지금 우리의 시대를 지칭하는 용어로 얼마 전까지 사용하던 4차산업혁명시 대보다 ‘AI 시대’가 더 적합한 것으로 보인다. 4차산업혁명의 기술적 변화 가 운데 가장 직접적이고 가시적으로 그 변화를 체감하게 하기 때문이다. 이전에 도 기존의 기보(棋譜)를 암기, 학습하던 수준에서 스스로의 수(手)를 찾아낸 AlphaGo처럼, 특정 분야에서의 활용 위주로 설계된 AI들도 상당한 능력을 보여준 바 있다. 하지만 이렇게 특정 분야에 특화된 것이 아니라, 다양한 목 적에 적용될 수 있는 범용인공지능이 그 학습속도와 역량이 역시 비약적으로 발전되어 스스로 질문하고 답하는 단계에 이른다면 그 영향력은 무엇을 상상 하든 그 이상이 될 것이다. 물론 GPT, 라마(LLaMA) 등 범용인공지능의 능 력이 개발사 혹은 그 추종자들이 홍보, 찬양하고 있는 것만큼 발전되어 있는 가에 대한 의문도 있다. 또한 기술적 진보를 중시하고 그에 의한 부작용 역시 기술적으로 극복가능할 것이라고 보는 낙관론자와 달리 기술적 진보가 가져 올 부작용을 두려워하는 비관론자 혹은 그 과도기적 상황에서 나타날 문제를 더 크게 보는 사람도 있다. 그리고 부인하기 힘든 것은 우리가 가진 미래에 대한 인상은 앞선 시대에 예술적 천재들이 미리 엿보고 와서 그려낸 기술적 dystopia가 그려진 영화, 드라마, 소설의 영향에서 자유롭지 못하다는 점이 다. 지금의 기술적 진보수준을 정확하게 평가하기 어렵고, 그 미래는 더더욱 예측하기 힘든 나의 입장에서 더 크게 보이는 것은 기술적 진보가 해결해줄 문제들보다 기술적 진보가 초래하는 새로운 문제들이다. AI와 관련된 문제는 앞으로도 오랫동안 우리 시대의 화두가 될 것으로 보 인다. 그러나 적어도 지금의 단계에서 AI는 막연한 두려움이나 기대의 후광 으로 인해 그 정확한 실체를 알아보기 힘들다. 또한 하루가 다르게 발전하는 관련 기술의 진보에 따라 오늘의 논의는 내일의 문제를 해결하기 위해서 무 용(無用)해지기 십상이다. 지나친 공포로 인해 관련기술의 발전을 억제하는 것도, 막연한 낙관으로 인해 우리가 통제할 수 없는 괴물을 우리 손으로 창조하 는 것도 경계할 필요가 있을 것이다. 다만 지금의 수준에서는 AI의 도구적 성격에 주목하여 그 유용성을 활용하면서도 부작용 혹은 그 가능성을 억제, 감시할 수 있어야 하고, 이러한 노력은 국가 단위를 넘어서 범지구적으로도 협력할 필요가 있을 것으로 보인다.

This study develops a machine learning-based tool life prediction model using spindle power data collected from real manufacturing environments. The primary objective is to monitor tool wear and predict optimal replacement times, thereby enhancing manufacturing efficiency and product quality in smart factory settings. Accurate tool life prediction is critical for reducing downtime, minimizing costs, and maintaining consistent product standards. Six machine learning models, including Random Forest, Decision Tree, Support Vector Regressor, Linear Regression, XGBoost, and LightGBM, were evaluated for their predictive performance. Among these, the Random Forest Regressor demonstrated the highest accuracy with R2 value of 0.92, making it the most suitable for tool wear prediction. Linear Regression also provided detailed insights into the relationship between tool usage and spindle power, offering a practical alternative for precise predictions in scenarios with consistent data patterns. The results highlight the potential for real-time monitoring and predictive maintenance, significantly reducing downtime, optimizing tool usage, and improving operational efficiency. Challenges such as data variability, real-world noise, and model generalizability across diverse processes remain areas for future exploration. This work contributes to advancing smart manufacturing by integrating data-driven approaches into operational workflows and enabling sustainable, cost-effective production environments.

This paper delves into the standard system for selecting aviation tools. Generally, standards are seen as foundational and fundamental. However, in actual practice, there are often instances where a thorough differentiation of the standard unit system isn't properly executed, resulting in product defects in certain companies. Therefore, through the insights gathered in this study, we aim to reaffirm the basic principles and move forward with the objective of manufacturing products of impeccable quality in accordance with future quality improvement policies. Ultimately, we aspire for K-Defense to emerge as a prominent leader in the global market.

Background: The shift from traditional education to competency-based education in response to societal demands, emphasizes the need for developing assessment tools to measure major competencies—comprising knowledge, skills, attitudes, and personal characteristics—required to perform specific tasks. Thus, It is essential to develop assessing tools to measure the existing major competencies in physical therapy, enabling more effective management of educational outcomes on competencies. Objectives: The purpose of this study is to develop an assessment tool for measuring major competencies within the Department of Physical Therapy. Design: Delphi survey research. Methods: This study was conducted based on the three major competencies and six sub-competencies of the Physical Therapy Department. To develop an assessing tool for measuring major competencies, conversion of the achievement factor into behavioral statements, and expert panel group Delphi survey was conducted. Results: The results of the Delphi survey indicated 0.88 to 1, exceeding the established threshold and demonstrating adequate validity. Conclusion: A total of 54 preliminary questions for the major competency assessing tool were developed through the Major Curriculum Committee. Through the Delphi survey, the validity of the 54 preliminary questions for major competencies was secured.

본 연구는 영유아 부모 개개인의 전반적인 성향 및 양육과 관련한 다양한 요인들을 파악하여 보다 효과적이고 바람직한 부모역할을 지원하기 위한 검사도구를 개발하고 표 준화하기 위하여 수행되었다. 이를 위해 전국의 영아(15～36개월)와 유아(만 3～7세)를 둔 부모를 대상으로 설문조사를 시행하였다. 총 4,237부의 설문을 수집하였으며 응답의 극단치를 나타내거나 응답신뢰도가 낮은 234명의 데이터를 제외하고 최종적으로 4,003부 (영아 1,772부, 유아 2,231부)를 분석에 반영하였다. 본 연구의 결과 영아용 검사도구는 영아 기질 12문항, 발달특성 9문항, 정서행동특성 9문항으로 구성되었으며, 유아용 검사 도구는 유아 기질 14문항, 발달특성 11문항, 정서행동특성 14문항으로 구성되었다. 부모 용 검사도구는 상호작용 12문항, 양육효능감 11문항, 양육스트레스 6문항으로 구성되었 다. 부모자녀 관계검사의 문항의 신뢰도와 타당도를 검증한 결과 문항의 내적일치도와 검사-재검사 신뢰도 모두 본 검사도구의 신뢰도에 문제가 없는 것으로 나타났다. 또한, 검사도구의 타당도를 검증하기 위해 하위요인 간 상관검사, 확인적 요인분석을 시행한 결과 모든 지표에서 본 검사 가 문제가 없는 것으로 나타났다.

Purpose: Nursing students' competence in virtual simulation-based learning is a key factor in its success. This study explored the validity and reliability of a virtual-simulation-based learning competency self-evaluation tool for nursing students. Methods: Data were collected from a web-based survey. First, 11 nursing professors participated in a focus group interview, and 7 simulation education experts participated in the preliminary item content validity. The participants in these two aspects were not the same. Then, a preliminary survey was conducted with 15 fourth-year nursing students in I City. Next, based on these three efforts, a final survey comprising 20 evaluation items was developed. This survey was administered to third- and fourth-year nursing students at four nursing colleges in Korean provinces (Seoul, Gyeonggi, Gangwon, and Gyeongsan-do); 222 complete questionnaires were used for the final analysis. Further, Kirkpatrick’s evaluation model was used for four steps each of tool development and verification processes of the associated psychometric aspects, for a total of eight steps. An exploratory factor analysis was performed on the collected survey data, and verify the tool's validity and reliability. Results: Four factors comprising 15 items explained 66.59% of the variance: learning preparation and start-up (4 items), nursing assessment (3 items), data interpretation (3 items), and problem solving (5 items). The Cronbach's α of the tool was 0.74, and that of the factors ranged from 0.72 to 0.80. Conclusions: The tool's validity and reliability were demonstrated using established methodologies. This tool can be useful for evaluating Korean nursing students' virtual simulation learning competence.

This study analyzes students’ use of ChatGPT prompts to explore its potential as a supplementary feedback tool in English writing classes. Thirty-one pre-service teachers participated and were divided into high, middle, and low groups based on their self-evaluation, standardized test scores, and essay scores prior to receiving ChatGPT feedback. The data sources included their two essays, ChatGPT prompts, questionnaires, and transcripts from the second writing conference. The ChatGPT prompts and questionnaires were analyzed using descriptive statistics, and the writing conference transcripts were examined to understand the participants’ use of prompts. The results showed participants used prompts 40 times in the first assignment and 175 times in the second assignment. The average prompt usage increased from 1.5 times in the first assignment to 6.7 times in the second assignment. In terms of students’ levels, the high group used more prompts (5.58 times) than the middle (5 times) and the low groups (1.75 times). Notably, students who used ChatGPT commands five times or more were mostly from the high and middle groups. Differences in prompt usage patterns were also identified, with the high and middle groups engaging in more continuous and interactive conversations with ChatGPT. Students expressed satisfaction with ChatGPT’s feedback, particularly in vocabulary selection, grammar correction, and sentence generation.

목적: 라이프스타일 행동에 반영된 가치체계를 측정하기 위한 Yonsei Lifestyle Profile-Values (YLP-V)의 구성타당도와 신뢰도를 검증하였다. 연구방법: 온라인 리서치 기관에 등록된 만 55세 이상의 지역사회 거주 중고령자 및 노인 300명을 대상으로 YLP-V를 사용하여 자료를 수집하였다. 수집된 자료는 기술통계, 차별기능문항, 요인분석을 실시하였다. 요인분석은 요인구조 추정을 위한 탐색적 요인분석과 4가지 경쟁모델(단일요인, 계층적 요인, 다차원 요인, 이중요인)에 대한 확인적 요인분석을 통해 비교하고 타당성을 확인하였다. 결과: 목표회전을 통한 탐색적 요인분석 결과, YLP-V의 활동(activity, 5문항), 관심(interest, 4문항), 의견 (opinion, 9문항)에서 목표행렬에서 0.4 이상의 부하량을 갖는 것을 확인하였다. 확인적 요인분석 결과, 이중요인 모델(χ2 = 164.58**, degree of freedom = 117, root mean square error of approximation = 0.05, standard root mean residual = 0.04, comparative fit index = 0.95, Turker Lewis index = 0.93)이 가장 우수하게 나타났다. 결론: 라이프스타일에서 미시적 접근이 가능한 YLP-V 개발 근거와 일관성 있는 요인구조를 확인하였다. 이는 YLP-V가 총 18문항의 활동, 관심, 의견에 대한 이중요인 구조로 타당성을 확인하였으며, 건강 라이프스타 일에서 행동에 반영된 가치체계 측정과 이해에서 활용될 수 있을 것이다.

Friction stir spot welding (FSSW) is a solid-state joining process and a rapidly growing dissimilar material welding technology for joining metallic alloys in the automotive industry. Welding tool shape and process conditions must be appropriately controlled to obtain high bonding characteristics. In this study, FSSW is performed on dissimilar materials AA5052-H32 aluminum alloy sheet and SPRC440 steel sheet, and the influence of the shape of joining tool and tool insertion depth during joining is investigated. A new intermetallic compound is produced at the aluminum and steel sheets joint. When the insertion depth of the tool is insufficient, the intermetallic compound between the two sheets did not form uniformly. As the insertion depth increased, the intermetallic compound layer become uniform and continuous. The joint specimen shows higher values of tensile shear load as the diameter and insertion depth of the tool increase. This shows that the uniform formation of the intermetallic compound strengthens the bonding force between the joining specimens and increases the tensile shear load.

This study investigates the enhancement of surface precision and dimensional accuracy in STS 316L oval pipes through the application of magnetic abrasive finishing. The experiment involves the modification magnetic pole shapes(A, B, C, D) and a comprehensive analysis of their impact on surface quality. Key parameters include magnetic abrasive KX#320, iron powder, aluminum oxide, light oil, a test specimen rotating at 600rpm, and periodic injection of polishing liquid, a permanent magnet Nd-Fe-B, and magnetic pole steel 1018, reciprocating distance 20mm, and a feed rate 1mm/sec over a 32minutes duration with measurements every 4minutes. The results demonstrate significant variations in surface quality based on magnetic pole shape, with specific configurations demonstrating superior precision and smoothness from the initial surface 0.32μm to 0.06μm.

This article presents the crucial role played by the French underground research laboratory (URL) in initiating the deep geological repository project Cigéo. In January 2023, Andra finalized the license application for the initial construction of Cigéo. Depending on Government’s decision, the construction of Cigéo may be authorized around 2027. Cigéo is the result of a National program, launched in 1991, aiming to safely manage high-level and intermediate level long-lived radioactive wastes. This National program is based on four principles: 1) excellent science and technical knowledge, 2) safety and security as primary goals for waste management, 3) high requirements for environment protection, 4) transparent and openpublic exchanges preceding the democratic decisions and orientations by the Parliament. The research and development (R&D) activities carried out in the URL supported the design and the safety demonstration of the Cigéo project. Moreover, running the URL has provided an opportunity to gain practical experience with regard to the security of underground operations, assessment of environmental impacts, and involvement of the public in the preparation of decisions. The practices implemented have helped gradually build confidence in the Cigéo project.

본고는 단국대학교 부설 한문교육연구소에서 개발 중인 특수 어휘 매칭 툴을 구동시켜 어휘 데이터의 문제점과 개선 방향을 논의하기 위해 작성되었다. 한문교육연구소 개발 어휘 매칭 툴은 최종적으로 한문 고전 텍스트를 토크나이징(Tokenizing) 하기 위한 것이며, 특수 어휘의 매칭은 전체 텍스트를 토크나이징을 하기 위한 첫 단계라고 할 수 있다. 이 어휘 매칭 툴 실행 결과를 MARKUS 자동 마크업과 비교함으로써 매칭 툴과 그 데이터의 장단점을 분석하고, 이 과정에 발견된 문제점에 대해 보완할 수 있는 방향을 제시하였다. 한문교육연구소 어휘 매칭 툴은 한문고전에 특화된 도구로서 중요한 역할을 할 수 있으며, 앞으로 한문 고전의 토크나이징 에도 기여할 것으로 기대된다. 하지만 현재 상태에서는 여러 가지 보완이 필요하다. 우선, 한국 고유의 지명과 인명 데이터를 추가할 필요가 있다. 현재 데이터는 주로 중국의 어휘에 집중되어 있어 한국 고유 어휘가 부족한 상황이다. 추가 어휘데이터를 구축함으로써 해결할 수 있을 것으 로 보인다. 또 별칭의 매칭 문제 등을 해결할 필요가 있다.

Post Irradiation Examination Facility (PIEF) is a test facility for nuclear fuel research and development and performance evaluation. From the past to the present, assemblies and fuel rods have been transported from nuclear power plants (NPP) several times, and various destructive and non-destructive tests have been performed. Among these, in the case of the 14×14 Westinghouse STD assemblies that are transported as a whole assembly, the top nozzle is connected to the guide tube by welding. Therefore, the fuel rods could not be removed from the assembly at the NPP, so the assemblies were transported to PIEF as is. Then, after cutting between the top nozzle and the guide tube in the pool, and the fuel rods were extracted and tested. In order to transport the assembly in the future, it is necessary to maintain stability by inserting the dummy rod into the unit cell from which the fuel rod is extracted. However, since the length of the dummy rod is almost 4 m and the diameter is about 10 mm, the dummy rod often bends while passing through the dimple spring of the grid. Additionally, when dummy rods are inserted into unit cells that are continuously empty after the fuel rods are extracted, there may be cases where the dummy rods are not inserted into the desired unit cell but are bent and incorrectly inserted into the next unit cell. The moment the dummy rods are inserted into the dimple spring of grid, a load is applied to the dummy rod due to the tension of the spring. If it can be inserted while offsetting the load, the work can be performed more smoothly. Accordingly, an underwater handling tool was developed that can be inserted while offsetting the tension of the spring. Using this handling tool applies a load to the dummy rod and rotates the dummy rod itself, offsetting the tension of the spring and allowing the dummy rod to be inserted without bending. This handling tool is equipped with a shock absorbing device to protect the dummy rod and spring, and a module to rotate the dummy rod. As a result of inserting the dummy rod using the developed handling tool, it was possible to easily insert the dummy rod into unit cells that were previously impossible to insert.

Safeguards systems and measures are determined through diversion scenario analysis based on the facility design information submitted to the IAEA when a new nuclear facility is introduced. While the concept of safeguards-by-design (SBD), which considers the safeguards from the design phase for a facility operator to minimize unplanned changes or disruption to facility operations as well as for the IAEA to increase the efficiency and effectiveness in safeguards implementation, has been emphasized for more than a decade, there is no practical tool or guidance on how to apply it. In this study, we develop a diversion path analysis tool and introduce how to apply SBD using it. A diversion path analysis tool was developed based on the elements that constitute diversion and the algorithm generated based on the initial information of facility and nuclear material flow. The results of utilizing the analysis tool depending on a different level of facility information and the safeguards set-ups were compared through examples. Taking a typical light water reactor as an example, the test analyzed the automatic generation of dedicated routes, configuration of safeguards measures, and diversion path analysis. Through this, the application and limitations of the analysis tool are discussed, and ideas for utilization according to the SBD concept and necessary regulatory guidance are proposed. The results of this study are expected to be directly utilized to domestic nuclear control during the regulation process for a construction of new nuclear power systems, and furthermore, to enhance national credibility in the engagement with the IAEA for implementation of safeguards.