본 연구에서는 기존에 제안되었던 공정 중심 모델링 방법을 개선하여 조선소의 다양한 생산 정보와 제약조건을 효과적으 로 표현할 수 있도록 개선된 공정 중심 시뮬레이션 모델링 방법을 제안하였다. 그리고 이를 이용하여 시뮬레이션 모델을 구축할 수 있도록 다이어그램 구성 요소와 모델링 방법을 상세히 기술하였다. 이 모델링 방법에서는 복수의 제품과 설비가 공정에 투입되었을 때 우선순위를 지정할 수 있으며, 계층 구조를 가진 시뮬레이션 모델을 표현할 수 있도록 레이어 개념이 적용되어 있다. 그리고 조선 소 생산 계획 정보를 바탕으로 절단 공정부터 대조립 블록 조립 공정까지를 본 논문에서 제안하는 방법으로 모델링하다. 이를 통하여 본 논문에서 제안하는 방법이 단일 설비가 여러 용도로 사용되는 경우에 기존의 모델링 방법에 비하여 유리한 것을 확인하였다. 결과 적으로, 개선된 공정 중심 시뮬레이션 모델링 방법은 기존의 공정 중심 시뮬레이션 모델링 방법에서 표현하기 힘들었던 제약 조건과 흐름을 효과적으로 표현할 수 있으며, 계층 구조를 가진 조선소 생산 계획 검증 시뮬레이션 모델을 체계적으로 구축하는데 활용할 수 있다.

This research aims to identify the possibility of developing A horizon resources that can be used for construction and civil engineering work. As such, the utility of A horizon resources was examined by establishing planting ground through a mixture of soil layers and by analyzing the growth and development of Pinus densiflora. The physicochemical and physical properties of the soil were as follows: the A horizon was sandy clay loam, B horizon was sandy loam, and the mixture of two layers appeared as sandy loam, which was identical to the B horizon. The experimental groups did not show any significant difference in their physical properties of porosity and degree of water-stable aggregates. With regards to chemical properties, the A horizon as well as the mixture of A and B horizon showed acidity while the B horizon showed alkalinity. The figures of organic matter, total nitrogen, available phosphate, and replaceable potassium were greater as the A horizon content increased, whereas the figures of replaceable calcium, replaceable magnesium, and conductivity increased as the A horizon content decreased. As a result of the growth and development of Pinus densiflora in each planting ground, the final survival rates were all above 100%. However, the tree height and the rate of growth for the diameter of root were higher in the order of A horizon > A horizon + B horizon > B horizon,indicating that the increased A horizon content is related to the growth and development of Pinus densiflora. The treatment of soil with improvement agents, used to recover the functions of in-situ soil showing poor growth and development, did not have a clear impact on the soil texture and porosity. However, the degree of water-stable aggregates increased significantly when using O horizon as the soil improvement agent among the types of in-situ soil. In contrast, all items related to the chemical properties showed significant differences following the treatment by soil improvement agents. The survival rate according to the treatment of soil improvement agents for the growth and development of Pinus densiflora was higher in the order of organic horizon = no treatment > compound fertilizer > organic fertilizer + compound fertilizer > organic fertilizer; this result was statistically significant with a marginal significance value of the log-rank test(p < 0.05).

The main goal of e-learning systems is just-in-time knowledge acquisition. Rule-based elearning systems, however, suffer from the mesa effect and the cold start problem, which both result in low user acceptance. E-learning systems suffer a further drawback in rendering the implementation of a natural interface in humanoids difficult. To address these concerns, even exceptional questions of the learner must be answerable. This paper aims to propose a method that can understand the learner’s verbal cues and then intelligently explore additional domains of knowledge based on crowd data sources such as Wikipedia and social media, ultimately allowing for better answers in real-time. A prototype system was implemented using the NAO platform.