (TAM), the study identifies variables and proposes a research model. A questionnaire survey involving 364 adults is analyzed through Partial Least Squares-Structural Equation Modeling. Results indicate positive significance for variables linked to the TAM (perceived usefulness, perceived ease of use, attitude, and intention to use). Notably, techno-complexity negatively affects perceived ease of use, while techno-unreliability negatively impacts perceived usefulness and ease of use. Surprisingly, techno-uncertainty has a positive effect on both perceived usefulness and ease of use. Techno-overload, although negatively impacting perceived usefulness and ease of use, does not reach statistical significance. The study underscores the need to consider both positive and negative aspects, including technostress, when evaluating telemedicine app usage. Additionally, recognizing the varying impact of technostress based on users' ICT(Information and Communication Technology) confidence levels is crucial. Overall, these findings contribute academically to telemedicine app adoption literature and hold industrial significance by providing a user perspective on these apps.