This study investigated speaking anxiety among advanced Korean language learners in Korean Language Institution classrooms, and the strategies they used to overcome it. The study employed qualitative methodology using online interviews for data collection. The sampling technique involved purposive sampling by selecting 13 Korean learners who had completed an advanced Korean course at TOPIK Levels 5 or 6, with Level 6 being the highest. The interview questions addressed various aspects, including comparisons of speaking skills, anxiety in Korean classrooms, fear of making mistakes, concerns about classmates’ reactions, and anxiety induced by teachers. Thematic analysis was performed by generating initial codes, grouping related codes to uncover potential themes, and highlighting recurring patterns in the participants’ responses. The results revealed three factors that contribute to speaking anxiety: personal reasons, teachers’ classroom approaches, and teaching methods. Advanced learners manage anxiety through three coping strategies: preparation, positive thinking, and seeking support from peers. The study concludes with discussions on the pedagogical implications, limitations, and recommendations for future research in advanced Korean language learning classrooms.

The objectives of this study is to classify evacuation types, derive the characteristics of 4 types, develop and discover evacuation routes within the performance hall space, and present the statistical classification results of the evacuation classification model by classification type. To achieve this purpose, the characteristics of each evacuation type's four types are applied through a network reliability analysis method and utilized for institutional improvement and policy. This study applies for the building law, evacuation and relief safety standards when establishing a performance hall safety management plan, and reflects it in safety-related laws, safety standards, and policy systems. Statistical data by evacuation type were analyzed, and measurement characteristics were compared and analyzed by evacuation types. Evaluate the morphological similarity and reliability of evacuation types according to door width and passage length and propose the install position of evacuation guidance sign boards. The results of this study are expected to be used as basic data to provide operation strategies for safety facility evacuation information sign boards according to evacuation route classification types when taking a safety management plan. The operation strategy for the evacuation sign boards installation that integrates employee guidance and safety training is applied to the performance hall safety management plan. It will contribute to establishing an operational strategy for performance space safety when constructing performance facilities in the future.

PURPOSES : The objective of this study was to review roadway management strategies that can be utilized in the event of a radiological emergency, select feasible alternatives, and simulate a portion of the West Coast network to analyze the effectiveness of these strategies. METHODS : The methodology of the study involved reviewing the relevant literature, extracting the implications, establishing an analysis procedure, and selecting an effectiveness evaluation scale. Using a national transportation database, a network was constructed using Toba, a macroscopic model. RESULTS : A reverse-flow lane system was applied to the West Coast Expressway Glory IC–Hampyeong IC (total 25 km), and a plan to increase the number of lanes was applied to the Seokgyo Street–Shinpyeong Intersection on National Route 23 (total extension 28 km). Consequently, both road management strategies were found to be effective. CONCLUSIONS : This study examined roadway management strategies that can be utilized in the event of a radiological emergency, selected feasible alternatives, and simulated a portion of the West Coast network to verify the effectiveness of these strategies. In the case of reverse flow lanes, it is most effective when applied to expressways that can restrict the entrance and exit of vehicles. In the case of increasing the number of lanes, it is most effective when applied to general roads, and institutional arrangements should be made to enable two-way traffic to use the reserved shoulder lanes.

세계 각국은 온실가스 배출을 줄이기 위하여 활발한 노력을 하고 있다. 한국도 노후화된 석탄발전을 폐지하고 LNG 발전으로 전환하는 정책을 추진하고 있다. 그러나, 한국은 가스터빈 제작 기술이 국산화되지 않아서 해외 제작사로부터 전량 수입하여 설치하고 있다. 따라서, 본 논고에서는 가스터빈 발전산업에 대한 국내·외 환경을 살펴보고, 이를 기반으로 PEST-SWOT-AHP 방법론을 적용하여 한국형 가스터빈 기술개발 및 보급 확대 추진전략을 제안하였다. 연구결과, 한국형 가스터빈 기술개발과 보급 확대 전략은 1) 가스터빈 기술개발 및 사업화 촉진을 위한 발전공기업의 역할 강화, 2) 온실가스 감축을 위한 LNG 발전 비중 확대, 3) 정부의 적극적인 가스터빈 산업 생태계 조성 노력, 4) LNG 발전소 건설에 대한 국민 공감대 형성 등으로 요약할 수 있다.

본 연구는 한국과 베트남의 장례식 조문 답례 담화에 대한 비교 분석을 목적으로 한다. 그 결과 한국은 고인과 저자의 관계 지향 적인 성격을 지닌 반면 베트남은 고인의 죽음에 대한 사실 정보 전달 의 성격을 지니고 있는 것으로 조사되었다. 또 한국 담화가 조문과 부 의라는 지원 요소에 감사를 하고 있는 것과 달리 베트남 담화에서는 감사한 대상을 나열하는 방식으로 감사를 표현하고 있었고, 양해 구하 기에 있어서도 한국은 찾아뵙지 못한 것에 대한 양해를 구한 반면, 베 트남은 혹시 모를 부주의에 대한 양해를 구하는 차이를 보이는 것으 로 나타났다.

Similar to Sumerian proto-cuneiform writing, the nature of Chinese writing is fundamentally ideographic, in which concepts or thoughts are represented visually rather than through abstract speech sounds. This paper explores ten ways to form Chinese characters by using the decoded characters through their ideograms. A character comes from thoughts, the thoughts come from images, and the images themselves come from the object or the event depicted. Therefore, the same character can be used in different dialects or languages to depict the same concepts. Only when there are enough ideograms to create their graphs for phonography can we develop phonography. During the first stage of hundreds of years, most Sumerian clay characters were pictograms and ideograms. The majority of the phono-semantic compounds appeared in the second stage when the foreign Akkadians used Sumerian characters. Just as the majority of Shang bone characters were pictograms and ideograms, most phono-semantic compound characters were modified and created by the foreign Zhou people later. At present, western theories have not followed the traditional path to the meaning of thought. The ten strategies of ideographic writing are the conventional path to the meaning of thought, rather than a bridge between language.

This study endeavors to enrich investment prospects in cryptocurrency by establishing a rationale for investment decisions. The primary objective involves evaluating the predictability of four prominent cryptocurrencies – Bitcoin, Ethereum, Litecoin, and EOS – and scrutinizing the efficacy of trading strategies developed based on the prediction model. To identify the most effective prediction model for each cryptocurrency annually, we employed three methodologies – AutoRegressive Integrated Moving Average (ARIMA), Long Short-Term Memory (LSTM), and Prophet – representing traditional statistics and artificial intelligence. These methods were applied across diverse periods and time intervals. The result suggested that Prophet trained on the previous 28 days' price history at 15-minute intervals generally yielded the highest performance. The results were validated through a random selection of 100 days (20 target dates per year) spanning from January 1st, 2018, to December 31st, 2022. The trading strategies were formulated based on the optimal-performing prediction model, grounded in the simple principle of assigning greater weight to more predictable assets. When the forecasting model indicates an upward trend, it is recommended to acquire the cryptocurrency with the investment amount determined by its performance. Experimental results consistently demonstrated that the proposed trading strategy yields higher returns compared to an equal portfolio employing a buy-and-hold strategy. The cryptocurrency trading model introduced in this paper carries two significant implications. Firstly, it facilitates the evolution of cryptocurrencies from speculative assets to investment instruments. Secondly, it plays a crucial role in advancing deep learning- based investment strategies by providing sound evidence for portfolio allocation. This addresses the black box issue, a notable weakness in deep learning, offering increased transparency to the model.

In supply chain, most partners except the top level suppliers have inbound and outbound logistics. For example, toll manufacturing companies get unprocessed materials from a requesting company and send the processed materials back to the company after toll processing. Accordingly, those companies have inbound and outbound transportation costs in their total logistics costs. For many cases, the company may make the schedule of distributions by considering only the due delivery dates. However, the inbound and outbound transportation costs could significantly affect the total logistics costs. Thus, this paper considers the inbound and outbound transportation costs to find the optimal distribution plans. In addition, we have considered the inventory holding costs as well with transportation costs. From the experimental results, we have provided the optimal strategies for the distributions of replenishment as well as deliveries.

This study investigated the effects of multisensory memory strategies of pairing visual and aural learning strategies of aural lexical advance organizers (LAO) and read-alouds on 146 Korean high school students learning the meaning and pronunciation of 18 unfamiliar English words. In this quasi-experimental design, the control group learned the words on a single mode of written LAO and silent reading as opposed to two treatment groups of aural LAO and silent reading, and of aural LAO and read-alouds, respectively. The effects were tested three times via pre-, post-(immediately after learning), and delayed (30 days later) tests. The immediate and long-term effects were examined by detecting the differences across the three groups in post- and delayed-tests by one-way ANOVA, and the retention of effects was examined by paired t-tests in each group across the three tests. The results indicated that pairing aural LAO and read-aloud strategies was most effective in learning and retention of both vocabulary meaning and pronunciation.

PURPOSES : This study evaluates the effectiveness of traffic flow optimization when giving safety strategy guidance to a connected autonomous vehicle (CAV) based on information received through infrastructure cooperation in a V2X environment for non-signal intersection. METHODS : To evaluate the effectiveness of safety strategy guidance based on developed traffic flow control algorithm at a non-signalized intersection, it was implemented on simulation. A scenario based on the Level of Service (LOS) and the market penetration rate(MPR) of autonomous vehicles was established. The simulation results were divided into safety, operation, and environment to evaluate the effect, and the effect of optimizing traffic flow was finally derived through the integrated evaluation score. RESULTS : As a result, when safety strategy guidance was provided, the number of conflicts and CO emissions decreased by about 29% and about 15%, improving safety and environmental performance. In the case of operation, the mean of delay time was increased overall by 1%, but in the case of MPR 50 and above, the delay time was reduced by about 38%, thereby increasing operation. Finally, the aspect of traffic flow optimization, effectiveness of safety strategy guidance was derived through the integrated evaluation score, and the average integrated evaluation score improved from MPR 20 or higher. CONCLUSIONS : Providing guidance had the effect of optimizing traffic flow at a non-signal intersection. In the future, V2X communications will provide CAV with algorithm-based guidance developed in this study to control driving behavior. it will support safe and efficient driving at non-signal intersections.

This study explores strategies to expand Korea's top 10 seafood export in the oversea market, with a specific focus on the impact of export concentration. For certain seafood items such as laver, crab, and mackerel, characterized by low export concentration, adopting a focused export expansion strategy is more effective. Conversely, highly concentrated seafood items such as toothfish, cod, pollack, and abalone face high risks in export performance due to their heavy reliance on a small number of key export countries. To ensure export stability, it is advisable to implement a diversified export expansion strategy for these highly concentrated seafood items. In the case of medium-concentration seafood items like tuna, oyster, and flounder, the decision between a concentrated or diversified strategy should be based on their specific export situations. Tailoring strategies to the distinctive market characteristics of each seafood item enables exporters to effectively increase oversea market share, promoting stability and sustained growth in export performance.

본 연구는 성격 기질 중 보호자 기질을 대상으로 원예활동 선호를 확인하고, 이에 기반으로 원예활동 프로그램 계획 시 대상자 맞춤 프로그램 구성 전략을 도출하고자 실시하였다. 설문은 2019년 4월부터 6월까지 대학생이나 대학원생 705명에게 실시하였고, 그 중 성격 기질이 보호자 기질로 나타난 335명의 결과를 이용하였다. 설문 내용은 원예에 대한 인식, 원예 활동 경험에 대한 선호, 원예 활동 유형별 선호 등으로 구성되어있으며, 설문 결과는 IBM SPSS 25 통계 프로그램을 이용하여 빈도분석, 기술통계, 회귀 분석, IPA 분석 등을 실시하여 분석하였다. 그 결과 원예에 대한 인식과 경험 여부 및 원예 활동에 관한 관심은 전반적으로 긍정적인 것으로 확인되었다. 원예 활동 유형별로 가장 많이 선호하는 활동 유형은 ‘공예 및 요리’, 가장 많이 선호하지 않는 활동은 ‘자연 학습 및 채집’이었고, 선호도 및 관심도가 가장 높은 활동 유형은 ‘직접 자연 느끼기’였다. 회귀 분석을 통한 원예 활동 선호 영향력과 IPA 전략 분석 결과 보호자 기질을 가진 대상에게 원예 활동 프로그램을 구성할 때는 가장 중요한 실행 요인으로 선호에 영향을 미치는 ‘실내 조원’, ‘실외 조원’ 및 ‘직접 자연 느끼기’ 유형의 활동을 기반으로 한 프로그램을 구성하고, 여기에 기본요인으로 대상자들의 활동 만족도를 제고시키기 위하여 ‘공예 및 요리’ 유형의 활동을 주 프로그램과 함께 부가적인 프로그램으로 추가해주는 것이 적합할 것으로 나타났다.

본 연구는 중국 허베이성 소재 정정고성(正定古城)을 사례로 경관문맥 보전 및 형성을 위한 지표 도출 을 목적으로 수행되었다. 이를 위해 문헌 및 관찰조사, 전문가를 대상으로 한 Delphi법과 AHP법 그리고 탐방객을 대상으로 한 IPA법에 의해 고성의 경관문맥 보전 및 형성전략을 주도할 지표를 추출하였다. 문화경관 보전이라는 핵심쟁점에 대해 경관문맥의 관점에서 종합하고 평가하여 문화경관의 보전전략 과 발전방향을 모색한 결과 시간 차원의 ‘중층성(重層性)’과 공간 차원의 ‘융합성(融合性)’이라는 2개 상위지표가 경관문맥의 의미와 기본 속성에 최적화된 개념으로 부상되었으며, 각각의 가중치는 0.620 과 0.379로 드러났다. 중요도와 만족도 구분없이 경관의 심미성과 시대적 연속성은 정정고성의 경관문 맥을 주도하는 중요지표로 부상되었으며, AHP가중치와 IPA중요도치의 통합분석 결과 경관 풍격의 연 속성과 경관 독특성의 하위지표는 정정고성의 장소정체성 요인으로 전문가와 탐방객에게 인식되고 있었다. 특히 ‘고성 정신과의 일관성’ 지표야말로 고성경관의 현상유지는 물론 전승해야 할 최고의 정 신문화임이 밝혀졌다.

본 연구는 유럽연합(EU)의 환경문제와 섬유패션산업 현황을 바탕으로 스페인의 탄소배출 절감 노력과 인디텍스 그룹의 전략을 분석하였다. 특 히 인디텍스 그룹의 사례를 통해 섬유패션산업의 탄소배출 절감 전략의 효과성을 검토하며, 섬유패션산업이 어떻게 지속 가능한 방향으로 전환 될 수 있는지의 시사점을 제시하고자 한다. 특히 석유산업에 이어 두 번 째로 큰 환경 파괴원인으로 지목되는 패스트 패션의 탄소배출 문제를 조 명한다. 연간 전 세계에서 섬유패션산업은 탄소 배출량의 약 10%를 차 지하며, 이 수치는 모든 국제선 및 해상 운송의 배출량을 합친 것보다도 더 크다. 특히 패스트 패션의 생산과 유통 과정에서 발생하는 탄소배출 은 그 크기가 막대하여 지속가능성에 큰 위협을 미치고 있다. 즉, 패스트 패션의 탄소배출 문제를 해결하기 위한 전략적 접근 방식을 제시하며, 섬유패션산업의 지속가능성 향상을 위한 핵심 요소를 도출하고자 한다.

The operation of nuclear facilities involves the potential for on-site contamination of soil, primarily resulting from pipe leaks and other operational incidents. Globally, decommissioning process for commercial nuclear power plants have revealed huge-amounts of soil waste contaminated with Cs-137, Sr-90, Co-60, and H-3. For example, Connecticut Yankee in the United States produced approximately 52,800 ton of contaminated soil waste, constituting 10% of the total waste generated during its decommissioning. Environmental remediation costs associated with nuclear decommissioning in the US averaged $60 million per unit, representing a significant 10% of the whole decommissioning expenses. Consequently, this study undertook a preliminary investigation to identify important factors for establishing a site remediation strategy based on radionuclide- and site-specific media- characteristics, focusing the efficiency enhancement for the environmental remediation. The factors considered for this investigation were categorized into physical/environmental, socioeconomic, technical, and management aspects. Physical/environmental factors contained the site characteristics, contamination levels, and environmental sensitivity, while socio-economic factors included the social concerns and economic costs. Technical and management factors included subcategories such as technical considerations, policy aspects, and management factors. Especially, technical factors were further subdivided to consider the site reuse potential, secondary waste generation by site remediation, remediation efficiency, and remediation time. Additionally, our study focused the key factors that facilitate the systematic planning for the site remediation, considering the distribution coefficient (Kd) and hydrogeological characteristics associated with each radionuclide in specific site conditions. Therefore, key factors in this study focus the geochemical characteristics of site media including the particle size distribution, chemical composition, organic and inorganic constituents, and soil moisture content. Moreover, the adsorption properties of site media were examined concerning the distribution coefficient (Kd) of radionuclides and their migration characteristics. Furthermore, this study supported the development of a conceptual framework, containing the remediation strategies that incorporate the mobility of radionuclides, according to the site-specific media. This conceptual framework would necessitate the spatial analysis techniques involving the whole contamination surveys and radionuclide mobility modeling data. By integrating these key factors, the study provides the selection and simulation of optimal remediation methods, ultimately offering the estimated amounts of radioactive waste and its disposal costs. Therefore, these key factors offer foundational insights for designing the site remediation strategies according the sitespecific information such as the distribution coefficient (Kd) and hydrogeological characteristics.

In nuclear power plant (NPP) decommissioning, ventilation and purification of the building atmosphere are important to create a working environment, ensure worker safety, and prevent the release of gaseous radioactive materials into the environment. The heating, ventilation, and air conditioning (HVAC) system of each building is maintained, modified, or newly installed. In this study, based on APR1400, operation strategies were presented in case of ventilation abnormalities in the reactor containment building (RCB), where highly radioactive particles and high dust are most frequently generated during NPP decommissioning. For research, it was assumed that the entire RCB atmospheric ventilation during decommissioning would use the RCB purge system of the existing NPP and perform continuous ventilation. Additionally, it is assumed that areas where high radiation particles and high dust occur locally, such as reactor containers or internal segments, are sealed with tents and purified using a HEFA filter of a temporary portable HVAC, and a exhaust flow path is connected to the discharge duct of the existing RCB purge system. The possibility of abnormal occurrence was largely divided into two cases. First, when large amounts of uncontrolled pollutants are released into the atmosphere inside the RCB, discharge to the environment is stopped manually or automatically by a modified engineered safety function activation signal (ESFAS). Afterwards, the RCB purge system should be operated in recirculation mode to sufficiently purify the RCB atmosphere with a HEPA filter. Second, when the first train of the low volume purge system is not running due to a failure, standby train should be operated. If both low volume purge trains fail, a high volume purge system is used. Intermittent purge operation is preferred due to large capacity during high volume purge operation. In cases where it is not possible to operate all purge systems due to common issues such as power supply, atmospheric sampling is performed to determine whether to proceed with the work inside RCB.

본 연구는 대도시에서 미세먼지 없는 학교 부지를 찾는 Model Eliciting Activity (이하 MEA) 활동을 통해 고 등학교 학생들의 문제 해결 특성을 조사하기 위한 것이다. 5차시로 개발된 MEA 활동에 79명의 고등학교 2학년 학생 들이 참여 하였으며, MEA 활동지를 주요 데이터로 수집하였다. 학생들이 작성한 활동지의 개방형 질문에 대한 답을 기반으로 학생들의 문제 해결 모델을 귀납적 및 질적 방법으로 분석하였다. 먼저 학생들이 다른 데이터보다 어떤 데이 터를 우선적으로 사용했는지 순서를 분석한 후 주어진 데이터 세트를 어떻게 상호 연결하여 순서를 결정하는지 분석하 였다. 분석결과 학생들은 미세먼지 배출량이 많은 곳을 기피하기 위해 미세먼지 배출농도, 산업단지 분포 등 미세먼지 와 직접적으로 관련된 데이터를 먼저 활용하는 경향이 있음을 알 수 있었다. 흥미롭게도 MEA 활동에서 고등학생의 문 제 해결 특성은 매우 다양하여 76명의 학생이 총 61가지 유형의 문제 해결 모델을 제작한 것으로 나타났다. 문제를 해 결하기 위해 동일한 순서의 데이터를 사용하는 학생의 최대 수는 6명으로 학생들의 문제 해결 방법은 매우 다양함을 보여준다. 그러나 공통적으로 미세먼지 농도가 높은 곳을 제외하는 방법으로 미세먼지 배출과 직접적으로 관련된 데이 터를 먼저 선택하는 특성을 보였다.