Recently, there have been studies on space and time priority queues, where space priorities are given to a class of packets that are sensitive to loss, and time priorities to another class of packets that are sensitive to delay. However, these studies have been restricted to such models with push-out space priorities. In this paper, we extend the studies to the space and time priority M/G/1 model with partial-buffer-sharing (PBS) space priorities, where the whole buffer is divided into two regions: one is shared by packets of all classes and the other is dedicated only for packets of the higher space-priority class. Since the PBS space-priority mechanism can be implemented more readily in communication systems than the push-out one, there have been a lot of contributions on PBS space-priority queues. However, there are no contributions on space and time priority queues with PBS space priorities. To analyze the proposed queueing model, we first study the probabilistic structure of the service time of a packet, which is more involved to analyze than the push-out alternative because it may be divided into three different regimes: a regime (S-period) from the beginning of the service until the shared buffer region becomes full, a second one (P-period) from the end of the S-period until the whole buffer becomes full, a third one (F-period) from the end of the P-period until the end of the service. Using the distributions of the S-, P-, F-periods, we then construct and analyze the embedded Markov chain and the corresponding semi-Markov process governing the system state, and also derive system performance measures such as expected sojourn times and loss probabilities of different priority classes of packets. In numerical examples, we finally explore the effect of the shared buffer size, which is a major system control parameter of PBS priority queues, and the distributions of the service times of packets of different classes on the system performance measures.

This study analyzes the language identity of a 1.5 generation Korean woman in her 30s through a qualitative research method, focusing on her journey of seeking a stable sense of belonging, and reveals its sociocultural implications. The research participant is a woman in her 30s who moved to Germany, with her family in her early teens. She chose, maintained, and strengthened her sense of belonging between Korean and German in the following ways. First, the participant held German citizenship but did not consider herself to have citizenship rights. Second, she perceived people who spoke Korean well as attractive and wanted to connect with Korea. Third, the participant utilized her Korean language skills to position herself as marked German. This study is significant in that it explores the process by which a 1.5 generation Korean woman constructs her language identities, builds a sense of belonging, and shapes her meaning of existence, thereby contributing to a deeper understanding of the various aspects of Korean diaspora.

창업역량은 기업가정신 연구의 핵심 개념이지만, 이에 대한 정의와 구성개념에 대한 학술적 합의는 부족한 실정이다. 우리 연구는 창업역량의 개념적ž조작적 정의를 체계적 으로 도출하고, 이 개념을 구성하는 하위요소 간 상대적 중요도를 조사하고자 한다. 이를 위해, 가추법적(abductive) 추론 과정으로 전문가 심층인터뷰, 델파이 조사(Delphi method), 계층구조 분석(Analytic Hierarchy Process)을 수행했다. 연구 결과, 6개의 창업역량 구성개념(재무관리, 디지털마케팅, 학습, 직원관리, 기회지향성, 고객지향성)과 36개의 측정 문항이 도출되었다. 또한, 창업역량 중 재무관리와 디지털마케팅 역량이 상대적으로 중요하고 기회지향성과 고객 지향성은 비교적 낮은 가중치를 갖는 것으로 나타났다. 이러한 연구 결과는 창업역량-경영성과 관계성 연구, 신생의 불리함 연구 등에 이론적 시사점을 제시하고, 예비창업자에게 창업역량 진단도구의 형태로 실용적 기여를 할 수 있다.

Neural machine translators (NMTs), such as Google Translate, may assist second language (L2) readers with general comprehension. However, previous empirical studies show mix ed r esults r egarding their e ffectiveness. In this study, 145 Korean English learners from a girls’ high school were asked to solve three types of reading comprehension problems (grammar judgment, inferring meaning from context, inferring main idea) under three reading conditions (no aid, MT, glossary). Overall, when using MT, reading comprehension scores were higher than in either the no aid or glossary conditions individually. However, none of the reading aid conditions improved grammar judgment. Only mid-proficiency learners benefited from MT in both inferring meaning from context and inferring main idea tasks. The results suggest that the glossary may have interrupted the flow of the reading process. With the widespread availability of MT as an online reference tool, L2 teachers should consider incorporating MT as a legitimate reading aid for different proficiency levels and reading purposes.

In recent years, electric shock accidents at industrial sites continue to occur, and various measures are being taken to reduce accidents. Among them, safety education is mentioned as a basic measure for the prevention of industrial accidents and the protection of workers. This study attempted to empirically analyze the effect of electrical safety education on safety consciousness and safety behavior and verify whether it is effective. To this end, a total of 343 people, including workplace managers and workers, were surveyed, and frequency analysis, factor analysis, reliability analysis, correlation analysis, and simple linear & hierarchical regression analysis were conducted using the SPSS 24.0 statistical program. As a result of the analysis, first, it was found that the higher the electrical safety education, the more positive (+) effect was on the safety consciousness. Second, it was found that the higher the electrical safety education, the more significant positive (+) effect was on safety behavior. Third, it was found that the higher the safety consciousness, the more positive (+) effect was on safety behavior. Finally, it was verified that safety consciousness plays a partial mediating role in the influence of electrical safety education on safety behavior.

지역방언은 해당 지역이 가지고 있는 언어 문화자원이며, 분명한 지역 성을 나타내준다. 오늘날 지역의 관심이 높아지면서 지역방언이 활용되 는 사례가 늘어나고 있다. 이에 본 연구에서는 지역방언과 브랜드디자인 의 개념과 기능을 바탕으로 브랜드태도를 알아보기 위해 선행을 통해 지 역방언 브랜드 사례 중 전라도방언을 활용한 브랜드 ’역서사소‘를 사례로 총 365명으로 설문을 시행하고, SPSS 29.0을 이용하여 분석 및 t-검정 을 실시하였으며, 가설에 관한 결과를 도출하였다. 그 결과, 지역방언을 활용한 디자인과 브랜드태도 간 관계에서, 지역방언을 활용했을 때 브랜 드태도의 영향이 높다는 분석을 통해 확인할 수 있었다. 이는 지역방언 이 특정 지역이나 집단에서 사용되는 언어의 변형으로 그 지역이나 집단 의 독특한 문화와 정체성이 반영되었으며,브랜드디자인에 지역방언을 활 용함에 따라 소비자들이 브랜드와의 강한 정서적 연결을 형성할 수 있는 지를 탐구한 것이다. 이에 본 연구에서는 지역방언을 활용한 디자인상 품에 대한 소비자들의 브랜드태도를 규명해보고자 한다.

This study aims to establish the concept of fish welfare and develop guidelines for its implementation in South Korean aquaculture. As global awareness of animal welfare grows, scientific evidence shows that fish are sentient beings capable of experiencing pain and that stress has led to increased demand for welfare standards in aquaculture. International organizations like WOAH and the EU have set welfare standards for farmed fish, emphasizing their importance for health, productivity, and food safety. However, in South Korea, fish welfare is still an emerging concept with limited research. This study systematically defines fish welfare, assesses its feasibility in domestic aquaculture, and proposes guidelines tailored to local conditions. The findings highlight the need for gradual implementation, considering the unique biological and environmental factors in fish farming.

Defective product data is often very few because it is difficult to obtain defective product data while good product data is rich in manufacturing system. One of the frequently used methods to resolve the problems caused by data imbalance is data augmentation. Data augmentation is a method of increasing data from a minor class with a small number of data to be similar to the number of data from a major class with a large number of data. BAGAN-GP uses an autoencoder in the early stage of learning to infer the distribution of the major class and minor class and initialize the weights of the GAN. To resolve the weight clipping problem where the weights are concentrated on the boundary, the gradient penalty method is applied to appropriately distribute the weights within the range. Data augmentation techniques such as SMOTE, ADASYN, and Borderline-SMOTE are linearity-based techniques that connect observations with a line segment and generate data by selecting a random point on the line segment. On the other hand, BAGAN-GP does not exhibit linearity because it generates data based on the distribution of classes. Considering the generation of data with various characteristics and rare defective data, MO1 and MO2 techniques are proposed. The data is augmented with the proposed augmentation techniques, and the performance is compared with the cases augmented with existing techniques by classifying them with MLP, SVM, and random forest. The results of MO1 is good in most cases, which is believed to be because the data was augmented more diversely by using the existing oversampling technique based on linearity and the BAGAN-GP technique based on the distribution of class data, respectively.

Despite the widespread recognition of the prominent contribution of key language subskills, such as grammar and vocabulary knowledge, to reading comprehension, a research consensus on their relative significance has not been reached. Moreover, the extent of the contribution vocabulary depth makes to reading comprehension has received little research attention. The present study assessed the relative potential contribution of vocabulary depth and grammar knowledge to advanced Korean EFL college students’ reading comprehension abilities, while controlling for their language proficiency and vocabulary breadth, through hierarchical regression analyses. 56 advanced EFL Korean college students were tested on reading comprehension abilities and a range of reading-related subskills including vocabulary breadth, vocabulary depth, grammar, and listening comprehension in English. The findings revealed the unique contribution of vocabulary depth to reading comprehension abilities beyond the effects of both vocabulary breadth and grammar knowledge when English proficiency was controlled for. The findings further underscore the need for balanced approaches in developing L2 learners’ language skills to enhance their reading comprehension abilities.

이 연구에서는 교수요목기부터 7차 교육과정에 이르기까지 초등사회과 교육과정에 나타난 금융교육 내용 요소를 분석한다. 분석 결과를 요약하면 다음과 같다. 첫째, 우리나라 초기의 교육과정에서 금융교육 관련 내용은 대체로 은행이나 조합과 같은 금융기관에 대한 이해와 절약 및 저축에 대한 강조가 주를 이루었다. 둘째, 이후 교육과정이 개정을 거듭하는 과정에 서 금융기관에 대한 이해와 절약에 대한 강조는 점차 줄어들었으며, 가정의 수입과 지출에 대한 이해와 이에 바탕을 둔 현명한 소비와 같은 가계의 재무관리 측면이 부각되는 경향을 보였다. 셋째, 교육과정이 여러 변화를 거듭하는 과정에서도 저축에 대한 강조는 약화되지 않았다. 넷째, 보험, 예금, IMF 등과 같이 일회적으로 등장했다가 사라진 금융교육 내용 요소가 있다.

아일랜드 문학의 저명한 인물인 W.B. 예이츠는 소중한 친구인 로버트 그레고리의 죽음 이후 깊은 슬픔과 실존적 의문에 직면하게 되었다. 이러한 상실은 그 의 죽음에 대한 성찰에 깊은 영향을 미쳤다. 본 논문은 로버트 그레고리 소령을 추모 하며 , 아일랜드 비행사가 그의 죽음을 예견하다 , 양치기와 염소치기 와 같이 로버 트 그레고리를 위해 쓴 예이츠의 애가를 통해 그의 복잡한 감정과 철학적 신념을 탐 구하며, 죽음과 환생이라는 주제가 이 애가들에 어떻게 반영되었는지 살펴본다. 로버 트 그레고리의 특성을 분석함으로써 숭고함과 초연함에 대한 예이츠의 인식을 엿볼 수 있으며, 이는 죽음을 바라보는 그의 독특한 관점도 제공한다. 이들 애가를 탐구하 는 것은 예이츠의 삶과 죽음에 대한 철학적 통찰을 깊이 이해하는 데 필수적이다.

This study systematically analyzed the causes of recurring electric shock accidents using accident analysis techniques and attempted to suggest implications for accident prevention. 124 electrocution death accidents that occurred from 2017 to 2022 were analyzed and classified into four factors(organizational influence, unsafe supervision, preconditions for unsafe acts, and unsafe acts) using the HFACS technique. As a result, First, in terms of organizational influence, many issues related to organizational processes were found, and the main causes were the lack of a safety management manual for electrical work, the lack of risk assessment, and the lack of safety procedures for electrical work. Second, in terms of unsafe supervision, the main causes were inappropriate operations such as not assigning a work supervisor during work or the lack of actual management and supervision. Third, in terms of preconditions for unsafe acts, the main causes were physical and technical problems such as not performing power outage work or not taking protective measures for live parts. Fourth, in terms of unsafe acts, the main causes were analyzed to be violations of safety procedures such as workers mistaking a power outage or not recognizing a current leakage condition, making a wrong judgment of the situation, and shortening the work time and working without safety measures for work convenience. Additionally, when examining whether the personal characteristics of those who died from electric shock had significant differences in unsafe behaviors, it was confirmed that there were significant differences in violations or decision-making errors depending on the industry and electrical-related major.

This study explores the utilization level of smart manufacturing systems in the value chain processes of manufacturing and empirically examines the effect of the utilization level of these systems on manufacturing competitiveness in SMEs. Smart manufacturing systems in the value chain processes are categorized into Sales, Purchasing, Production & Logistics, and Support systems. By analyzing the research model using structural equation modeling, this study identifies that Sales systems, Purchasing systems, Production & Logistics systems, and Support systems have a significant impact on manufacturing process efficiency. Additionally, Production & Logistics systems and manufacturing process efficiency positively and significantly influence manufacturing competitiveness. The findings suggest that the utilization of information is directly and positively related to manufacturing process efficiency, including reducing lead-time, decreasing work performance man-hours (M/H), and improving work accuracy. These improvements ultimately have a significant impact on manufacturing competitiveness. In conclusion, the use of smart manufacturing systems is becoming an integral part of the manufacturing industry. To gain a competitive edge, it will be necessary to introduce and utilize optimal smart manufacturing systems, taking into account the size of manufacturing firms.

The purpose of this study is to estimate the production function of the oliver flounder (Paralichthys olivaceus) aquaculture industry, analyze its efficiency, and provide implications for sustainable aquaculture. For this purpose, the SFA model was utilized. The results of this study are as follows. First, the coefficient values of labor wages and farm area are higher than other inputs. This suggests that the Korean oliver flounder aquaculture industry is labor-intensive. Second, disease management is highly influenced by management efficiency. The more frequently farms are disinfected and culled, the higher the management efficiency with culling having a greater impact on management efficiency. Finally, the cost inputs of high and low-efficiency fish farms were analyzed, and it is recommended that wages, electricity, drugs, and oxygen should be kept at a reasonable level rather than excessive. However, the higher the inputs for mortality removal and disease management, the higher the management efficiency. In other words, improving the farm environment is the most important to achieve sustainability and management efficiency of Korean oliver flounder farming.

This study aims to analyze the forest fire risk in the Gangwon region using FlamMap, a fire behavior prediction software. The research focuses on the large-scale wildfire that occurred in Gangneung on April 11, 2023. By comparing the actual fire spread data with the simulation results, the accuracy of the FlamMap model was evaluated. The actual fire exhibited a flame length of 5 to 10 meters, with a maximum of 15 meters, while the simulation predicted a range of 3.35 to 6.10 meters. The rate of spread in the actual fire reached up to 40 meters per minute, whereas the simulation forecasted a maximum of 27 meters per minute. Fireline intensity during the first 180 minutes reached 50,000 kW/m in the actual fire, while the simulation results varied between 3,500 and 25,000 kW/m, with some sections reaching up to 50,000 kW/m. Additionally, the actual fire reached nearby residential areas within 3 hours, while the simulation estimated a time range of 503 to 720 minutes. These discrepancies highlight the need for incorporating dynamic weather data and region-specific fuel conditions in future simulations for more accurate fire predictions. The findings suggest that improvements in the simulation process could enhance fire prevention and response strategies in forest fire-prone regions like Gangwon.

Recently, in the manufacturing industry, changes in various environmental conditions and constraints appear rapidly. At this time, a dispatching system that allocates work to resources at an appropriate time plays an important role in improving the speed or quality of production. In general, a rule-based static dispatching method has been widely used. However, this static approach to a dynamic production environment with uncertainty leads to several challenges, including decreased productivity, delayed delivery, and lower operating rates, etc. Therefore, a dynamic dispatching method is needed to address these challenges. This study aims to develop a reinforcement learning-based dynamic dispatching system, in which dispatching agents learn optimal dispatching rules for given environmental states. The state space represents various information such as WIP(work-in-process) and inventory levels, order status, machine status, and process status. A dispatching agent selects an optimal dispatching rule that considers multiple objectives of minimizing total tardiness and minimizing the number of setups at the same time. In particular, this study targets a multi-area manufacturing system consisting of a flow-shop area and a cellular-shop area. Thus, in addition to the dispatching agent that manages inputs to the flow-shop, a dispatching agent that manages transfers from the flow-shop to the cellular-shop is also developed. These two agents interact closely with each other. In this study, an agent-based dispatching system is developed and the performance is verified by comparing the system proposed in this study with the existing static dispatching method.

존 로스는 만주와 한국의 선교사이자 최초로 성경을 한글로 번역한 번 역가, 학교를 설립한 교육자로 잘 알려져 있다. 이외에도 존 로스는 한국 사 학자이기도 하다. 따라서 존 로스의 한국사와 각종 글을 통해 그가 가진 한국사에 대한 독특한 관점을 이해하는 것이 필요하다. 그의 한국 사는 서양어로 쓴 최초의 한국 통사라는 의의가 있다. 고조선부터 강화 도조약까지 한국사를 다루었다. 그는 만주의 역사를 한국의 역사로 인식 하고, 한국의 역사를 중국과 투쟁하면서 중국과 구별되는 독립성을 가진 역사라고 주장하였다. 그는 한국사 저술을 위해 여러 제약에도 불구하 고 수많은 책을 참고하였고, 철저한 사료 비판을 하였다. 하지만 한국사 전체를 골고루 다루지 못하고 전쟁을 중심으로 서술했다는 것과 중국 자 료를 많이 참고하였다는 점은 한계로 지적된다. 존 로스는 서구 중심적 인 사고가 팽배한 때 한국사의 독립성과 특수성을 강조하였다. 존 로스 의 한국사 이해는 외부 시선을 통해 한국사를 보다 객관적으로 보는 좋 은 기회가 될 것이다.

본 연구는 청소년의 학업열의에 영향을 미치는 부모양육태도, 교사와의 관계, 친구관계, 사회정서역량 간의 구조적 관계를 탐구하는 것을 목적으 로 한다. 경상북도교육청연구원에서 수행한 「학생의 사회적 지지, 사회정 서역량 및 학업열의 수준 파악과 구조적 영향관계」 조사를 바탕으로, 경 북 지역 중학생 1,716명을 대상으로 SPSS 28.0, Stata 16.0, SAS, Smart-PLS 3.0을 활용하여 빈도분석, 기술통계, 상관관계분석, 구조방정 식 모델을 통한 경로분석을 실시하였다. 첫째, 부모양육태도는 사회정서 역량에 긍정적인 영향을 미쳤으나, 학업열의에는 직접적인 영향을 미치지 않았다. 둘째, 교사와의 관계는 사회정서역량과 학업열의 모두에 유의한 정적 영향을 주었다. 셋째, 친구관계 역시 사회정서역량과 학업열의에 긍 정적 영향을 미치는 것으로 나타났다. 넷째, 사회정서역량은 학업열의에 정적 영향을 미쳤으며, 특히 부모양육태도, 교사와의 관계, 친구관계가 학 업열의에 미치는 영향에서 중요한 매개효과를 보였다. 다섯째, 통제변인 인 성별과 학년을 분석한 결과, 여학생의 학업열의는 남학생보다 낮은 경 향이 있었고, 학년이 높아질수록 사회정서역량이 감소하는 경향이 확인되 었다. 따라서, 청소년의 학업열의를 향상시키기 위해서는 부모와 교사의 지지, 긍정적인 친구관계, 그리고 사회정서역량의 증진이 필수적이다. 또 한, 사회정서역량을 강화하는 프로그램 개발과 교육적 접근이 요구되며, 이는 청소년들의 학업에 대한 열의를 고취시키고 학업 성취를 증진하는 데 중요한 전략적 요소가 될 수 있다.

Motivated by the effort of diagnostic interventions for EFL learners in Korean educational contexts, this study aims to identify heterogeneous L2 reading skill profiles among students attending the same school. Subsequently, it investigates the impact of learners’ L2 learning backgrounds on heterogeneity of these reading skills. Using Latent Profile Analysis on 234 vocational high school students, we identified four distinct profiles: Profile 1, severely weak L2 readers with very low decoding and syntactic knowledge; Profile 2, moderately weak L2 readers; Profile 3, above-average L2 readers; and Profile 4, fairly well-developed L2 readers with good vocabulary breadth. Multinomial regression analysis revealed that profile membership was significantly predicted by positive past learning experiences, extra-curricular English reading, and motivational attitudes. These findings underscore the significant heterogeneity in L2 reading skills within the seemingly homogeneous EFL group and highlight the critical association with past and current educational experiences, emphasizing the importance of tailored interventions based on individual learning histories.

본 논문은 마르쿠스 가브리엘의 신실재론(New Realism)을 통해 윌리엄 버틀러 예이츠(W.B. Yeats)의 시를 재조명하며, 그의 상징들이 지닌 자율성과 내재적 의미를 탐구한다. 가브리엘의 ‘의미의 장(fields of sense)’ 개념은 예이츠의 상징을 개 인적 혹은 문화적 맥락의 반영으로 제한하는 인간 중심적 해석을 넘어, 상징이 인간 인식과 무관하게 독립적 의미를 지닌 존재임을 보여준다. 이러한 관점은 예이츠의 상 징적 세계를 다차원적 실재로 위치시키며, 그의 역사적 현실과 신화적 상상력의 교차 를 조명할 수 있게 해준다. 가브리엘의 철학은 예이츠의 시에서 자율적 실재를 발견하 며, 시적 의미를 독립적이고 자율적인 존재와의 만남으로 재정의한다.