This research, grounded in the extended technology acceptance model, aimed to explore the relationships among factors influencing Korean EFL learners’ acceptance of ChatGPT for English learning in a voluntary usage context. To this end, a questionnaire was distributed to college students who had used ChatGPT for language learning, utilizing a convenience sampling method. A total of 400 responses were analyzed to test hypotheses using structural equation modeling (SEM). Findings revealed that learners’ perceived usefulness significantly predicted their intention to continue using ChatGPT, while perceived ease of use did not. Moreover, learners’ result demonstrability was found to be a predictor of perceived usefulness, whereas subjective norm was not. Both playfulness and output quality significantly influenced learners’ perceived ease of use. This study identified key factors that could enhance EFL learners’ acceptance of ChatGPT by improving perceptions of usefulness and ease of use, offering valuable insights for integrating ChatGPT into English education.

농산물 재배, 수확 후 세척 등에 사용되는 농업용수는 미생물에 오염될 경우 병원균을 농산물로 전파하여 식중 독을 유발할 수 있기 때문에 관리가 필요하다. 이 연구는 2021년부터 2023년까지 하천수, 저수지, 지하수 등 다양 한 수원의 농업용수에서 대장균군과 대장균의 오염 수준 을 조사하고 자외선(ultraviolet, UV) 소독이 농업용수 내 미생물을 저감시키는 데 얼마나 효과적인지 평가하였다. 농업용수의 미생물 수질조사 결과 대장균 오염도는 수원 에 따라 차이가 있는 것으로 나타났다. 하천수의 대장균 농도는 평균 0.95±1.23 log CFU/100 mL였으며, 저수지는 평균 0.76±1.07 log CFU/100 mL, 지하수는 평균 0.1±0.47 log CFU/100 mL, 기타수원은 평균 0.6±0.87 log CFU/100 mL로 조사되었다. 수원별로 보면 하천수, 저수지, 지하수 순으로 높은 미생물 오염을 보였다. 다양한 용수 조건에 서 자외선 소독을 테스트한 결과, 99.9% 미생물 비활성화 에 필요한 UV 선량은 증류수에서 1.2-1.6 mW/cm2·sec, 농 업용수 원수에서 2.0-2.7 mW/cm2·sec 범위 였다. 고형물 응집제를 통해 전처리된 농업용수는 처리되지 않은 농업 용수 원수에 비해 자외선 투과율이 높았으며, 미생물을 99.9% 감소시키는 데 필요한 자외선 선량이 더 낮아지는 것으로 나타났다. 용수 자외선 투과도가 감소함에 따라 소독 효율이 감소함에도 불구하고 본 실험에서 조사된 선량 은 수질에 상관없이 수초 내 99.9%의 미생물 감소를 달 성하는 것으로 나타나, UV 소독기술은 농업용수의 미생 물 위험을 줄이는 데 효과적인 방법으로 판단된다.

In this study, in order to develop an eco-friendly filtration method that considers the health and safety of the aquatic ecosystem by differentiating it from chemical methods (coagulants, oxidants, etc.), which are mainly used as methods for managing the removal of algae in the algal bloom stage, an effective separation membrane for algae removal was reviewed, an appropriate technology was proposed through field application, and the effect of algae removal was evaluated. The membrane used was applied in the field by constructing an optimal technology through auxiliary facilities with an immersion tubular membrane and a pressurized tubular membrane resistant to adhesive pollutants and algae. As a result, the strong characteristics of Fouling (blocking) by adhesive algae were confirmed, and the effect of removing algae and particulate matter in the immersion type tubular membrane was 99% chlorophyll-a (Chl-a), 99.2% suspended solid (SS), and 96.7% of pressurized tubular membranes, showing excellent effects in removing algae and particulate organic matter. In addition, as a result of field application to eutrophic reservoirs where high-density algae are distributed, it was confirmed that stable operation of algae was possible during the process of filtering, separation, and concentration.

지난 10년간 국내 고속도로의 관리 대상 구조물 수는 2013년 8,302개소에서 2023년 11,054개소로 약 25% 증가했다. 특히, 공용 20~30년 미만의 교량이 전체 교량의 약 40%를 차지하고 있으며, 이들 교량의 노후화가 향후 10년 내 집중적으로 발생할 것으로 예상 된다. 이에 따라 유지관리 비용이 급격히 증가할 것으로 전망된다. 효율적인 자산관리를 위해서는 상태평가 결과를 바탕으로 예측모델 을 적용하여 구조물의 성능과 생애주기 비용을 예측하는 것이 중요하다. 그러나, 유지관리에 따른 구조물 성능향상과 열화모델 적용 등 다양한 변수를 고려한 예측모델 적용할 때, 인력점검의 한계와 점검자의 주관적 판단에 따른 점검오차를 최소해야만 개별 구조물 의 현재 상태에 대한 정확한 평가가 가능할 것이다. 이와 관련하여 본 연구에서는 자산관리 개선을 위한 추진전략과 상태평가 신뢰성 확보를 위한 신기술 적용방안을 제시하고자 한다. 따라서, 교량 자산가치평가 정확도 향상을 위해 BIM(Building Information Modeling) 모델 제작 및 손상평가 AI(Artificial Intelligence) 기술을 적용한 ‘BIM 기반 외관조사망도 자동생성 시스템’을 통해 인력점검의 한계와 점검오차로 인한 문제를 개선하고자 하며, 점검/진단 자동화 기술을 구조물 유지관리 업무 시스템에 연계하여 손상정도를 시계열로 모 니터링하고, 최적 보수시기 및 공법 선정 의사결정에 활용할 수 있으며, 보수·보강 비용 및 조치편익을 분석하여 유지관리 사업계획 수립 시 활용할 수 있을 것으로 판단된다. 향후 ‘점검/진단 자동화 시스템‘을 고속도로 자산관리에 시범적으로 적용하여 실제 현장 점 검자의 사용성 검증과 시스템 운영방안 수립을 통해 효율적 자산관리를 위한 도로관리자의 의사결정을 지원할 수 있을 것으로 기대한다.

The demand for LNG Carrier and LNG fuel ships are increasing due to global carbon neutrality declaration and ship emissions regulation of IMO, domestic shipyards pay technology fees(about 5~10% of ship price per vessel) to GTT company in France for making LNG cargo hold. Localization of LNG cargo hold is needed to reduce technology fees and engage technological competitiveness, it is important to secure the critical technology like automation process development of insulation system process. Especially, the automation rate of membrane-type insulation system is very low due to interference caused by corrugation and difficulty in securing optimal variable welding condition. In this study, to solve this problem, automatic welding is performed using developed automatic welding equipment on STS304L steel which is used in flat and corner area of membrane-type LNG cargo hold's lap joint. After welding, Cross-sectional observations and Tensile strength tests were conducted to evaluate reliability of equipment and welding condition. As a result of the test, it was confirmed that the strength of the welded zone exceeded that of base material, and secured the optimal welding condition to apply automatic welding.

The progress of science and technology has driven the development of the society, and the application of threedimensional simulation technology in all walks of life has greatly improved people's life. Maritime affairs is an important part of comprehensive transportation. The improvement of maritime supervision and service level is conducive to the construction of domestic first-class economic law enforcement system and international leading maritime management institutions. Now the application of 3D simulation technology to maritime supervision is studied, aiming to improve the quality and efficiency of supervision, make maritime supervision more convenient and have further guarantee. Maritime supervision of ship environment is often more troublesome than personnel management. In the process of monitoring and control, many uncontrollable environmental factors greatly increase the difficulty of supervision, among which the port environment is more complex, which is a difficulty of monitoring and control in maritime supervision. This paper uses MapInfo Professional, Win Topo, Multigen Creator and other operating software to construct the Qingdao port visual simulation environment. The port topographic cloud map of Qingdao Port was captured, and the collected image information was converted into data through MapInfo Professional and Win Topo software, and then modeled by Multigen Creator software. After completing the general terrain outline, the established simulation scene was made more realistic and realistic through some detail processing and optimization means. By describing the establishment of 3D simulation terrain in Qingdao Port, the application status of the simulation technology in ship environment and port management is reflected, which provides a reference for the deeper application of 3D simulation technology in maritime supervision.

Deep geologic repositories (DGR) are designed to store spent nuclear fuel and to isolate it from the biosphere for an extended period of time as long as millions of years. The long-term performance of the DGR replies on the performance of the natural geologic barriers after the end of the lifetime for the engineered barrier systems. Typically, multiple analytical and numerical models are used to analyze and ensure the safety of the repositories along both engineered and natural barrier systems. Despite the immense advancement in computing power and modeling techniques over the last few decades, a series of models and their linkage often require many simplifying assumptions in this safety assessment. The degree of the reliability and confidence of the safety analysis is thus highly dependent on the validity of those tools used. Considering the significance of the DGR performance and public attention, the highest level of quality control is necessary for the models employed in the assessment. The performance of the ultimate long-term geologic barrier is determined by the expected travel time of the radioactive species of interest, the level of their dilution or radioactivity at compliance areas, and the uncertainty associated with them. As the species of interest can be carried away from the repository location by groundwater flow, the travel time is determined by groundwater velocity along the flow path from source to biosphere while the dilution is a function of the decay and production rates as well as the diffusion and dispersion. Due to the time scale and the complexity of the physicochemical processes and geologic media involved, the models used for safety evaluation will need to become more and more comprehensive, robust, and efficient which is difficult to achieve in principle. They will also need to be transparent and flexible to satisfy the regulatory quality control requirements. This study thus attempts to develop an accessible, transparent, and extensible integrated hydrologic models (IHM) which can be widely accepted by the regulators as well as scientific community and thus suitable for current and future safety assessment of the DGR systems. The IHM can be considered as a tool and a framework at the same time when it is designed to easily accommodate additional processes and requirements for the future as it is necessary. The IHM is capable of handling the atmospheric, land surface, and subsurface processes for simultaneously analyzing the regional groundwater driving force and deep subsurface flow, and repository scale safety features, providing an ultimate basis for seamless safety assessment in the DGR program. The applicability of the IHM to the DGR safety assessment is demonstrated using simple illustrative examples.

본 연구에서는 고등학교-대학 연계 학과 전공체험 프로그램을 개발하여 적용하였다. 프로그램은 메이커 교육과 성장 가능성이 큰 스마트의류 테크놀로지를 접목시켰다. 첫째, P(준비) 단계에서는 스마트의류 및 메이커 교육에 대 한 선행 연구의 내용을 파악하여 스마트의류 테크놀로지를 염색 디자인 교과목에 접목하였다. 둘째, D(개발) 단계에 서는 잉크젯 프린터용 전사지를 이용한 전사염, 전도성 실과 LED 전구를 이용한 스마트의류 테크놀로지를 적용하 여 감성에코백을 만드는 프로그램을 개발하였다. 셋째, I(실행) 단계에서는 의류학 전공을 희망하는 고등학생 17명을 대상으로 수업을 진행하였다. 마지막으로 E(평가) 단계에서는 스마트의류 테크놀로지를 적용한 메이커 교육 프로그 램의 만족도를 5점 척도로 측정하였다. 그 결과 4.95점으로 매우 만족하는 것으로 평가되어, 기존 프로그램에 릴리패 드 아두이노를 추가한 심화 프로그램을 제안하였다. 따라서 본 연구를 통해 전도성 실과 전사염을 적용한 감성에코백 개발 프로그램은 스마트의류 테크놀로지에 보다 쉽게 접근할 수 있어 의류학 전공에 관한 고교 학생들의 생각을 확장시킬 수 있음을 확인하였다.