본 연구의 목적은 날로 심각해지는 세대갈등이 개인과 사회발전의 저 해 요인으로 작용함에 따라 세대통합 제고를 위한 세대통합프로그램 개 발의 기초자료 제공에 있다. 노년 세대와 청소년 세대의 세대갈등에 주 목하여, 청소년과 노인을 대상으로 10년 이상 관련기관의 유경험자인 사 회복지 전공 교수 3명과 사회복지시설 종사자 3명을 대상으로 전문가 FGI를 실시하였다. 연구결과 5개의 상위 개념 ‘세대갈등과 통합’, ‘세대 통합 공감’,‘나의 세대통합 이야기’, ‘세대통합활동의 무대화’, ‘세대통합 활동 효과’와 12개의 하위 개념이 도출되어, 구술생애사를 기반으로 참 여자의 활동 결과물 전시와 공연으로 이어지는 구체적인 프로그램 방향 이 설정되었다. 구술생애사 기반 자료는 익숙한 일상사가 활동의 주요 소재가 됨으로써 생산자인 동시에 소비자가 되는 경험을 통해 프로그램 에 몰입할 수 있는 요인이 제공됨에 따라 참여자들의 상호 이해 증진으 로 세대통합 기여의 함의를 발견할 수 있었다.

빠르게 발전하는 이미지 인식 기술에도 불구하고 표 형식의 문서와 수기로 작성된 문서를 완벽하게 디지털화하기에는 아직 어려움이 따른다. 본 연구는 표 형식의 수기 문서인 선박 항해일지를 작성하는 데에 사용되는 규칙을 이용하여 보정 작업을 수행함으로 써 OCR 결과물의 정확도를 향상시키고자 한다. 이를 통해 OCR 프로그램을 통하여 추출된 항해일지 데이터의 정확성과 신뢰성을 높일 것 으로 기대된다. 본 연구는 목포해양대학교 실습선 새누리호의 2023년에 항해한 57일간의 항해일지 데이터를 대상으로 OCR 프로그램 인 식 후 발생한 오류를 보정하여 그 정확도를 개선하고자 하였다. 이 모델은 항해일지 기재 시 고려되는 몇 가지 규칙을 활용하여 오류를 식별한 후, 식별된 오류를 보정하는 방식으로 구성하였다. 모델을 활용하여 오류를 보정 후, 그 효과를 평가하고자 보정 전과 후의 데이터 를 항차별로 구분한 후, 같은 항차의 같은 변수끼리 비교하였다. 본 모델을 활용하여 실제 셀 오류율은 약 11.8% 중 약 10.6%의 오류를 식 별하였고, 123개의 오류 중 56개를 개선하였다. 본 연구는 항해일지 중 항해정보를 기입하는 Dist.Run부터 Stand Course까지의 정보만을 대 상으로 수행하였다는 한계점이 있으므로, 추후 항해정보 뿐만 아니라 기상정보 등 항해일지의 더 많은 정보를 보정하기 위한 연구를 진 행할 예정이다.

To construct and operate nuclear power plants (NPPs), it is mandatory to submit a radiation environmental impact assessment report in accordance with Article 10 and Article 20 of the Nuclear Safety Act. Additionally, in compliance with Article 136 of the Enforcement Regulations of the same law, KHNP (Korea Hydro & Nuclear Power) annually assesses radiation environmental effects and publishes the results for operating NPPs. Furthermore, since the legalization of emission plans submission in 2015, KHNP has been submitting emission plans for individual NPPs, starting with the Shin-Hanul 1 and 2 units in 2018. These emission plans specify the emission quantities that meet the dose criteria specified by the Nuclear Safety and Security Commission. Before 2002, KHNP used programs developed in the United States, such as GASPAR and LADTAP, for nearby radiation environmental impact assessments. Since then, KHNP has been using K-DOSE60, developed internally. K-DOSE60 incorporates environmental transport analysis models in line with U.S. regulatory guidance Regulatory Guide 1.109 and dose assessment models reflecting ICRP-60 recommendations. K-DOSE60 is a stand-alone program installed on individual user PCs, making it difficult to manage comprehensively when program revisions are needed. Additionally, during the preparation of emission plans and the licensing phase, improvements to KDOSE60’ s dose assessment methodology were identified. Furthermore, in 2022, regulatory guidelines regarding resident dose assessments were revised, leading to additional improvement requirements. Currently, E-DOSE60, being developed by KHNP, is a network-based program allowing for integrated configuration management within the KHNP network. E-DOSE60 is expected to be developed while incorporating the identified improvements from K-DOSE60, in response to emission plan licensing and regulatory guideline revisions. Key improvements include revisions to dose assessment methodologies for H-13 and C-14 following IAEA TRS-472, expansion of dose assessment points, and changes in socio-environmental factors. Furthermore, data such as site meteorological information and releases of radioactive substances in liquid and gaseous forms can be linked through a network, reducing the potential for human errors caused by manual data entry. Ultimately, E-DOSE60 is expected to optimize resident exposure dose assessment and enhance public trust in NPP operation.

In order to evaluate the exposure dose of residents living near nuclear power plants, a Off-site Dose Calculation Program (ODCP) has been developed based on SAP since 2021. The ODCP consists of social environmental factor, atmospheric diffusion factors, liquid/gas dose evaluation, and comprehensive analysis, and was developed by dividing it into functional modules. The offsite dose calculation can be carried out monthly, quarterly, semi-annual, and annual, and resident dose evaluation is conducted by entering air diffusion factors and emissions for each period. It also enables comprehensive evaluation result management by developing history management functions together.

With the importance of permanent disposal of high-level radioactive waste (HLW) generated in Korea, the deep geological disposal system based on the KBS-3 type is being developed. Since the deep geological repository must provide the long-term isolation of HLW from the surface environment and normal habitats for humans, plants, and animals, it is essential to assess the longterm performance of the disposal facility considering thermal-hydraulic-mechanical-chemical (TH- M-C) evolution. Decay heat dissipated from HLW contained in the canister causes an increase in temperature in the adjacent area. The requirement for the maximum temperature is established in consideration of the possibility of bentonite degradation. Therefore, when designing the repository, the temperature in the region of interest should be identified in detail through the thermal evolution assessment to ensure that the design requirement is satisfied. In the thermal evolution analysis, it is needed to evaluate the temperature distribution over the entire area of the disposal panel to consider the heat generated from both a single canister and adjacent canisters. Computational fluid dynamics (CFD) codes are widely used for detailed temperature analysis but are limited to simulating a wide range. Accordingly, in this study, we developed an analytical solution-based program for efficiently calculating the temperature distribution throughout the deposition panel, which is based on threedimensional heat conduction equations. The code developed can assess the temperature distribution of engineered and natural barrier systems. Principal parameters to be inputted are as follows: (a) geometry of the panel (e.g. width, length, height, spacing between canisters), (b) geometry of the canister (e.g. diameter, height), (c) thermal properties of bentonite and host-rock, (d) initial conditions (e.g. residual heat, temperature), and (e) time information (e.g. canister emplacement rate, time-interval, period). Through the calculation for the conceptual problem of a deposition panel capable of accommodating 900 (i.e. 30×30) canisters, it was confirmed that the program can adequately predict when and where the maximum temperature will occur. It is expected that the overall temperature distribution within the panel can be obtained by the evaluation of the entire region using this program reflecting the detailed design of the repository to be developed in the future. In addition, the thermal evolution analysis considering the influence of other canisters can be performed by applying the results as boundary conditions in the CFD analysis.

본 연구의 목적은 긍정조직 구축을 위한 강점기반 코칭프로그램을 개발하여 콜센터 조직의 긍정성을 높이는 데 있다. 본 연구에서는 문헌고찰, 콜센터 상담사의 조직에 대한 긍정성 인식 및 요구 도 조사를 기반으로 프로그램의 시안을 개발하였고, 전문가의 적절성 및 예비연 구를 통해 프로그램의 최종안을 개발하였다. 본 연구에서 개발된 프로그램은 긍 정적인 조직이 형성되는 요인인 긍정정서 확장, 긍정정서 탐구, 긍정정서 활용, 긍정적 관계형성을 위한 활동으로 14회기로 구성하였다. 교육내용은 긍정조직 구축을 지원할 수 있도록 강의, 강점진단, 코칭실습 등 다양한 방법들을 도입하 고, 경청, 질문, 인정과 피드백 등의 코칭기술을 세부 내용에 맞게 적용하였다. 본 연구에서 개발한 긍정조직 구축을 위한 코칭프로그램은 긍정심리 강점을 활용한 프로그램 내용과 방법의 기초연구로서, 코칭스킬과 코칭대화 모델을 접 목한 코칭프로그램을 개발하여 긍정조직 구축을 위한 조직 구성원의 역량을 강 화시켰다는 점에서 의의가 있다.

유방암수술은 환자의 생존율을 높이지만 환자의 수술부위 통증, 상지근육의 변 화나 불균형 등의 체형변화뿐 아니라 재발에 대한 두려움, 자아존중감 저하와 우 울, 불안, 분노, 스트레스 등의 심리적 증상마저 유발할 수 있다. 그래서 유방암환 자를 위한 심신중재 프로그램의 개발이 필요하다. 이 프로그램의 1~3회기에는 단 축되거나 긴장된 부위의 자각훈련과 호흡훈련으로 구성되는 경견완부위 통증유발 점 스트레칭 요가체위가 실시된다. 4~8회기에는 통증유발점의 긴장부위를 자각하 는 훈련과 체형유지를 위한 주요근육을 강화하는 요가체위가 실시된다. 유도된 심 상 프로그램의 1~3회기에는 호흡과 신체자각, 심장박동소리듣기, 빛 명상이 실시 되고, 4~7회기에는 통증부위 빛 명상이 심화되며, 마지막 8회기는 임종명상으로 마무리된다. 유방암환자의 몸통 및 상지근육의 변화와 그에 동반되는 통증을 경감 시킬 수 있는 요가와 유도된 심상법으로 구성되는 자연치유요가 심신중재 프로그 램 개발을 위한 본 논문의 사례연구는 고유수용감각 훈련과 내수용감각 훈련을 설계하는 데 유용하다. 유방암수술을 받고 이 프로그램에 참가한 환자의 목과 어깨통증은 경감되었고 근육 밸런스는 회복되었으며 수술 후 방사선치료 등을 받으 며 느낀 공포와 불안감은 감소되었고 삶의 질이 향상되었으며 죽음에 대한 인식 도 변했다.

The US NRC developed a program called NRCDose3 to evaluates the environmental impact of radiation around nuclear facilities. The NRCDose3 code is a software suite that integrates the functionality of three individual LADTAP II, GASPAR II, and XOQDOQ Fortran codes that were developed by the NRC in the 1980’s and have been in use by the nuclear industry and the NRC staff for assessments of liquid effluent and gaseous effluent, and meteorological transport and dispersion, respectively. Through the integrated program, it is possible to conduct safety assessment and environmental impact assessment from liquid and gaseous effluent when operating permits are granted. In addition to a more user-friendly graphic user interface (GUI) for inputting data, significant changes have been made to the data management and operation to support expanded capabilities. The basic calculation methods of the LADTAP II, GASPAR II, and XOQDOQ have not been changed with this update to the NRCDose3 code. Several features have been added. The previous program used only ICRP-2 dose conversion factor, but the new program can additionally use dose conversion factor of ICRP-30 and ICRP-72. In the previous program, 4 age groups (infant, child, teen, and adult) were evaluated during dose evaluation, but when ICRP-72 was selected, 6 age groups (infant, 1-year, 5-year, 10-year, 15-year, and adult) could be evaluated. In addition, when selecting ICRP-72, many user-modifiable parameters such as food intake and exposure time were added. It will be referred to E-DOSE60, a program currently under development.

Purpose: This study explored illness experiences and the demands for a health-related program tailored to individuals with chronic disease at one of the Korean Seon Centers. It also utilized this information as foundational data for developing a program tailored to their needs. Methods: The study utilized focus group interviews to collect data from members of one of the Korean Seon centers who have chronic disease, regarding their illness experiences and their expectations for disease management programs. The collected data was then analyzed using the qualitative content analysis method. Results: The analysis yielded five overarching themes and 14 subthemes. These themes included opposing responses to disease diagnosis, reflections on the causes of disease, efforts toward disease recovery, obstacles to disease recovery, and the need for a customized disease management program. Conclusion: The findings highlighted the challenges the participants faced in their disease recovery process. They expressed a strong desire for a comprehensive management program that incorporates in-depth information, experience sharing, and education. Such a program would empower individuals to take control of their physical and mental well-being.

To analyze the status and needs of the small- and medium-sized garment manufacturing industry in Busan, this study comprised an online survey of companies and interviews with 14 representatives of the 98 companies. The results are as follows: Approximately 34.7% of the garment manufacturers were located in Geumjeong-gu, Busan. The most common type of work was the contracting factory type. Daily production output was between 100pcs and 300pcs. Production materials comprised 42.9% woven and 24.8% knitted fabrics. Main products were menswear, uniforms, womenswear, casual wear, sports and leisure wear, protective clothes, and children’s clothing. The main clients were uniform companies, main factories, wholesale markets, online shopping malls and promotion companies, exporters, and department stores. As a result of a survey on industrial needs with company representatives, their satisfaction with company employees was 57.2%, and the most important factor when hiring employees was job-related competencies, among which the ability to understand the sewing process was the most necessary. In terms of computer software literacy, illustrations and pattern CAD/CAM are required. They thought industry-university cooperation is crucial for advantage for advantage research and product development, as it allows for the sharing knowledge, resources, and especially human resources. The greatest administrative issue were human resources and funding.

Recently, research on prediction algorithms using deep learning has been actively conducted. In addition, algorithmic trading (auto-trading) based on predictive power of artificial intelligence is also becoming one of the main investment methods in stock trading field, building its own history. Since the possibility of human error is blocked at source and traded mechanically according to the conditions, it is likely to be more profitable than humans in the long run. In particular, for the virtual currency market at least for now, unlike stocks, it is not possible to evaluate the intrinsic value of each cryptocurrencies. So it is far effective to approach them with technical analysis and cryptocurrency market might be the field that the performance of algorithmic trading can be maximized. Currently, the most commonly used artificial intelligence method for financial time series data analysis and forecasting is Long short-term memory(LSTM). However, even t4he LSTM also has deficiencies which constrain its widespread use. Therefore, many improvements are needed in the design of forecasting and investment algorithms in order to increase its utilization in actual investment situations. Meanwhile, Prophet, an artificial intelligence algorithm developed by Facebook (META) in 2017, is used to predict stock and cryptocurrency prices with high prediction accuracy. In particular, it is evaluated that Prophet predicts the price of virtual currencies better than that of stocks. In this study, we aim to show Prophet's virtual currency price prediction accuracy is higher than existing deep learning-based time series prediction method. In addition, we execute mock investment with Prophet predicted value. Evaluating the final value at the end of the investment, most of tested coins exceeded the initial investment recording a positive profit. In future research, we continue to test other coins to determine whether there is a significant difference in the predictive power by coin and therefore can establish investment strategies.

This study analyzes traditional women’s Hu costumes of the Tang dynasty, and deploys a creative fashion design to converge contemporary and traditional styles. In this costume, women wear a robe with striped or plain patterns in the lower part of the pants, and it appears frequently in red and yellow colors. Depending on the sleeve, it is either a round collar or a turn down collar robe. In the Hu hat, the huntuomao and juanyanxumao were leather and mili and weimao were used to prevent the sand from flowing. This study uses the CLO 3D program with the “moment” theme based on the Hu costume for women to deploy 4 pairs of fashion design and to produce works for 2 pairs. The 3D virtual clothing program demonstrates important effects in design deployment and pattern arrangement through its efficiency and convenience of clothing production. The CLO 3D program was closely combined with the 2D design and the 3D affect, and it heightened the efficiency in saving the processing time and energy of the sample clothes. Through facilitating the 3D digital fashion design, the production may reduce time needed and contribute to an effective economy, and it may compare digital fashion design to actual products as well as illustrate the potential of digital fashion design.

In school safety education, it was difficult to apply how to link the safety education according to grades year, and student’s interest was reduced due to the repetition of existing safety education contents and the absence of new teaching methods and tools. In this study, as a new type of safety education, a performance forms fire safety education program was developed. This program aims to increase students’ interest and satisfaction in safety education, and to this end, it was connect with korean elementary science curriculum and combined various engineering teaching materials or tools and methods. Developed program was applied to 2,231 students, 25 schools in 10 regions of Gyeonggi-do and surveyed 476 fifth and sixth grade students program satisfaction and 3 factors of interest in fire safety education who could respond to the survey. As a result of applying the program, more than 90% of students responded more than 'satisfied' in all areas. and statistical test(independent t-test and non-parametric test) indicates over-all satisfaction and interest factors in the program are high regardless of gender and grade, so the effectiveness can be guessed indirectly and there is a universal applicability also. Moreover, examining the influence of student interest level in the satisfaction of the fire safety program, it was found that in order to increase the satisfaction of fire safety education, students should have more fun with the content and feel interest in the teacher's teaching method or explanation.

Purpose: This study aimed to develop a faculty development program for nursing simulation on perceived knowledge, confidence, and competence, and then evaluate its effects. Method: A one-group pretest–posttest design was used. The eight-hour program covered simulation education theory, scenario design and development, simulation design and operation using patient simulators and standardized patients, debriefing, curriculum integration, simulation evaluation, and faculty development. Thirty-eight participants completed a self-administered questionnaire. Data were collected in August 2021. The study used paired t-tests to analyze differences in perceived knowledge, confidence, and competence before and after the application of the program. Results: The participants were generally satisfied with this program. The results indicated that knowledge, confidence, and competence for nursing simulation significantly improved. Conclusion: The faculty development program positively affected simulation instructors’ knowledge, skill, and attitude. Therefore, this validated and standardized training program can be used for training simulation faculty members at universities and institutions. It can not only reduce the cost and effort required for faculty development at each university but also ultimately contribute to the spread of nursing simulation.

본 연구는 유아기 부모역량 강화를 위한 비대면 부모코칭프로그램을 개발하 고 유아기 부모에게 실시한 후 프로그램의 효과를 검증하는 데 그 목적이 있다. 이를 위한 절차로 문헌 고찰과 요구도 조사를 통해 프로그램의 기초를 설계하였 고, 전문가 타당도 검토를 통해 수정·보완하여 최종 프로그램을 개발하였다. 부 모역량은 자녀를 양육하고, 부모가 자신의 안녕감과 행복을 위해 자신을 돌보고 관리하며 사회인으로서 사회에 적응하며 다양한 정보를 활용하는 능력을 뜻한 다. 본 프로그램은 10명의 부모와 개별로 온라인플랫폼 상에서 만나 진행되었으 며, 총 10회기, 주 1회, 한 회기당 1시간 30분으로 진행되었다. 사전·사후·추후 검사를 통해 프로그램의 효과를 검증하였다. 본 연구의 결과는 다음과 같다. 첫 째, 유아기 부모역량 강화를 위한 비대면 부모코칭프로그램을 개발하였다. 둘째, 유아기 부모역량 강화 비대면 부모코칭프로그램은 부모의 다중역량을 유의미하 게 증가시켰다. 셋째, 유아기 부모역량 강화 비대면 부모코칭프로그램은 부모의 해결중심 사고를 유의미하게 증가시켰고 유지됨이 확인되었다. 넷째, 유아기 부 모역량 강화 비대면 부모코칭프로그램은 부모의 통찰을 유의미하게 증가시켰으 며, 이후에도 유지됨을 확인하였다. 다섯째, 유아기 부모역량 강화 비대면 부모 코칭프로그램은 양육 스트레스를 감소시켰다