PURPOSES : This study aims to analyze the efficiency of the safety and management of private highways. METHODS : Variables were selected based on the data and performance related to the safety of 18 private highways. The appropriateness of operations management was reviewed using Data Envelopment Analysis (DEA) analysis. Items with a scope for improvement were reviewed and adjustment measures were presented. RESULTS : To increase safety management efficiency, the degree of reduction in personnel and operating expenses was presented based on the relative efficiency group. CONCLUSIONS : It is necessary to adjust the appropriate management organization and operating costs according to the characteristics of each route. Moreover, the limitations of the study and possible improvements were presented.

Reinforcement learning (RL) is widely applied to various engineering fields. Especially, RL has shown successful performance for control problems, such as vehicles, robotics, and active structural control system. However, little research on application of RL to optimal structural design has conducted to date. In this study, the possibility of application of RL to structural design of reinforced concrete (RC) beam was investigated. The example of RC beam structural design problem introduced in previous study was used for comparative study. Deep q-network (DQN) is a famous RL algorithm presenting good performance in the discrete action space and thus it was used in this study. The action of DQN agent is required to represent design variables of RC beam. However, the number of design variables of RC beam is too many to represent by the action of conventional DQN. To solve this problem, multi-agent DQN was used in this study. For more effective reinforcement learning process, DDQN (Double Q-Learning) that is an advanced version of a conventional DQN was employed. The multi-agent of DDQN was trained for optimal structural design of RC beam to satisfy American Concrete Institute (318) without any hand-labeled dataset. Five agents of DDQN provides actions for beam with, beam depth, main rebar size, number of main rebar, and shear stirrup size, respectively. Five agents of DDQN were trained for 10,000 episodes and the performance of the multi-agent of DDQN was evaluated with 100 test design cases. This study shows that the multi-agent DDQN algorithm can provide successfully structural design results of RC beam.

Timber structures are susceptible to moisture, contamination, and pest infestation, which can compromise their integrity and pose a significant fire hazard. Despite these drawbacks, timber's lightweight properties, eco-friendliness, and alignment with current architectural trends emphasizing sustainability make it an attractive option for construction. Moreover, timber structures offer economic benefits and provide a natural aesthetic that regulates building temperature and humidity. In recent years, timber domes have gained popularity due to their high recyclability, lightness, and improved fire resistance. Researchers are exploring hybrid timber and steel domes to enhance stability and rigidity. However, shallow dome structures still face challenges related to structural instability. This study investigates stability problems associated with timber domes, the behavior of timber and steel hybrid domes, and the impact of timber member positioning on dome stability and critical load levels. The paper analyzes unstable buckling in single-layer lattice domes using an incremental analysis method. The critical buckling load of the domes is examined based on the arrangement of timber members in the inclined and horizontal directions. The analysis shows that nodal snapping is observed in the case of a concentrated load, whereas snap-back is also observed in the case of a uniform load. Furthermore, the use of inclined timber and horizontal steel members in the lattice dome design provides adequate stability.

이 연구의 목적은 독일통일과정에서 통일의 기폭제 역할을 해온 ‘베를 린 장벽’(Berliner Mauer) 붕괴의 역할을 분석하면서 이를 참고로 한반 도 통일의 함의를 도출하자는 데 있다. 이 분석은 베를린 장벽의 구축으 로부터 붕괴되기까지의 과정을 네 가지 외부적 행위요인(전승4국, 3+1체 제, 고르바초프, 2+4회담)과 세 가지 국내적 행위요인(베를린 장벽, 동서 독 주민, 샤보브스키)에 초점을 두고 이들 간의 상호관계적 측면에서 비 교분석하고자 한다. 이 연구는 베를린 장벽의 붕괴가 독일통일을 이룬 단초적 선례가 되는 만큼, 통일한국에서도 비무장지대(DMZ)의 역할이 무엇인지도 동시에 고찰한다. 즉 독일통일과정이 동서독 당국 간의 정상 회담이나 협상 차원만은 아니었듯이, 우리도 남북한 통일을 위해서는 베 를린 장벽 붕괴의 역할을 해낸 통일독일 사례처럼 DMZ 문제에 있어 이 를 벤치마킹할 필요성이 있다.

신기술에 대한 투자규모가 크게 증가하고 있고, 과학기술이 사회 전반적으로 대규모·복합적인 영향을 미치고 있다. 정부는 새로운 신기술이 사회에 수용되려면 과학기술에 대한 국민적 관심이 큰 만큼 기술이 국민과 사회에 미치는 영향에 대해서 잘 평가할 의무가 있다. 이를 위한 사회적 합의를 이루기 위해 기술영향평가를 한다. 이를 위한 방법에 대한 연구가 50년째 지속되고 있고, 다양한 학술연구와 수많은 신기술 대응 정책을 통해 논의 된 이후 시대적 변화와 흐름이 있었기에 글로벌 학계와 정책에서 신기술의 미래사회 영향력에 대한 다각적 분석 등이 강조되고 있다. 본 연구는 선진국의 기술영향평가 창안 방식과 우리나라에서 발전된 방식이 다름에도 불구 하고 그동안 신기술 기술영향평가 고려되어야 하는 예측요소와 단계 등 연구 변화에 주목하였다. 연구결과 인식도에 대해 기술 이해도, 전문성, 성별특성 세 개 요소를 도출하고, 기존 요소에 추가해 신기술 예측요소로 제안하였다. 연구의 결과는 우리나라 과학기술기본법에 의거 개선된 기술영향평가를 실시하는데 있어 학술 및 정책적 뒷받침하는 근거를 제시하였다.

This study used hydroacoustic method to identify the vertical and horizontal distribution of Antarctic silverfish in the Ross Sea, Antarctica. In February and December 2018, Antarctic silverfish was detected up to 250 meters, and was mainly distributed in water depths of 20 to 30 meters. The horizontal distribution of Antarctic silverfish was mostly undetected in February, and December showed a relatively stronger distribution than that of February. Antarctic silverfish is characterized by their distribution near sea ice.

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.

Tempeh is a traditional Indonesian food that is fermented soybeans with Rhizopus spp. and contains high-quality protein. In this study, tempeh and yeast were set as independent variables following the central composite design to optimize the nutritional quality and sensory characteristics of high-protein loaf bread added with tempeh. The optimal mixing ratio was calculated through the response surface methodology. The optimal mixing ratio of tempehadded loaf bread was 11.27 g of tempeh and 5.46 g of yeast. A comparative analysis of the quality characteristics between the tempeh-added loaf bread and the control group produced by the optimal recipe showed that tempehadded loaf bread contained higher protein content, lower carbohydrates and fats, and lower calories. Among amino acids, essential amino acids such as aspartic acid, threonine, glycine, alanine, lysine, and histidine were significantly higher in tempeh-added loaf bread. Among fatty acids, butyric acid, capric acid, myristic acid, palmitic acid, palmitoleic acid, and heptadecanoic acid were significantly higher in tempeh-added loaf bread, while lauric acid, linoleic acid, and linolenic acid were significantly lower. This study confirmed the suitability of tempeh as an ingredient for protein-enhanced loaf bread and the potential possibility of it being utilized in bakeries.

Dongchimi is one of the most representative types of watery kimchi in Korea. Although the scope of application of dongchimi has been expanded, research on the quality of dongchimi is insufficient compared to that of baechu kimchi. This study aimed to find the optimal manufacturing condition of high-acidity dongchimi and investigate the effects of potassium citrate (P) and sugar (S) on quality. Different dongchimi samples (Control, S, P) were prepared and stored at 15oC for 15 days. Among the various sugars, sucrose made the highest acidity of dongchimi. When potassium citrate was added as a pH buffer, the acidity was 2.2 times higher than the control group. In the PS group, where sucrose and potassium citrate were added, the acidity and organic acid content were 3-fold and 3.7-fold higher, respectively, than those in the control group. As a result of the analysis of the free sugar content, the metabolism of lactic acid bacteria was expected to be relatively more activated in the PS group. Therefore, this study could be utilized in the dongchimi manufacturing industry or as primary data for other dongchimi research.