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

Gamma spectrometry is one of the main analysis methods used to obtain information about unknown radioactive materials. In gamma-ray energy spectrometry, even for the same gamma-ray spectrum, the analysis results may be slightly different depending on the skill of the analyst. Therefore, it is important to increase the proficiency of the analyst in order to derive accurate analysis results. This paper describes the development of the virtual spectrum simulator program for gamma spectrometry training. This simulator program consists of an instructor module and trainee module program based on an integrated server, in which the instructor transmits a virtual spectrum of arbitrarily specified measurement conditions to the students, allowing each student to submit analysis results. It can reproduce a virtual gamma-ray energy spectrum based on virtual reality and augmented reality technique and includes analysis function for the spectrum, allowing users to experience realistic measurement and analysis online. The virtual gamma-ray energy spectrum DB program manages a database including theoretical data obtained by Monte Carlo simulation and actual measured data, which are the basis for creating a virtual spectrum. The currently developed database contains data on HPGe laboratory measurement as well as in-situ measurements (ground surface, decommissioned facility wall, radiowaste drum) of portable HPGe detectors, LaBr3(Ce) detector and NaI detector. The analysis function can be applied not only to the virtual spectrum, but also to the input measured spectrum. The parameters of the peak analysis algorithm are customizable so that even low-resolution spectra can be properly analyzed. The validity of the database and analysis algorithm was verified by comparing with the results derived by the existing analysis programs. In the future, the application of various in-situ gamma spectrometers will be implemented to improve the profiling of the depth distribution of deposited nuclides through dose rate assessment, and the applicability of the completed simulator in actual in-situ gamma spectrometry will be verified.

3D modeling is a technology for representing real objects in a virtual 3D space or modeling and reproducing the physical environment. 2D drawings for viewing the existing building structure have limitations that make it difficult to understand the structure. By implementing this 3D modeling, specific visualization became possible. 3D technology is being applied in a wide range of preevaluation work required for nuclear decommissioning. In Slovakia, 3D modeling was applied to determine the optimal cutting strategy for the primary circuit before dismantling the VVER type Bohunice V1. In Japan, the Decommissioning Engineering Support System (DEXUS) program has been developed that incorporates VRDose, a decommissioning engineering support system based on 3D CAD models. Through this, the cutting length of the work object and the quantity of containers for packaging waste are calculated, exposure dose calculations in various dismantling scenarios, and cost estimation are performed. Korea also used 3D technology to evaluate the decommissioning waste volume for Kori Unit 1 and to evaluate the optimal scenario of the decommissioning process procedure for the research reactor Unit 1. 3D technology is currently being used in various pre-decommissioning evaluations for VVER, PWR, and research reactors. Overseas, a program that matches various decommissioning pre-evaluation tasks with cost estimation has also been developed. However, most 3D technologies are mainly used as a support system for dose evaluation and amount of decommissioning waste calculation. In this study, 3D modeling was performed on the PHWR structure, and physical and radiological information about the structure was provided. The information on the structure can present the unit cost for the work object by confirming the standard of the applied unit cost factor (UCF). The UCF presents the unit cost for repeated decommissioning operations. The decommissioning cost of the work object can be obtained by multiplying the UCF by the number of repetitions of the work. If the results of this study are combined with the process evaluation and waste quantity estimation performed in previous studies, it is judged that it will be helpful in developing an integrated NPP decommissioning program that requires preliminary evaluation of various tasks. In addition, it is judged that a clear cost estimation of the object to be evaluated will be possible by matching the 3D work object with the UCF.

In this study, to develop and verify the Jeju-type groundwater thermal system design program, the energy consumption and system performance derived by input into the design program based on the load calculated on the demonstration site and the groundwater temperature were compared and analyzed with the actual measured values. The theoretical values ​​of energy consumption and heating and cooling COP ​​obtained through the Jeju-type groundwater thermal system design program were 11.24kW, 5.28 for heating, 13.31kW, 3.94 for cooling respectively. The measured values ​​of energy consumption and COP of the Jeju-type groundwater thermal system were 3967.2kW and 4.5, respectively. The error between the theoretical value and the measured value obtained through the design program is 0% and 2.39%, respectively. The errors that occur in the predicted values ​​and the actual values ​​are due to variables that are ignored in the system assumptions. If users consider errors and use it when designing groundwater thermal systems, they can estimate the cost of required drilling works, heat exchangers, and heat pumps and analyze economic feasibility.

목적 : 본 연구는 델파이 방법을 적용하여 지역사회에 거주하는 정상 노인의 치매 예방을 위한 비대면 인지-운동 이중과제 중재 프로그램을 개발하고자 하였다. 연구방법 : 2021년 9월부터 12월까지 연구를 진행하였으며 연구는 문헌 고찰, 인지-운동 중재 프로그램 개발, 델파이 설문조사 과정을 거쳤다. 문헌 고찰은 2021년 9월부터 10월까지 세 명의 연구자에 의해 수행되어 인지-운동 중재 프로그램을 검토하였으며 이후 1차 인지-운동 중재 프로그램을 개발하였다. 1차 델파이 설문조사는 2021년 10월부터 2021년 11월까지 진행되었다. 델파이 설문조사의 전문가 패널은 총 20명으로 두 그룹으로 나누어 기준을 설정하였으며 1그룹은 국내외 대학교 작업치료전공 교수로 재직 중이며 노인 연구를 1회 이상 수행하였거나 노인 기관에서 근무한 경험이 있는 자이며, 2그룹은 노인 작업치료 임상 경력이 5년 이상이거나 작업치료학 석사 및 박사과정 재학생인 자이다. 1차 델파이 설문조사에서 수집된 결과를 바탕으로 개발된 중재 프로그램의 수정과정이 이루어졌으며 최종적으로 12회기의 비대면 인지-운동 중재프로그램이 개발되었다. 수정된 중재 프로그램에 대해 2차 델파이 설문조사를 진행하여 최종적으로 의견을 수렴하였다. 결과 : 1차 델파이 설문조사의 결과에서는 61개 모든 항목의 content validity ratio (CVR)값은 기준값인 .5 이상이었으므로 삭제해야 할 문항은 없었다. 그러나 전문가 패널의 조언 및 의견을 수렴하여 과제의 난이도와 연결된 인지 영역을 수정했다. 2차 델파이 설문조사 결과 65개 모든 항목의 CVR값은 .7~1.0이었으며 안정도는 .5 이하로 전문가 패널의 응답이 안정적인 것으로 판단하였다. 수렴도는 .125~.5였으며 합의도는 .67~1.0였다. 결론 : 본 연구는 근거 기반의 중재를 제공하고자 문헌 고찰과 델파이 설문조사를 통해 12회기의 인지-운동 중재 프로그램을 개발하였다. 본 연구를 통해 도출된 인지-운동 중재 프로그램은 과제의 적합도, 난이도의 적절성, 인지 패러다임과 인지 영역에 대한 매칭의 타당도가 적합하였으므로 근거 중심의 중재를 제공할 수 있을 것이다.

Purpose: This study aims to investigate the effect of a simulation-based patient safety performance improvement education program on caregivers’ knowledge, attitude, and performance toward safety. Methods: This study adopted a quasi-experimental design that applied before-and-after designs for the test and control groups. It was configured focusing on “infectious disease,” “fires,” “falls,” and “drug abuse.” Results: There was a significant difference in knowledge and patient safety performance between the experimental group and the control group. However, there was no significant difference in attitudes toward safety. Conclusion: The results of this study showed that the simulation-based patient safety performance improvement education program is effective in improving patient safety performance. Therefore, it is necessary to continuously apply and evaluate the simulation-based patient safety performance training program to enable caregivers to develop professional prevention and management capabilities within elderly care facilities

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 연구는 평생학습에 참여한 코치들에게 개인의 역량 강화와 전문성을 향상 시키기 위한 ‘코치-되기’ 코칭프로그램을 개발하는 것을 목적으로 한다. 이 연구 에서는 코치들의 평생학습의 참여동기와 코칭 교육에 대한 선행연구를 근거하 여 평생학습과 참여동기의 설문조사 실시하였다. 이를 토대로 평생학습의 참여 동기에 대한 구성요소는 단기목표달성의지와 장기자아실현의지로 나타났다. 이 프로그램은 ICF 코칭핵심역량과 ACTIVE 코칭 대화 모델을 재구조화한 내용으로 기초세우기, 관계의 공동구축, 효과적인 의사소통, 학습과 성장의 4단 계로 구분하였다. 이를 토대로 전문코치 활동을 하기 위한 ‘코치-되기’ 코칭프로 그램을 개발을 모색하였다. 이는 코치의 개인 역량강화와 전문성을 내실화하여 현장에서 활용할 수 있는 기초자료로 제공하고자 한다.

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.

본 연구는 PRECEDE-PROCEED 모형을 기반으로 의무경찰을 위한 건강증진교육프로그램의 효과를 검증하였다. 연구대상자는 2018년 7월부터 10주간 D지방경찰청 의무경찰 2개 부대를 편의표집하 여 실험군25명, 대조군 26명으로 하였다. 모든 참가자는 자기 효능감, 사회적 지지, 자원이용가용성, 건강 증진행위, 삶의 질에 대한 설문지를 작성하고 객관적인 스트레스 테스트를 받았다. 실험군은 5주간 PRECEDE-PROCEED 모형에 따른 7회의 건강증진교육프로그램을 이수하였다. 자료분석은 SPSS/WIN 21.0 프로그램을 이용하여 실험군 대조군의 일반적 특성 및 건강관련 특성의 동질성 검증을 위해 카이제곱 검정과 독립표본 t-검정, Fisher's exact test을, 가설검증은 반복측정 분산분석(Repeated Measures ANOVA)을 통해 분석하였다. 연구결과, 건강증진행위(F=7.63, p<.001), 자율신경활성도(F=29.24, p<.001), 스트레스저항도(F=31.22, p<.001), 스트레스지수(F=22.42, p<.001), 피로(F=12.87, p<.001), 삶 의 질(F=3.49, p=.042)로 나타났다. 의무경찰의 건강증진교육프로그램은 삶의 질 향상에 긍정적인 효과가 있는 것으로 검증되어 의무경찰에게 유용하게 활용될 수 있을 것이다.